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Quantum Computing Breakthrough: Entanglement of Three Spin Qubits Achieved in Silicon – SciTechDaily

September 11, 2021 | Author: admin

Figure 1: False-colored scanning electron micrograph of the device. The purple and green structures represent the aluminum gates. Six RIKEN physicists succeeded in entangling three silicon-based spin qubits using the device. Credit: 2021 RIKEN Center for Emergent Matter Science

A three-qubit entangled state has been realized in a fully controllable array of spin qubits in silicon.

An all-RIKEN team has increased the number of silicon-based spin qubits that can be entangled from two to three, highlighting the potential of spin qubits for realizing multi-qubit quantum algorithms.

Quantum computers have the potential to leave conventional computers in the dust when performing certain types of calculations. They are based on quantum bits, or qubits, the quantum equivalent of the bits that conventional computers use.

Although less mature than some other qubit technologies, tiny blobs of silicon known as silicon quantum dots have several properties that make them highly attractive for realizing qubits. These include long coherence times, high-fidelity electrical control, high-temperature operation, and great potential for scalability. However, to usefully connect several silicon-based spin qubits, it is crucial to be able to entangle more than two qubits, an achievement that had evaded physicists until now.

Seigo Tarucha (second from right) and his co-workers have realized a three-qubit entangled state in a fully controllable array of spin qubits in silicon. Credit: 2021 RIKEN

Seigo Tarucha and five colleagues, all at the RIKEN Center for Emergent Matter Science, have now initialized and measured a three-qubit array in silicon with high fidelity (the probability that a qubit is in the expected state). They also combined the three entangled qubits in a single device.

This demonstration is a first step toward extending the capabilities of quantum systems based on spin qubits. Two-qubit operation is good enough to perform fundamental logical calculations, explains Tarucha. But a three-qubit system is the minimum unit for scaling up and implementing error correction.

The teams device consisted of a triple quantum dot on a silicon/silicongermanium heterostructure and is controlled through aluminum gates. Each quantum dot can host one electron, whose spin-up and spin-down states encode a qubit. An on-chip magnet generates a magnetic-field gradient that separates the resonance frequencies of the three qubits, so that they can be individually addressed.

The researchers first entangled two of the qubits by implementing a two-qubit gatea small quantum circuit that constitutes the building block of quantum-computing devices. They then realized three-qubit entanglement by combining the third qubit and the gate. The resulting three-qubit state had a remarkably high state fidelity of 88%, and was in an entangled state that could be used for error correction.

This demonstration is just the beginning of an ambitious course of research leading to a large-scale quantum computer. We plan to demonstrate primitive error correction using the three-qubit device and to fabricate devices with ten or more qubits, says Tarucha. We then plan to develop 50 to 100 qubits and implement more sophisticated error-correction protocols, paving the way to a large-scale quantum computer within a decade.

Reference: Quantum tomography of an entangled three-qubit state in silicon by Kenta Takeda, Akito Noiri, Takashi Nakajima, Jun Yoneda, Takashi Kobayashi and Seigo Tarucha, 7 June 2021, Nature Nanotechnology.DOI: 10.1038/s41565-021-00925-0

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IonQ Scores Quantum Computing Deal With University Of Maryland And Announces Its Tripling 2021 Bookings – Forbes

September 11, 2021 | Author: admin

IONQ

The relationship between higher education and the tech companies I cover as an analyst is close and mutually beneficial. The private sector often provides technology resources, capital, expertise, and knowledge of industry needs and challenges to research institutions, the sandbox of tomorrows tech innovators and leaders.

Quantum technology is at an exciting crossroads now, where it is beginning to migrate out of the realm of research and academia to seek out early commercialization opportunities. Much quicker and more powerful than traditional computing, quantum technology promises to revolutionize everything from medicine to climate science. It could very well change the world as we know it within our lifetimes.

