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The Deep Dark – The Indian Express

Written by Paromita Chakrabarti | New Delhi | Updated: October 25, 2020 8:31:26 amHere's 2 books which talk about mental health, deep friendships, depression and more.

On one of her Instagram posts on World Mental Health Day on October 10, Kairavi Bharat Ram noted, Weve all had those moments when giving up is on our mind,/ When to your dark future you feel totally resigned,/But pat yourself on your back and keep repeating this phrase, So far you have survived 100 % of your bad days. Its the memory of the darkness that she has overcome and her deep sense of empathy that Bharat Ram shares in her latest book, C is for Cat, D is for Depression (Scholastic, Rs 495, appropriate for young adults). Depression. There I said it. Its always spoken of with a hush./ Such an important topic upon which in school they dont even brush./ You may have heard the word but not know what it means,/ Its hard to really understand unless in depression you have been, she writes, taking her readers on a journey into the dark, clammy world of a mental health affliction that continues to affect a considerable percentage of children and young adults across the world and that has found few expressions in popular literature, especially for children.

Bharat Ram, 22, identifies depression as a dark pit, a ceaseless radio commentary of negativity in her head, a churning ocean that leaves her floundering for lack of swimming skills or a nightmare without end. Her spare narrative is lit with the patient awareness of one who has walked the difficult path herself, telling her readers about the different ways depression manifests itself, the havoc it wreaks and the coping mechanisms that have worked for her. Facing it head-on is best, youve got nothing to fear,/ After all Ive been through, Im still HERE, she writes.

As always, illustrator Priya Kuriyans work blends into the narrative with intuitive precision, her colour palette moving from bleak monochromes to a hopeful, warm-hearted burst of colours. This is a gorgeous, sensitive book on mental health that needs to be read over and over again, not just by those trying to understand its vagaries, but by everyone who hopes to be there when a loved one is in need of empathy and solidarity.

Ten-year-old Susruta Patel, better known as SP, just cannot seem to find the light at the end of the long tunnel that he tumbles into ever so often. He feels things deeply be it the barbs of school bullies or his fathers disappointment at his lack of prowess in football. His inability to match up to the expectations of those around him makes him feel smaller every day. The only thing that gives him comfort is his art book, where he sketches episodes from his life. But, some days, all he can manage are squiggles and loops, just like the reels of his own inadequacies that runs through his mind.

Mumbai-based writer Vaishali Shroffs The Boy in the Dark Hole (Eklavya, Rs 110; appropriate for: 8+ years) addresses an important theme the fragility of mental health in children and how tenuously balanced it often is for those who dont always conform to general standards. In keeping with SPs anxiety, Samidha Gunjals artwork moves from a mostly blue-and-grey colour palette to a burst of colours towards the end. While a tighter editing, especially in the early chapters, would have served the book better, Shroff does a good job of bringing out the casual cruelty of peers, the burden of expectations on hypersensitive children and the comfort of deep friendships.

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Technological innovations of AI in medical diagnostics – Health Europa

However, as IDTechEx has reported previously in its article AI in Medical Diagnostics: Current Status & Opportunities for Improvement, image recognition AIs current value proposition remains below the expectations of most radiologists. Over the next decade, AI image recognition companies serving the medical diagnostics space will need to test and implement a multitude of features to increase the value of their technology to stakeholders across the healthcare setting.

Radiologists have a range of imaging methods at their disposal and may need to utilise more than one to detect signs of disease. For example, X-ray and CT scanning are both used to detect respiratory diseases. X-rays are cheaper and quicker, but CT scanning provides more detail about lesion pathology due its ability to form 3D images of the chest. It is sometimes necessary to follow-up a chest X-ray scan with a CT scan to further investigate a suspicious lesion, but AI-driven analysis software can only process one or the other.

To enable efficient analysis of patient scans, image recognition AI software should be able to combine and interpret data from different imaging sources to gain a better perspective of the patients pathology. This could generate deeper insights into disease severity and progression, thereby providing radiologists with a higher level of understanding of the condition of patients.

Some AI companies are already attempting to train their algorithms using data gathered from different imaging methods into one comprehensive analysis, but this remains a challenge for most. Recognising signs of disease in images from multiple modalities requires a level of training far beyond the already colossal training process for single modality image recognition AI. From a business perspective, it is currently simply not worth it for radiology AI companies to explore this due to the sheer quantity of data sets, time and manpower required to achieve this. This suggests that sensor fusion will remain an issue for the rest of the coming decade.

Another important innovation will be to apply image recognition AI algorithms to multiple diseases. Currently, many AI-driven analysis tools can only detect a restricted range of pathologies. Their value in radiology practices is hence limited as the algorithms may overlook or misconstrue signs of disease that they are not trained on, which could lead to misdiagnosis. Such issues could lead to a mistrust of AI tools by radiologists, which may in turn reduce their rate of implementation in medical settings.

In the future, AI algorithms will recognise not just one but various conditions from a single image or data set (e.g., multiple retinal diseases from a single fundus image). This is already a reality for numerous radiology AI companies. For example, DeepMinds and Pr3vents solutions are designed to detect over 50 ocular diseases from a single retinal image, while VUNOs algorithms can detect a total of 12.

Detecting multiple pathologies from the same images requires expert radiologists to provide detailed annotations of each possible abnormality in a photo, and to repeat this process thousands or even millions of times, which is highly time-consuming and thus expensive. As a result, some companies prefer to focus on a single disease. Allocating the resources to achieving multiple disease detection capabilities will be worth it in the long run for AI companies, however. Software capable of detecting multiple pathologies offers much greater value than software built to detect a specific pathology as it is more reliable and has wider applicability. Companies offering single-disease application software will soon be forced to extend their products application range to stay afloat in this competitive market.

A key technical and business advantage lies in the demonstration of success in dealing with a wide range of patient demographics as it widens the softwares applicability. AI software must work equally well for males and females, and different ethnicities, for example.