So naturally, I immediately perked up at this weeks news of the University of Maryland (UMD)s $20 million, 3-year investment in quantum computing, the majority of which will go to IonQ, to co-develop a groundbreaking quantum laboratory at the College Park campus of the University.

The National Quantum Lab at Maryland, or Q-Lab for short, looks to be an ambitious project that could pay significant dividends in the efforts to advance and commercialize quantum technology. While I had initially viewed the word investment as a balance sheet impact, versus revenue, IonQ announced today it has tripled its bookings forecast for 2021, suggesting the UMD deal is very much a revenue event. To be clear, the tripling of bookings isnt only UMD, but includes other customers, too.

Lets look at the players, the deal and what it includes.

Something is happening in College Park

Based in College Park, MD, IonQ was founded in 2015 by Christopher Monroe, a professor at the University of Maryland and Jungsang Kim, a professor at Duke University (a great example of higher eds interconnectivity with the private sector). Built on its founders 25 years of academic quantum research, IonQs bread and butter is a subcategory of quantum computing known as trapped ion quantum computing. While a full explanation of trapped ion computing is well beyond the scope of this blog and more in Moor Insights & Strategys Quantum principal analyst Paul Smith-Goodson, know that it is one of the more promising proposed approaches to achieving a large-scale quantum computer.

UMD College Park, for its part, is known as a leading public research universityparticularly in the field of quantum computing. Marylands flagship university has invested approximately $300 million into the field of quantum science over the last 30-plus years and currently hosts over 200 quantum researchers and seven quantum facilities. The campus is already home to the Quantum Startup Foundry and the Mid-Atlantic Quantum Alliance, two organizations committed to advancing the nascent quantum ecosystem.

Q-lab promises to be the worlds first on-campus, commercial-grade quantum user facility. The stated goal of the Q-lab is to significantly democratize access to IonQs state-of-the-art technology, giving students, faculty and researchers hands-on experience with technology such as the companys 32-qubit trapped-ion quantum computer (the most performant quantum computer in operation). Lab users also stand to benefit from the opportunity to collaborate with IonQs quantum scientists and engineering experts, who will co-locate within the lab (which will be located next door to IonQs College Park headquarters).

IonQs market momentum

The announcement of the Q-lab comes along with a flurry of other exciting activity at IonQ. Last month, the company demonstrated its 4X16 Reconfigurable Multicore Quantum Architecture (RMQA), an industry first. IonQ says this breakthrough could enable it to boost its qubit count up to the triple digits on a single chip, also laying the groundwork for theoretical future Parallel Multicore Quantum Processing Units.

Another significant recent announcement from IonQ was that it will now offer its quantum systems on Google Cloud (the first quantum player to do so). For that matter, it is now the only quantum provider available via all three of the major cloud platforms (Microsoft Azure, Google Cloud and AWS) and through direct API access. I see this as another crucial way in which IonQ is democratizing access to quantum computers.

Additionally, the company recently announced a strategic integration with IBM Qiskit. This quantum software development kit will make it easier for quantum programmers to get up and running with IonQs systems. Rounding out the new developments was the announcement of a partnership with SoftBank Investment Advisors to facilitate enterprise deployment of quantum solutions worldwide.

All of these developments, including the Q-lab, considered, its no wonder today IonQ recently tripled its expectations for its 2021 contract bookings, from an original goal of $5 million to an ambitious $15 million. To be clear, the tripling of bookings isnt only UMD, but includes other customers, too. All of this must look good to investors, who will soon get a crack at the Quantum company when it goes public via a special purpose acquisition company (SPAC) later this month (a merger with dMY Technology Group, Inc) under $DMYI.

Wrapping up

With both a preeminent quantum research school and a private sector quantum leader located in College Park, the Maryland city could soon be a (if not the) veritable epicenter of quantum technology in the United States. The Q-lab has the potential to produce the next generation of quantum innovators, generate new quantum IP and draw even more quantum startups and scientific and engineering talent to College Park.

Were likely a bit away from recognizing quantum computings full potential as a paradigm shift. However, IonQs moves this summer demonstrate that the technology is entering a new, exciting phase of commercialization, which should only accelerate the process of innovation at research locations such as the new Q-lab. Ill be watching with interest.

From the business point of view, it is great to see IonQ drive orders and subsequently revenue. I hear from some of the uninformed that theres no money in quantum. I think the doubters are wrong and when we all get a closer look at IonQs financials, I believe there will be some surprises.

Moor Insights & Strategy, like all research and analyst firms, provides or has provided paid research, analysis, advising, or consulting to many high-tech companies in the industry, including 8x8, Advanced Micro Devices, Amazon, Applied Micro, ARM, Aruba Networks, AT&T, AWS, A-10 Strategies,Bitfusion, Blaize, Box, Broadcom, Calix, Cisco Systems, Clear Software, Cloudera,Clumio, Cognitive Systems, CompuCom, Dell, Dell EMC, Dell Technologies, Diablo Technologies, Digital Optics,Dreamchain, Echelon, Ericsson, Extreme Networks, Flex, Foxconn, Frame (now VMware), Fujitsu, Gen Z Consortium, Glue Networks, GlobalFoundries, Google (Nest-Revolve), Google Cloud, HP Inc., Hewlett Packard Enterprise, Honeywell, Huawei Technologies, IBM, Ion VR,IonQ, Inseego, Infosys, Intel, Interdigital, Jabil Circuit, Konica Minolta, Lattice Semiconductor, Lenovo, Linux Foundation,MapBox, Marvell,Mavenir, Marseille Inc, Mayfair Equity, Meraki (Cisco),Mesophere, Microsoft, Mojo Networks, National Instruments, NetApp, Nightwatch, NOKIA (Alcatel-Lucent), Nortek,Novumind, NVIDIA, Nuvia, ON Semiconductor, ONUG, OpenStack Foundation, Oracle, Poly, Panasas,Peraso, Pexip, Pixelworks, Plume Design, Poly,Portworx, Pure Storage, Qualcomm, Rackspace, Rambus,RayvoltE-Bikes, Red Hat,Residio, Samsung Electronics, SAP, SAS, Scale Computing, Schneider Electric, Silver Peak, SONY,Springpath, Spirent, Splunk, Sprint, Stratus Technologies, Symantec, Synaptics, Syniverse, Synopsys, Tanium, TE Connectivity,TensTorrent,TobiiTechnology, T-Mobile, Twitter, Unity Technologies, UiPath, Verizon Communications,Vidyo, VMware, Wave Computing,Wellsmith, Xilinx, Zebra,Zededa, and Zoho which may be cited in blogs and research.

Patrick was ranked the #1 analyst out of 8,000 in the ARInsights Power 100 rankings and the #1 most cited analyst as ranked by Apollo Research. Patrick founded Moor

Patrick was ranked the #1 analyst out of 8,000 in the ARInsights Power 100 rankings and the #1 most cited analyst as ranked by Apollo Research. Patrick founded Moor Insights & Strategy based on in his real-world world technology experiences with the understanding of what he wasnt getting from analysts and consultants. Moorhead is also a contributor for both Forbes, CIO, and the Next Platform. He runs MI&S but is a broad-based analyst covering a wide variety of topics including the software-defined datacenter and the Internet of Things (IoT), and Patrick is a deep expert in client computing and semiconductors. He has nearly 30 years of experience including 15 years as an executive at high tech companies leading strategy, product management, product marketing, and corporate marketing, including three industry board appointments.Before Patrick started the firm, he spent over 20 years as a high-tech strategy, product, and marketing executive who has addressed the personal computer, mobile, graphics, and server ecosystems. Unlike other analyst firms, Moorhead held executive positions leading strategy, marketing, and product groups. He is grounded in reality as he has led the planning and execution and had to live with the outcomes.Moorhead also has significant board experience. He served as an executive board member of the Consumer Electronics Association (CEA), the American Electronics Association (AEA) and chaired the board of the St. Davids Medical Center for five years, designated by Thomson Reuters as one of the 100 Top Hospitals in America.