While training deep learning algorithms to detect a specific disease, the training data should encompass numerous types of abnormalities associated with this disease. This way, the algorithm can recognise signs of the disease in a multitude of demographics, tissue types, etc. and achieve the level of sensitivity and specificity required by radiologists. For instance, breast cancer detection algorithms need to recognise lesions in all types of breast (e.g. different densities). Another example is skin cancer. Historically, skin cancer detection algorithms have struggled to distinguish suspicious moles in dark skin tones as changes in the appearance of the moles are more challenging to identify. These algorithms must be able to examine moles in all skin types and colours. From an image of a suspicious mole, the software should also be able to recognise the stage of disease progression based on its shape, colour and diameter. Otherwise, if an algorithm encounters a type of abnormality that doesnt match any of the conditions it recognises, it will classify it as not dangerous as it doesnt associate it with any condition that it knows. Having a diverse data set also helps to prevent bias (the tendency of an algorithm to make a decision by ignoring options that go against its initial assessment).

The architecture of AI models used in medical image analysis today tends to be convoluted, which extends the development process and increases the computing power required to utilise the software. Companies developing the software must ensure that their computing power is sufficient to support customers activities on their servers, which requires the installation of expensive Graphical Processing Units (GPUs). In the future, reducing the number of layers while maintaining or improving algorithm performance will represent a key milestone in the evolution of image recognition AI technology. It would decrease the computing power required, accelerate the results generation time due to shorter processing pathways and ultimately reduce server costs for AI companies.

The installation of AI software for medical image analysis can sometimes represent a significant change to hospitals and radiologists workflow. Although many medical centres welcome the idea of receiving decision support through AI, the reality of going through the installation process can be daunting enough to deter certain hospitals.

As a result, software providers put a lot of effort into making their software universally compatible so that it fits directly into radiologists setups and workflows. This will become an increasingly desirable feature of image recognition AI as customers favour software that is compatible with all major vendors, brands, and models of imaging equipment. This is already a reality as most FDA-cleared algorithms are vendor-neutral, meaning that they can be applied to most types of scanner brands and models.

Today, AI algorithms only have access to medical imaging data. As such, the condition and medical history of patients are unknown to the AI software during the analytical process. Because of this limitation, the software is restricted to locating abnormalities, providing quantitative information and, in some cases, assessing the risk of disease.

While these insights can be highly valuable to doctors, particularly when done faster and more accurately than human doctors, AI can do more. To utilise the full capabilities of AI and provide additional value in medical settings, software developers must focus on post-diagnosis support too. Although this remains a rare aspect of medical image recognition AI as of mid-2020, companies are starting to explore this possibility.

Some skin cancer detection apps such as MetaOptima and SkinVision provide actionable recommendations for further action after an assessment is made. These include scheduling subsequent appointments for follow-up or biopsy or setting reminders for the next skin checks. Post-diagnosis support is becoming a desirable feature as it complements the doctors evaluation, almost like a second opinion, and thus provides the doctor with more confidence in their assessment.

Ultimately, doctors seek a solution that aids them to establish viable treatment strategies. To achieve this, the software needs information relating to patients electronic health records, clinical trial results, drug databases and more. This goes beyond simple image recognition. Most companies currently have no confirmed plans to address this. Implementation of these systems will remain a work in progress for the next decade and beyond due to technical challenges caused by the overlap and interoperability required between various hospital and external databases.

The idea of integrating image recognition AI software directly into imaging equipment (e.g. MRI or CT scanners) is gaining momentum as it would facilitate the automation of medical image analysis. In addition, it avoids problems with connectivity as no cloud access is required. This is being done more frequently recent examples include Lunits INSIGHT CXR software integration into GE Healthcares Thoracic Care Suite and MaxQ AIs Intracranial Haemorrhage (ICH) technology being embedded into Philips Computed Tomography Systems.

A downside of integrating AI software into imaging equipment is that the hospital/radiologist has no flexibility to choose the provider/software that best suits their needs. The value of this approach depends on the performance level and capabilities of the integrated AI software, and if it matches the users requirements. If that is not the case, hospitals are likely to favour cloud-based software.

From the equipment manufacturers point of view, the business advantage of integrating image recognition AI into their machines is clear. The enhanced analytical capabilities provided by the AI software would give OEM manufacturers a competitive edge as they render the machines more appealing to hospitals seeking to boost revenues by maximising the number of patients seen every day.

From a software providers perspective, the situation is less clear. AI radiology companies are currently considering the advantages of entering exclusive partnerships with manufacturers versus making their software available as a cloud-based service. IDTechEx expects a divide to arise among AI radiology companies in the next five to 10 years. Some will choose the safe option of selling their software exclusively to large imaging equipment vendors due to the security that long-term contracts can provide. Others will lean more towards continuing with the current business model of catering directly to radiology practices.

For more detailed information on AI in Medical Diagnostics, please visit the IDTechEx report AI in Medical Diagnostics 2020-2030: Image Recognition, Players, Clinical Applications, Forecasts.

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African Mental Health Summit to emphasize the importance of cultural understanding – MinnPost

We may be living in a time of mandated physical distancing, but organizers of Minnesotas semiannual African Mental Health Summit say they are committed to bringing event participants closer together by building strong connections between individuals and by emphasizing the innate strengths of African and African American culture.

The conference, titled Building Mindful Connections: The Invincibility of Mindful Self-Care for Helping Professionals, will be held virtually on Oct. 31 from 9 a.m. to 4 p.m. CDT.

Richard Oni

Because of the fact that now everything is done online and people are practicing social distancing, he said, we want to talk about how we can still stay emotionally connected, how can we keep emotional connections with one another even when we are physically distancing.

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Elder Atum Azzahir, founder and executive director of Cultural Wellness Center, a Minneapolis-based nonprofit that offers classes, coaching and consulting around developing culturally based solutions to real-world problems, will be delivering the summits keynote presentation.

In these uncertain, trying times, she said, taking a deeper look at ones own culture and learning about its innate strengths can build a sense of inner knowing and a confidence that can help forge connections to people from a variety of backgrounds.