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IonQ Scores Quantum Computing Deal With University Of Maryland And Announces Its Tripling 2021 Bookings - Forbes

Quantum Computing Theorist Vojtech Vlcek Receives Research Award from DOE – HPCwire

September 11, 2021 | Author: admin

Sept. 8, 2021 How can one predict a materials behavior on the molecular and atomic levels, at the shortest timescales? Whats the best way to design materials to make use of their quantum properties for electronics and information science?

These broad, difficult questions are the type of inquiries that UC Santa Barbara theorist Vojtech Vlcek and his lab will investigate as part of a select group of scientists chosen by the U.S. Department of Energy (DOE) to develop new operating frameworks for some of the worlds most powerful computers. Vlcek will be leading one of five DOE-funded projects to the tune of $28 million overall that will focus on computational methods, algorithms and software to further chemical and materials research, specifically for simulating quantum phenomena and chemical reactions.

Its really exciting, said Vlcek, an assistant professor in the Department of Chemistry and Biochemistry, and one of, if not the youngest researcher to lead such a major endeavor. We believe we will be for the first time able to not only really describe realistic systems, but also provide this whole framework for ultrafast and driven phenomena that will actually set the scene for future developments.

I congratulate Vojtech Vlcek on being selected for this prestigious grant, said Pierre Wiltzius, dean of mathematical, physical and life sciences at UC Santa Barbara. Its especially impressive and unusual for an assistant professor to lead this type of complex, multi-institution research project. Vojtech is in a league if his own, and I look forward to future insights that will come from the teams discoveries.

A Multilayer Framework

As part of the DOEs efforts toward clean energy technologies, scientists across the nation study matter and energy at their most fundamental levels. The goal is to design and discover new materials and processes that can generate, manipulate and store energy techniques that have applications in a wide variety of areas, including energy, environment and national security.

Uncovering these potentially beneficial phenomena and connecting them to the atoms they come from is hard work work that could be assisted with the use of the supercomputers that are housed in the DOEs national laboratories.

DOEs national labs are home to some of the worlds fastest supercomputers, and with more advanced software programs we can fully harness the power of these supercomputers to make breakthrough discoveries and solve the worlds hardest to crack problems, said U.S. Secretary of Energy Jennifer M. Granholm. These investments will help sustain U.S. leadership in science, accelerate basic energy and advance solutions to the nations clean energy priorities.

Among these hard-to-crack problems is the issue of many interacting particles. Interactions are more easily predicted in a system of a few atoms or molecules, or in very regular, periodic systems. But add more bodies or use more elaborate systems and the complexity skyrockets because the characteristics and behaviors of and interactions between every particle have to be accounted for. In some cases, their collective behaviors can produce interesting phenomena that cant be predicted from the behavior of individual particles.

People have been working with small molecules, or characterizing perfectly periodic systems, or looking at just a few atoms, Vlcek said, and more or less extending their dynamics to try to approximate the behaviors of larger, more complex systems.

This is not necessarily realistic, he continued. We want to simulate surfaces. We want to simulate systems that have large-scale periodicity. And in these cases you need to consider systems that are not on nanometer scales, but on the scale of thousands of atoms.

Add to that complexity non-equilibrium processes, which are the focus of Vlceks particular project. He will be leading an effort that involves an additional seven co-principal investigators from UC Berkeley, UCLA, Rutgers University, University of Michigan and Lawrence Berkeley National Laboratory.

Essentially these systems are driven by some strong external stimuli, like from lasers or other driving fields, he said. These processes are relevant for many applications, such as electronics and quantum information sciences.

The goal, according to Vlcek, is to develop algorithms and software based on a multilayer framework with successive layers of embedding theories to capture non-equilibrium dynamics. The team, in partnership with two DOE-supported Scientific Discovery through Advanced Computing (SciDAC) Institutes at Lawrence Berkeley and Argonne National Laboratories, begins with the most fundamental assumptions of quantum theory. That foundation is followed by layers that incorporate novel numerical techniques and neural network approaches to take advantage of the intensive computing the supercomputers can perform.

We still stay with the first principles approach, but were making successive levels of approximations, Vlcek explained. And with this approach well be able to treat extremely large systems. Among the many advantages of the methodology will be the ability for the first time to describe experimental systems in real-time, as they are driven by external forces.

The outcome of the project will be bigger than the sum of its parts, said Vlcek. Not only will it provide a method of studying and designing a wide variety of present and future novel materials, the algorithms are also meant for future supercomputers.

One interesting outcome will be that we will also try to connect to future computational platforms, which could possibly be quantum computers, he said. So this framework will actually allow future research on present and future novel materials as well as new theoretical research.

Source: UC Santa Barbara

UMD, IonQ join forces to create the nation’s first quantum computing lab in College Park – The Diamondback

September 11, 2021 | Author: admin

The University of Maryland and IonQ, a College Park-based quantum computing company, announced Wednesday that they will join forces to develop a facility that will give students, faculty, staff and researchers access to a commercial-grade quantum computer.

The new facility, which will be known as the National Quantum Lab at Maryland or Q-Lab for short is the product of a nearly $20 million investment from this university. As the nations first facility of its kind, it will also provide training related to IonQs hardware and allow visitors to collaborate with the companys scientists and engineers, according to a news release.

No other university in the United States is able to provide students and researchers this level of hands-on contact with commercial-grade quantum computing technology and insights from experts working in this emerging field, university President Darryll Pines said in the news release.

The Q-Lab will be located in the Discovery District next to IonQs headquarters by the College Park Airport, the news release stated.

Quantum computing attempts to evolve computer technology, striving to create a machine that can solve more problems at a faster rate.

[Whats new, whats coming, whats moving: The business scene in College Park]

Around the time IonQ announced its plans to go public earlier this year, Pines explained that classical computing uses a stream of electrical pulses called bits, which represent 1s and 0s, to store information. However, on the quantum scale, subatomic particles known as qubits are used to store information, greatly increasing computing speed.

Most importantly, we wanted to put our scientists at the cutting edge of quantum computers because we know that we already use supercomputers, Pines said Wednesday. But why not use the best computers that are right in our backyard?

Recent advancements in quantum computing also support research in areas such as biology, medicine, climate science and materials development, the release noted, adding that the creation of the Q-Lab may also attract additional entrepreneurs and startups to College Park.

We could not be more proud of IonQs success and we are excited to establish this strategic partnership, further solidifying UMD and the surrounding region as the Quantum Capital of the world, Pines added.

The development of the Q-Lab builds upon the universitys $300 million investment in quantum science and more than 30-year history of advancements in the field, according to the news release. The university also currently houses more than 200 researchers and seven centers specializing in quantum-related work.

We are very proud that the nations leading center of academic excellence in quantum research chose IonQs hardware for this trailblazing partnership, said Peter Chapman, the president and CEO of IonQ.

[UMD students allege poor living conditions, maintenance at University Club apartments]

Chris Monroe, a professor in this universitys physics department, and Jungsang Kim co-founded IonQ, which is set to become the first publicly traded commercialized quantum computing company. The company is estimated to go public with a valuation of nearly $2 billion.

The company recently became the first quantum computer supplier whose products are available on all major cloud services providers such as Google Cloud, Microsoft Azure and Amazon Web Services, according to the release.

Monroe and Kim also joined the White Houses National Quantum Initiative Advisory Committee in an effort to accelerate the development of the national strategic technological imperative, the news release stated.

UMD has been at the vanguard of this field since quantum computing was in its infancy, and has been a true partner to IonQ as we step out of the lab and into commerce, industry, and the public markets, Chapman said in the news release.

Senior staff writer Clara Niel contributed to this report.