Elder Atum Azzahir

Youve probably heard a lot about trauma-informed ways of communication, she said. Youve heard about historical trauma. Youve heard about the way people carry forward the memories of their ancestors. Azzahir encourages people to embark on a cultural self-study, where they take a deeper look at their own family histories.

Cultural self-study and cultural wellness go hand in hand, she said. Cultural self-study gives you a sense of what is good about your nature and helps you to know how to carry those good elements forward.

Conference presenters will emphasize this approach to understanding history, added Tolulope Ola, summit co-organizer and executive director of Restoration for All, a St. Paul-based organization that partners with communities to restore cultural connections. Culture is at the heart of all we do, she believes, and encouraging people of all backgrounds, but especially those of African descent, to build a deeper understanding and appreciation of their cultural ways of knowing can help to improve and support mental health.

Knowing our culture is a necessary factor in our self-care, Ola said. If we are going to question the system and be able to act courageously to make change in it, we need to appreciate our own culture and the culture of others. We live in uncertain times, she said: If we keep talking about the necessity of resilience, why dont we teach people to be resilient?

Building cultural competency is a key part of developing resilience in the face of seemingly insurmountable obstacles, Ola added: This is the essence of this conference.

Growing up in in the 1940s and 50s in segregated Mississippi, Azzahir, 76, said that she inherited a sense of hope and optimism from her parents and grandparents, who, she explained, endured some of the most horrific things and still walked around with a sense of joy and gratitude.

Tolulope Ola

As she moved into adulthood, Azzahir began a lifelong quest to better understand the origins of her African culture.

As I grew up and I lived my life I knew those terrible things had happened to my family members, but I didnt spend time focusing on them, she said. Instead, I spent time in community organizing, community building and talking to and watching Black people recover and hold on to themselves. I learned from my mother and father and those around me who hung on to a level of honor and beauty and grace and the capacity to be loving and forgiving.

Her curiosity and wonder piqued, Azzahir eventually traveled through Africa, reading every book I could get my hands on, talking to every Black person I could talk to. What she learned on her journeys, she said, was that there is a cultural value system, distinct customs, cultural ceremonies, yes, but there is also a way of knowing that is distinctly African.

In her keynote address, Azzahir said she will discuss how a general lack of cultural understanding has played a role in the larger reaction to current social events. This unrealized awareness of their deep, inherited cultural strengths has put many Africans and African Americans at a distinct disadvantage during this difficult time in world history.

The coronavirus and other things have now brought to surface in a very profound way some of the preexisting conditions that relate to people of African heritage in the United States, Azzahir said. We have experienced such profound uprootedness and the disconnecting from culture and the stripping of language. This has to be addressed.

But the present and the future doesnt have to be dark, she insisted. Building a deeper understanding of cultural strengths can help build stores of resilience and emotional well-being.

How do you reassure yourself that you have an emotional storage bin and within that storage bin there are all these things that you can pull forward to build your emotional strength? Azzahir asked. These cultural strengths preexisted the trauma youve just experienced. If you really study your culture, you can go all the way beyond the pain, suffering and struggle.

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Azzahir said that she is pleased to be able to deliver an inspiring message in these dark days.

I get to be the cheerleader, she said with a laugh. Thats a role Im happy to play.

The summits intended audience, Oni said, is individuals in caring professions, including teachers, physicians, medical professionals and social workers. He said that conference organizers wanted to help participants increase feelings of empathy and understanding of the cultural mores and nuances that impact the behaviors of the people they serve.

Increasing empathy and understanding helps build relationships, Oni said. You build connection through empathy. When you look at people emotionally and align with them emotionally, that is empathy and that is a good approach.

Teachers, especially, can benefit from increased understanding of and sympathy with the unique cultures of students and their families.

As a teacher, how do you look at your students and empathize with them? Oni asked. Through your teaching, through your approaches, through observing people and the way they express their culture.

This patient, observational approach can improve teaching styles, he said: Some people, for instance, are very much oriented to writing and reading. Some people just listen. Their orientation is to the oral tradition. When you have students who prefer to listen, because that is their cultural orientation, you need to be able to present some lessons to them orally.

This approach requires an understanding that the accepted ways of looking at the world arent necessarily the best way. My presentation topic will be more on the area of how do you see yourself in other peoples shoes, Oni said. As helpers, as doctors, as social workers, as janitors in schools, how do you contribute, how do you become humble?

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Humility can be difficult to cultivate for some people, he added, but being humble can benefit everyones emotional well-being.

When it comes to mental health, we are saying, How do you connect with someone who is suffering from mental illness? How do you do you build connections? Putting yourself in their shoes helps build understanding and community.

Jane Reilly

Im going to be talking about resilience and how during this time of COVID, when we are overwhelming communities, our health care, individuals, our teachers, our education systems, how we can dip into that internal strength and how we can do that collectively, she said.

Reilly explained that emphasizing the importance of building connections and collective learning is a way to help people facing severe challenges build resilience.

People right now are finding themselves isolated from one another, she said. Often the feeling of distance that mandated isolation creates it is not necessary. I will talk about reaching in to not only find individual strength but also community strength and helping to support each other.

Resilience, Reilly added, is a state of mind and a state of heart. We say social distancing, but its not distant. Yes, we need to physically distance, but we dont need to be emotionally distant from each other.

Though this physical distance is mandated for the time being, she said, Our hearts dont need to be distanced. It is about staying emotionally connected and looking at the individual as part of a whole community. It is also about individual resilience and strength. Were not separate. Were all connected.

The connections between cultural understanding and mental health are clear, Oni said. When a person is confident in their own culture, they innately understand the best way to approach and treat mental illness. This cultural understanding should be acknowledged by mental health workers and other people in caring professions.

In a culturally aware approach, he said, professionals will encourage people to apply what best works for them when they are working on their own mental health.

In his professional life, Oni said hes learned that not all cultures see mental illness the same way: A lot of the time I see people experience and express mental health differently. Some people may prefer to see a shaman for mental health issues, rather than a therapist working in a Western-based tradition: A shaman may approach treatment differently from a doctor who would push medication.