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UMD, IonQ join forces to create the nation's first quantum computing lab in College Park - The Diamondback

Quantum computing breakthrough achieved, road to the future begins now – TweakTown

September 11, 2021 | Author: admin

A team of researchers has achieved what is being described as a "breakthrough" in quantum computing.

VIEW GALLERY - 2 IMAGES

The achievement comes from a team of researchers at the RIKEN Center for Emergent Matter Science, who have been able to entangle a three-qubit array in silicon with high accuracy of predicting the state the qubit is in. For those that don't know, instead of using bits to make calculations and perform tasks like a typical computer does, quantum computers use quantum bits, or qubits.

The device the researchers created used three very small blobs of silicon called quantum dots, and each of these dots can hold one electron. The direction of the spin of the electron encodes the qubit. With that in mind, it should be noted that a "Two-qubit operation is good enough to perform fundamental logical calculations. But a three-qubit system is the minimum unit for scaling up and implementing error correction", explains Tarucha.

False-colored scanning electron micrograph of the device. The purple and green structures represent the aluminum gates, per scitechdaily.com.

After successfully entangling two qubits, the team of researchers introduced the third qubit and was able to predict its state with a high fidelity of 88%. Tarucha added, "We plan to demonstrate primitive error correction using the three-qubit device and to fabricate devices with ten or more qubits. We then plan to develop 50 to 100 qubits and implement more sophisticated error-correction protocols, paving the way to a large-scale quantum computer within a decade."

For more information on this story, check out this link here.

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Quantum computing breakthrough achieved, road to the future begins now - TweakTown

Governor Lamont Announces Public-Private Initiative to Address Homelessness and Chronic Health Problems – CT.gov

September 8, 2021 | Author: admin

Press Releases

09/08/2021

(HARTFORD, CT) Governor Ned Lamont today announced that his administration has received federal approval to combine Medicaid health coverage with a range of housing services for Connecticut residents struggling with homelessness and chronic health issues.

The CHESS initiative short for Connecticut Housing Engagement and Support Services will pool the efforts of state agencies and nonprofit partners to bring coordinated healthcare and housing support to individuals with mental health, substance use, and other serious health conditions.

For the first time, the resources of Connecticuts nationally-recognized Medicaid program will reinforce our ongoing initiatives in the areas of housing and homelessness prevention, said Governor Lamont. Also known as the HUSKY Health program, Medicaid will add a crucial dimension to our ability to not only stabilize a persons housing situation, but to really improve the quality of his or her health and life. The CHESS initiative also reflects my direction to find ways to best coordinate expertise and services across our health and human services agencies.

Connecticut Medicaids CHESS benefit is one of the first of its kind to receive federal approval, joining Arkansas, California, Minnesota, and North Dakota. It will combine the Coordinated Access Network and housing subsidy programs administered by the Connecticut Department of Housing; supportive housing programs administered by the Connecticut Department of Mental Health and Addition Services; and the Money Follows the Person program administered by the Connecticut Department of Social Services (the state agency administering Medicaid).

CHESS is aimed at managing the difficulties that are often part of homelessness, including access to health care and handling chronic health issues, with the overall goal of promoting health and well-being by coordinating targeted healthcare with housing.

Simply put, we know that housing instability and serious health issues are often related, said Department of Social Services Commissioner Deidre Gifford, who also serves as senior advisor to the governor for health and human services. The new Medicaid benefit offers a flexible package of services to help people find and maintain housing, and to coordinate medical and behavioral health services, chronic disease management and wellness education. With CHESS, our public-private partnership aims to reduce homelessness and unnecessary hospitalizations, while making lasting improvements in the lives of some of our most vulnerable residents. The COVID-19 pandemic has also taught us more about the close relationship between safe, stable housing and health.

Housing subsidies for CHESS enrollees, administered by the Department of Housing, will be prioritized for applicants who meet the Medicaid program requirements and are subject to separate eligibility requirements.