In her talk, Ola said that she will emphasize the concept that deep cultural understanding of your own culture and that of others should inform a professionals approach to care. She believes that building strong self-understanding is key not only in trying times but also in normal ones.

I will be talking about culturally oriented mindful self-care, she said. If I have a self-knowledge of myself I will know when to understand when I am tired and when I need to take time for myself. She wants to pass that self-knowledge on to summit participants. As Africans, sometimes we dont know when to stop. We are always out there. As immigrants, too, we dont always know when to stop and take care of ourselves.

Ola said she plans to emphasize the importance of prioritizing responsibilities in supporting mental health: You have the ability to say no to what you dont have time to take on. When you take on too much you cannot perform in all the areas of your life. It is part of having that cultural competence and mindful self-care.

Continuing education credits are available to African Mental Health summit attendees. The event is free, and registration is available online.

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Quantum Time Twist Offers a Way to Create Schrdinger’s Clock – Scientific American

Albert Einsteins twin paradox is one of the most famous thought experiments in physics. It postulates that if you send one of two twins on a return trip to a star at near light speed, they will be younger than their identical sibling when they return home. The age difference is a consequence of something called time dilation, which is described by Einsteins special theory of relativity: the faster you travel, the slower time appears to pass.

But what if we introduce quantum theory into the problem? Physicists Alexander Smith of Saint Anselm College and Dartmouth College and Mehdi Ahmadi of Santa Clara University tackle this idea in a study published today in the journal Nature Communications. The scientists imagine measuring a quantum atomic clock experiencing two different times while it is placed in superpositiona quirk of quantum mechanics in which something appears to exist in two places at once. We know from Einsteins special theory of relativity that when a clock moves relative to another clock, the time shown on it slows down, Smith says. But quantum mechanics allows you to start thinking about what happens if this clock were to move in a superposition of two different speeds.

Superposition is a strange aspect of quantum physics where an object can initially be in multiple locations simultaneously, yet when it is observed, only one of those states becomes true. Particles can be placed in superposition in certain experiments, such as those using a beam splitter to divide photons of light, to show the phenomenon in action. Both of the particles in superposition appear to share information until they are observed, making the phenomenon useful for applications such as encryption and quantum communications.

Some atoms, meanwhile, can act as atomic clocks, with their rate of decay noting the passage of time. In their paper, Smith and Ahmadi describe how an atomic clock placed in superposition could experience time dilation, just like Einsteins twins experiment, if one of the superposition states is moved at several meters per second while the other remains stationary. Instead of the atom simply being in two states at onceas described in the Schrdingers cat experimentthe states would actually age differently. Its kind of like Schrdingers clock, Smith says.

Vlatko Vedral, a physicist at the University of Oxford, who was not involved in the study, says the idea allows for a rare opportunity to merge quantum mechanics with relativitytwo areas of physics that infamously do not mix well. You can actually combine the superposition principle in quantum mechanics with this notion of time dilation in relativity, he says. Its exactly Einsteins twins but now applied to the same system. Thats the twist. The final state is really amazing, because the atom is back in the same position where you started, but internally, it feels two different times. Its in a superposition of being older and younger at the same time.

Though the effect is far too small to be noticeable to humans, this idea of quantum time dilation could have repercussions for high-precision quantum clocks. And crucially, the new study suggests it might be possible to measure the effect experimentally. Im hoping this paper really prompts people to try to do this in the lab, Vedral says. And Smith suggests an experimental proposal could be drafted in the near future, perhaps using spectroscopy to split light, to look for this signature of quantum time dilation. We might be able to see this in the next five to 10 years, he says. I dont think its science fiction by any means.

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Quantum Tunnels Show How Particles Can Break the Speed of Light – Quanta Magazine

No sooner had the radical equations of quantum mechanics been discovered than physicists identified one of the strangest phenomena the theory allows.

Quantum tunneling shows how profoundly particles such as electrons differ from bigger things. Throw a ball at the wall and it bounces backward; let it roll to the bottom of a valley and it stays there. But a particle will occasionally hop through the wall. It has a chance of slipping through the mountain and escaping from the valley, as two physicists wrote in Nature in 1928, in one of the earliest descriptions of tunneling.

Physicists quickly saw that particles ability to tunnel through barriers solved many mysteries. It explained various chemical bonds and radioactive decays and how hydrogen nuclei in the sun are able to overcome their mutual repulsion and fuse, producing sunlight.

But physicists became curious mildly at first, then morbidly so. How long, they wondered, does it take for a particle to tunnel through a barrier?

The trouble was that the answer didnt make sense.

The first tentative calculation of tunneling time appeared in print in 1932. Even earlier stabs might have been made in private, but when you get an answer you cant make sense of, you dont publish it, noted Aephraim Steinberg, a physicist at the University of Toronto.

It wasnt until 1962 that a semiconductor engineer at Texas Instruments named Thomas Hartman wrote a paper that explicitly embraced the shocking implications of the math.

Hartman found that a barrier seemed to act as a shortcut. When a particle tunnels, the trip takes less time than if the barrier werent there. Even more astonishing, he calculated that thickening a barrier hardly increases the time it takes for a particle to tunnel across it. This means that with a sufficiently thick barrier, particles could hop from one side to the other faster than light traveling the same distance through empty space.

In short, quantum tunneling seemed to allow faster-than-light travel, a supposed physical impossibility.

After the Hartman effect, thats when people started to worry, said Steinberg.

The discussion spiraled for decades, in part because the tunneling-time question seemed to scratch at some of the most enigmatic aspects of quantum mechanics. Its part of the general problem of what is time, and how do we measure time in quantum mechanics, and what is its meaning, said Eli Pollak, a theoretical physicist at the Weizmann Institute of Science in Israel. Physicists eventually derived at least 10 alternative mathematical expressions for tunneling time, each reflecting a different perspective on the tunneling process. None settled the issue.

But the tunneling-time question is making a comeback, fueled by a series of virtuoso experiments that have precisely measured tunneling time in the lab.

In the most highly praised measurement yet, reported in Nature in July, Steinbergs group in Toronto used whats called the Larmor clock method to gauge how long rubidium atoms took to tunnel through a repulsive laser field.

The Larmor clock is the best and most intuitive way to measure tunneling time, and the experiment was the first to very nicely measure it, said Igor Litvinyuk, a physicist at Griffith University in Australia who reported a different measurement of tunneling time in Nature last year.

Luiz Manzoni, a theoretical physicist at Concordia College in Minnesota, also finds the Larmor clock measurement convincing. What they measure is really the tunneling time, he said.

The recent experiments are bringing new attention to an unresolved issue. In the six decades since Hartmans paper, no matter how carefully physicists have redefined tunneling time or how precisely theyve measured it in the lab, theyve found that quantum tunneling invariably exhibits the Hartman effect. Tunneling seems to be incurably, robustly superluminal.

How is it possible for [a tunneling particle] to travel faster than light? Litvinyuk said. It was purely theoretical until the measurements were made.

Tunneling time is hard to pin down because reality itself is.

At the macroscopic scale, how long an object takes to go from A to B is simply the distance divided by the objects speed. But quantum theory teaches us that precise knowledge of both distance and speed is forbidden.

In quantum theory, a particle has a range of possible locations and speeds. From among these options, definite properties somehow crystallize at the moment of measurement. How this happens is one of the deepest questions.

The upshot is that until a particle strikes a detector, its everywhere and nowhere in particular. This makes it really hard to say how long the particle previously spent somewhere, such as inside a barrier. You cannot say what time it spends there, Litvinyuk said, because it can be simultaneously two places at the same time.

To understand the problem in the context of tunneling, picture a bell curve representing the possible locations of a particle. This bell curve, called a wave packet, is centered at position A. Now picture the wave packet traveling, tsunami-like, toward a barrier. The equations of quantum mechanics describe how the wave packet splits in two upon hitting the obstacle. Most of it reflects, heading back toward A. But a smaller peak of probability slips through the barrier and keeps going toward B. Thus the particle has a chance of registering in a detector there.

But when a particle arrives at B, what can be said about its journey, or its time in the barrier? Before it suddenly showed up, the particle was a two-part probability wave both reflected and transmitted. It both entered the barrier and didnt. The meaning of tunneling time becomes unclear.

And yet any particle that starts at A and ends at B undeniably interacts with the barrier in between, and this interaction is something in time, as Pollak put it. The question is, what time is that?

Steinberg, who has had a seeming obsession with the tunneling-time question since he was a graduate student in the 1990s, explained that the trouble stems from the peculiar nature of time. Objects have certain characteristics, like mass or location. But they dont have an intrinsic time that we can measure directly. I can ask you, What is the position of thebaseball? but it makes no sense to ask, What is the time of thebaseball? Steinberg said. The time is not a property any particle possesses. Instead, we track other changes in the world, such as ticks of clocks (which are ultimately changes in position), and call these increments of time.

But in the tunneling scenario, theres no clock inside the particle itself. So what changes should be tracked? Physicists have found no end of possible proxies for tunneling time.

Hartman (and LeRoy Archibald MacColl before him in 1932) took the simplest approach to gauging how long tunneling takes. Hartman calculated the difference in the most likely arrival time of a particle traveling from A to B in free space versus a particle that has to cross a barrier. He did this by considering how the barrier shifts the position of the peak of the transmitted wave packet.

But this approach has a problem, aside from its weird suggestion that barriers speed particles up. You cant simply compare the initial and final peaks of a particles wave packet. Clocking the difference between a particles most likely departure time (when the peak of the bell curve is located at A) and its most likely arrival time (when the peak reaches B) doesnt tell you any individual particles time of flight, because a particle detected at B didnt necessarily start at A. It was anywhere and everywhere in the initial probability distribution, including its front tail, which was much closer to the barrier. This gave it a chance to reach B quickly.

Since particles exact trajectories are unknowable, researchers sought a more probabilistic approach. They considered the fact that after a wave packet hits a barrier, at each instant theres some probability that the particle is inside the barrier (and some probability that its not). Physicists then sum up the probabilities at every instant to derive the average tunneling time.

As for how to measure the probabilities, various thought experiments were conceived starting in the late 1960s in which clocks could be attached to the particles themselves. If each particles clock only ticks while its in the barrier, and you read the clocks of many transmitted particles, theyll show a range of different times. But the average gives the tunneling time.

All of this was easier said than done, of course. They were just coming up with crazy ideas of how to measure this time and thought it would never happen, said Ramn Ramos, the lead author of the recent Nature paper. Now the science has advanced, and we were happy to make this experiment real.

Although physicists have gauged tunneling times since the 1980s, the recent rise of ultraprecise measurements began in 2014 in Ursula Kellers lab at the Swiss Federal Institute of Technology Zurich. Her team measured tunneling time using whats called an attoclock. In Kellers attoclock, electrons from helium atoms encounter a barrier, which rotates in place like the hands of a clock. Electrons tunnel most often when the barrier is in a certain orientation call it noon on the attoclock. Then, when electrons emerge from the barrier, they get kicked in a direction that depends on the barriers alignment at that moment. To gauge the tunneling time, Kellers team measured the angular difference between noon, when most tunneling events began, and the angle of most outgoing electrons. They measured a difference of 50 attoseconds, or billionths of a billionth of a second.

Then in work reported in 2019, Litvinyuks group improved on Kellers attoclock experiment by switching from helium to simpler hydrogen atoms. They measured an even shorter time of at most two attoseconds, suggesting that tunneling happens almost instantaneously.

But some experts have since concluded that the duration the attoclock measures is not a good proxy for tunneling time. Manzoni, who published an analysis of the measurement last year, said the approach is flawed in a similar way to Hartmans tunneling-time definition: Electrons that tunnel out of the barrier almost instantly can be said, in hindsight, to have had a head start.

Meanwhile, Steinberg, Ramos and their Toronto colleagues David Spierings and Isabelle Racicot pursued an experiment that has been more convincing.

This alternative approach utilizes the fact that many particles possess an intrinsic magnetic property called spin. Spin is like an arrow that is only ever measured pointing up or down. But before a measurement, it can point in any direction. As the Irish physicist Joseph Larmor discovered in 1897, the angle of the spin rotates, or precesses, when the particle is in a magnetic field. The Toronto team used this precession to act as the hands of a clock, called a Larmor clock.

The researchers used a laser beam as their barrier and turned on a magnetic field inside it. They then prepared rubidium atoms with spins aligned in a particular direction, and sent the atoms drifting toward the barrier. Next, they measured the spin of the atoms that came out the other side. Measuring any individual atoms spin always returns an unilluminating answer of up or down. But do the measurement over and over again, and the collected measurements will reveal how much the angle of the spins precessed, on average, while the atoms were inside the barrier and thus how long they typically spent there.

The researchers reported that the rubidium atoms spent, on average, 0.61 milliseconds inside the barrier, in line with Larmor clock times theoretically predicted in the 1980s. Thats less time than the atoms would have taken to travel through free space. Therefore, the calculations indicate that if you made the barrier really thick, Steinberg said, the speedup would let atoms tunnel from one side to the other faster than light.

In 1907, Albert Einstein realized that his brand-new theory of relativity must render faster-than-light communication impossible. Imagine two people, Alice and Bob, moving apart at high speed. Because of relativity, their clocks tell different times. One consequence is that if Alice sends a faster-than-light signal to Bob, who immediately sends a superluminal reply to Alice, Bobs reply could reach Alice before she sent her initial message. The achieved effect would precede the cause, Einstein wrote.

Experts generally feel confident that tunneling doesnt really break causality, but theres no consensus on the precise reasons why not. I dont feel like we have a completely unified way of thinking about it, Steinberg said. Theres a mystery there, not a paradox.

Some good guesses are wrong. Manzoni, on hearing about the superluminal tunneling issue in the early 2000s, worked with a colleague to redo the calculations. They thought they would see tunneling drop to subluminal speeds if they accounted for relativistic effects (where time slows down for fast-moving particles). To our surprise, it was possible to have superluminal tunneling there too, Manzoni said. In fact, the problem was even more drastic in relativistic quantum mechanics.

Researchers stress that superluminal tunneling is not a problem as long as it doesnt allow superluminal signaling. Its similar in this way to the spooky action at a distance that so bothered Einstein. Spooky action refers to the ability of far-apart particles to be entangled, so that a measurement of one instantly determines the properties of both. This instant connection between distant particles doesnt cause paradoxes because it cant be used to signal from one to the other.

Considering the amount of hand-wringing over spooky action at a distance, though, surprisingly little fuss has been made about superluminal tunneling. With tunneling, youre not dealing with two systems that are separate, whose states are linked in this spooky way, said Grace Field, who studies the tunneling-time issue at the University of Cambridge. Youre dealing with a single system thats traveling through space. In that way it almost seems weirder than entanglement.

In a paper published in the New Journal of Physics in September, Pollak and two colleagues argued that superluminal tunneling doesnt allow superluminal signaling for a statistical reason: Even though tunneling through an extremely thick barrier happens very fast, the chance of a tunneling event happening through such a barrier is extraordinarily low. A signaler would always prefer to send the signal through free space.

Why, though, couldnt you blast tons of particles at the ultra-thick barrier in the hopes that one will make it through superluminally? Wouldnt just one particle be enough to convey your message and break physics? Steinberg, who agrees with the statistical view of the situation, argues that a single tunneled particle cant convey information. A signal requires detail and structure, and any attempt to send a detailed signal will always be faster sent through the air than through an unreliable barrier.

Pollak said these questions are the subject of future study. I believe the experiments of Steinberg are going to be an impetus for more theory. Where that leads, I dont know.

The pondering will occur alongside more experiments, including the next on Steinbergs list. By localizing the magnetic field within different regions in the barrier, he and his team plan to probe not only how long the particle spends in the barrier, but where within the barrier it spends that time, he said. Theoretical calculations predict that the rubidium atoms spend most of their time near the barriers entrance and exit, but very little time in the middle. Its kind of surprising and not intuitive at all, Ramos said.

By probing the average experience of many tunneling particles, the researchers are painting a more vivid picture of what goes on inside the mountain than the pioneers of quantum mechanics ever expected a century ago. In Steinbergs view, the developments drive home the point that despite quantum mechanics strange reputation, when you see where a particle ends up, that does give you more information about what it was doing before.

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A New Timekeeping Theory Reconciles Einstein’s Relativity and Quantum Clocks – Science Times

One property of quantum mechanics is superposition, which explains how a system could be in multiple states at the same time until the instant it is observed or measured. A theoretical study suggests that this phenomenon affects high-precision clocks.

A team from Dartmouth College, Saint Anselm College, and Santa Clara University has conducted an inquiry on superposition and how it creates a correction in atomic clocks called "quantum time dilation." Their study, published in the journal Nature Communications on Friday, October 23, might reconcile Albert Einstein's predictions from the theory of relativity with new quantum effects beyond his theory about the properties of time.

(Photo: Ciacho5 via Wikimedia Commons)National Laboratory of Atomic, Molecular, and Optical Physics in Nicolaus Copernicus University in Toru (Poland). Part of the optical atomic clock.

"Whenever we have developed better clocks, we've learned something new about the world," shared Alexander Smith, who led the research as a junior fellow in Dartmouth's Society of Fellows. Smith also serves as an adjunct assistant professor at Dartmouth, as well as an assistant professor of physics with Saint Anselm College. He explains quantum time dilation as a consequence of both Einstein's relativity and quantum mechanics, offering a unique opportunity to examine physics at the intersection of these two "physics."

Albert Einstein is perhaps best known for his "theory of relativity," which is actually a combination of two interrelated theories - special and general relativity. These theories largely revolutionized classical physics and the theory of mechanics most defined by the works of Isaac Newton. Among its main propositions include spacetime as an entity made of both time and space. One of his experiments illustrated the time dilation - that a clock's time depends on the speed of its movement, making it relative. As it moves faster, the rate of its ticking starts to decrease. This largely differentiates from the linear and absolute nature of time proposed by Newton.

RELATED: 30 Things You Didn't Know About Einstein

On the other hand, quantum mechanics attempts to characterize the behavior of matter and energy at atomic and subatomic scales. It attempts to explain phenomena that are either not covered, or directly in contrast, with predictions from classical physics. While relativity remains mostly classical, mainly because it maintains causality - or the relationship between cause and effect - quantum mechanics does not. Under the context of quantum mechanics, a clock could move as if it simultaneously moves at two different speeds or a superposition.

To arrive at the quantum time dilation theory, researchers combined modern methods derived from works in quantum information science together with a work from the 1980s, suggesting how time might be characterized by a quantum theory of gravity.

"Physicists have sought to accommodate the dynamical nature of time in quantum theory for decades," explained Mehdi Ahmadi, co-author of the study and a lecturer with Santa Clara University. In their work, they predicted possible corrections to relativistic time dilation coming from the fact that clocks used to observe this behavior are in the context of quantum mechanics.

RELATED: New Measurement Technology Paves Way For Nuclear Clocks

The clock they refer to in their model does not work by mechanical parts or oscillators used in conventional timekeeping devices. If an atom exhibits superposition, moving at different velocities simultaneously, its lifetime will change - either increasing or decreasing - depending on the nature of the superimposed system relative to a reference atom at a defined speed.

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Could Schrdingers cat exist in real life? We propose an experiment to find out – Scroll.in

Have you ever been in more than one place at the same time? If you are much bigger than an atom, the answer will be no.

But atoms and particles are governed by the rules of quantum mechanics, in which several different possible situations can coexist at once. Quantum systems are ruled by what is called a wave function: a mathematical object that describes the probabilities of these different possible situations.

And these different possibilities can coexist in the wave function as what is called a superposition of different states. For example, a particle existing in several different places at once is what we call spatial superposition.

It is only when a measurement is carried out that the wave function collapses and the system ends up in one definite state.

Generally, quantum mechanics applies to the tiny world of atoms and particles. The jury is still out on what it means for large-scale objects.

In our research, published in Optica, we propose an experiment that may resolve this thorny question once and for all.

In the 1930s, Austrian physicist Erwin Schrdinger came up with his famous thought experiment about a cat in a box which, according to quantum mechanics, could be alive and dead at the same time.

In it, a cat is placed in a sealed box in which a random quantum event has a 5050 chance of killing it. Until the box is opened and the cat is observed, the cat is both dead and alive at the same time.

In other words, the cat exists as a wave function (with multiple possibilities) before it is observed. When it is observed, it becomes a definite object.

After much debate, the scientific community at the time reached a consensus with the Copenhagen interpretation. This basically says quantum mechanics can only apply to atoms and molecules, but cannot describe much larger objects.

Turns out they were wrong.

In the past two decades or so, physicists have created quantum states in objects made of trillions of atoms large enough to be seen with the naked eye. Although, this has not yet included spatial superposition.

But how does the wave function become a real object? This is what physicists call the quantum measurement problem. It has puzzled scientists and philosophers for about a century.

If there is a mechanism that removes the potential for quantum superposition from large-scale objects, it would require somehow disturbing the wave function and this would create heat.

If such heat is found, this implies large-scale quantum superposition is impossible. If such heat is ruled out, then its likely nature doesnt mind being quantum at any size.

If the latter is the case, with advancing technology we could put large objects, maybe even sentient beings, into quantum states.

Physicists do not know what a mechanism preventing large-scale quantum superpositions would look like. According to some, it is an unknown cosmological field. Others suspect gravity could have something to do with it.

This years Nobel Prize winner for physics, Roger Penrose, thinks it could be a consequence of living beings consciousness.

Over the past decade or so, physicists have been feverishly seeking a trace amount of heat which would indicate a disturbance in the wave function.

To find this out, we would need a method that can suppress (as perfectly as is possible) all other sources of excess heat that may get in the way of an accurate measurement. We would also need to keep an effect called quantum backaction in check, in which the act of observing itself creates heat.

In our research, we have formulated such an experiment, which could reveal whether spatial superposition is be possible for large-scale objects. The best experiments thus far have not been able to achieve this.

Our experiment would use resonators at much higher frequencies than have been used. This would remove the issue of any heat from the fridge itself.

As was the case in previous experiments, we would need to use a fridge at 0.01 degrees kelvin above absolute zero. (Absoloute zero is the lowest temperature theoretically possible).

With this combination of very low temperatures and very high frequencies, vibrations in the resonators undergo a process called Bose condensation.

You can picture this as the resonator becoming so solidly frozen that heat from the fridge cant wiggle it, not even a bit.

We would also use a different measurement strategy that doesnt look at the resonators movement at all, but rather the amount of energy it has. This method would strongly suppress backaction heat, too.

Single particles of light would enter the resonator and bounce back and forth a few million times, absorbing any excess energy. They would eventually leave the resonator, carrying the excess energy away.

By measuring the energy of the light particles coming out, we could determine if there was heat in the resonator.

If heat was present, this would indicate an unknown source (which we didnt control for) had disturbed the wave function. And this would mean its impossible for superposition to happen at a large scale.

The experiment we propose is challenging. It is not the kind of thing you can casually set up on a Sunday afternoon. It may take years of development, millions of dollars and a whole bunch of skilled experimental physicists.

Nonetheless, it could answer one of the most fascinating questions about our reality: is everything quantum? And so, we certainly think it is worth the effort.

As for putting a human, or cat, into quantum superposition there is really no way for us to know how this would effect that being.

Luckily, this is a question we do not have to think about, for now.

Stefan Forstner is a Postdoctoral Research Fellow at the The University of Queensland.

This article first appeared on The Conversation.

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Province gives $11.8M to U of C for quantum research, other projects – Calgary Herald

The province said growth in the quantum technologies sector would help attract talent to the province, create long-term jobs, and help commercialize new technologies in areas like molecular chemistry, large-scale biological research, geological exploration, space technology and quantum satellite communications.

Diversifying our economy has never been more important, Schweitzer said.

Thats why we are investing in the U of Cs quantum technology project. Establishing Alberta as a leader in quantum technologies will give a competitive boost to our economy and create new jobs today and for the future.

Another $3.9 million will be dedicated for research on antimicrobial resistance, which is when bacteria or viruses stop responding as effectively to treatment. The research will support infection prevention and control strategies.

The other $4.9 million in funding, through the Research Capacity Program, will support U of CsSMILE-UVI satellite project.

The province said this funding would contribute to the international space mission. It would also fund research to study how space radiation impacts the upper atmosphere, industrial infrastructure, and technology in applications like enhanced GPS and satellite imaging in oil and gas mining.

That research is just critical for us in our diversification efforts, said Schweitzer.

So many of us can rattle off names of oil and gas companies, but many of us, were just starting to scratch the surface on our potential here when it comes to these emerging companies.

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Post-doctoral Fellow, Department of Physics job with THE UNIVERSITY OF HONG KONG | 230760 – Times Higher Education (THE)

Work type:Full-timeDepartment:Department of Physics (25600)Categories:Academic-related Staff, Research Support Staff

Applications are invited for appointment asPost-doctoral Fellow in the Department of Physics(Ref.: 502419) to commence as soon as possible for one year, with the possibility of renewal subject to satisfactory performance.

Applicants should possess a Ph.D. degree in Physics or equivalent, and be able to demonstrate a strong research track record including refereed publications in top journals.They should have excellent communication skills, interpersonal skills and research leadership, the ability to work independently and in a team, and supervise Ph.D. students. Applicants with experience in multi-wavelength data analysis from radio to gamma rays (e.g. Chandra, XMM, Swift, AstroSat, HXMT, FAST, GMRT), space-astronomy missions and large ground based facilities in terms of winning telescope time, and publishing related papers as well as expertise in gamma-ray astronomy, both with ground-based (e.g. MAGIC, HAWC) and space-based (e.g. Fermi-LAT) instruments would have an advantage. The appointee will conduct research in collaboration with the Laboratory for Space Research (LSR). He/She will work with Dr. Pablo Saz Parkinson, Dr. Stephen C.Y. Ng and other members of the Department and LSR to pursue research in areas primarily related but not necessarily limited to neutron stars, pulsar wind nebulae, supernova remnants, gravitational waves, searches for electromagnetic counterparts of gravitational wave events, multi-wavelength, radio, X-ray, and gamma-ray data analysis.Enquiries about the post should be sent to Dr. Saz Parkinson atpablosp@hku.hk.

The Department of Physics is committed to excellence in teaching and research.There are five major areas of research in the Department, including Astronomy and Astrophysics, Atomic, Optical and Quantum Physics Group, Experimental Condensed Matter and Material Science Group, Theoretical and Computational Condensed Matter Group, and the Experimental Nuclear and Particle Physics Group.LSR is a multidisciplinary research group under the Faculty of Science at the University of Hong Kong. Information about the Department of Physicsand LSRcan be obtained athttps://www.physics.hku.hkandhttps://www.lsr.hku.hkrespectively.

A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. At current rates, salaries tax does not exceed 15% of gross income.

The University only accepts online application for the above post. Applicants should apply online and upload a cover letter, an up-to-date C.V., a detailed publication list and a research proposal.Review of applications will commence as soon as possible and continue untilDecember 31, 2020, or until the post is filled, whichever is earlier.

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Physicists clock the fastest possible speed of sound – Live Science

Scientists have discovered the fastest possible speed of sound, a zippy 22 miles (36 kilometers) per second.

Sound waves move at different speeds in solids, liquids and gases, and within those states of matter for instance, they travel faster in warmer liquids compared with colder ones. Physicist Kostya Trachenko of Queen Mary University of London and his colleagues wanted to figure out the upper limits of how fast sound could travel.

This exercise was largely theoretical: The researchers found that the answer, which is about twice as fast as sound moves through solid diamond, depends on some fundamental numbers in the universe. The first is the fine structure constant, which is a number that describes the electromagnetic force that holds together elementary particles such as electrons and protons. (It happens to be approximately 1/137.) The second is the proton-to-electron mass ratio of a material, which, as it sounds, is the ratio of mass from protons and mass from electrons within the atomic structure of the material.

Related: In photos: Large numbers that define the universe

It's not possible to test this theoretical top speed in the real world, because the math predicts that sound moves at its top speed in the lowest-mass atoms. The lowest-mass atom is hydrogen, but hydrogen isn't solid unless it's under super-duper pressure that's a million times stronger than that of Earth's atmosphere. That might happen at the core of a gas giant like Jupiter, but it doesn't happen anywhere nearby where scientific testing is possible.

So instead, Trachenko and his colleagues turned to quantum mechanics and math to calculate what would happen to sound zipping through a solid atom of hydrogen. They found that sound could travel close to the theoretical limit of 79,200 mph (127,460 km/h), confirming their initial calculations. In contrast, the speed of sound in air is roughly 767 mph (1,235 km/h).

The movement of sound in such extreme and specific environments may seem unimportant, but because sound waves are traveling vibrations of molecules, the speed of sound is related to many other properties of materials, such as the ability to resist stress, study co-author Chris Pickard, a materials scientist at the University of Cambridge, said in a statement. Thus, understanding the fundamentals of sound could help illuminate other fundamental properties of materials in extreme circumstances, Trachenko added in the statement.

For instance, previous research has suggested that solid atomic hydrogen could be a superconductor. So knowing its fundamental properties could be important for future superconductivity research. Sound could also reveal more about the hot mix of quarks and gluons that made up the universe an instant after the Big Bang, and could be applied to the strange physics around the gravity wells that are black holes. (Other researchers have studied "sonic black holes" to gather insight into these cosmic objects.)

"We believe the findings of this study could have further scientific applications by helping us to find and understand limits of different properties, such as viscosity and thermal conductivity, relevant for high-temperature superconductivity, quark-gluon plasma, and even black hole physics," Trachenko said.

The researchers reported their findings Oct. 9 in the journal Science Advances.

Originally published on Live Science.

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