We are proud to participate in this collaborative effort, said Department of Housing Commissioner Seila Mosquera-Bruno. Our goal is to reduce and end homelessness in Connecticut. The CHESS program contributes additional resources to our homeless service system, allowing it to provide the necessary supportive services to vulnerable residents and to maintain stable housing in our communities.

Nonprofit supportive housing providers across Connecticut have a tremendous amount of knowledge and years of experience serving people with complex needs and long histories of housing instability, said Department of Mental Health and Addiction Services Acting Commissioner Nancy Navarretta. Im confident that the evidence-based supportive housing model that will be available to CHESS participants will contribute to our collaborative efforts to make homelessness rare, brief, and one time.

The recent federal approval of Connecticuts innovative CHESS Medicaid benefit will lay the groundwork for deeper engagement with our healthcare system partners in efforts to end homelessness in our state, said Sonya Jelks, Connecticut Director for the Corporation for Supportive Housing. This trailblazing approach, one of the first in the nation, will provide a new and sustainable source of funding for the critical support services that are key to successfully supporting persons who experience chronic homelessness. The Corporation for Supportive Housing is proud to have been a partner in developing and designing the CHESS approach and looks forward to continuing to collaborate to build on Connecticuts success with supportive housing linking services, including housing provisions and healthcare, to permanent housing solutions.

With federal approval to use Medicaid funding for CHESS, the Department of Social Services has opened applications at http://www.CTCHESSDSS.com. Application information is also available by calling 1-888-992-8637 or 2-1-1.

As a new benefit to be evaluated by the UConn Center on Aging, CHESS is currently estimated to serve 150 participants through next fiscal year. The joint state/federal initiative was designed by a collaborative of the Department of Social Services, the Department of Housing, the Department of Mental Health and Addiction Services, the Department of Developmental Services, the Connecticut Housing Finance Authority, the Corporation for Supportive Housing, the Partnership for Strong Communities, and the Connecticut Coalition to End Homelessness.

CHESS provides supportive housing benefits under Medicaid, coordinated with Medicaid services and non-Medicaid housing subsidies. Medicaid-covered housing engagement and support services include chronic disease management and wellness education, in addition to pre-tenancy supports (help with locating and securing housing); tenancy sustaining supports (help with maintaining successful tenancy); and non-emergency medical transportation. The CHESS staff will help participants apply for housing subsidy vouchers.

We are especially proud of the strong and enthusiastic partnership that is bringing the CHESS initiative forward, Commissioner Gifford said. Its built on leading-edge work in both state government and the private, nonprofit community as we focus on the so-called social determinants of health. In this case, the focus is on the vital area of housing and how lack of stability there relates to chronic disease and, alternatively, well-being.

The Connecticut Behavioral Health Partnership, through Beacon Health Options, will provide eligibility assessment and service authorization. Federal support is provided by the Center for Medicaid and CHIP Services, part of the Department of Health and Human Services Centers for Medicare and Medicaid Services.

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Governor Lamont Announces Public-Private Initiative to Address Homelessness and Chronic Health Problems - CT.gov

7 Days, 7 Good News: The chess prodigy, Tom Brady and cash for footballers – ISPO

September 8, 2021 | Author: admin

Lionel Messi wouldn't even lace up his football boots for this "small change", but for fans and fan projects it's a really warm windfall: German football's fan projects will continue to receive around 15 million euros a year. "The funding of the projects is secured until the end of 2022," says Sophia Gerschel, spokeswoman for the Federal Working Group of Fan Projects. The associations DFB and DFL together bear half, the federal and state governments the other half. The money is mainly used to pay for full-time fan work in professional football, but also in the lower leagues. Each club receives a maximum of 150,000 euros for fan work. The German Football Association actually wanted to make the funding dependent on the league - this would have meant that the fan scene would also have been punished for a sporting relegation of the players. This has now - for the time being - been averted.

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7 Days, 7 Good News: The chess prodigy, Tom Brady and cash for footballers - ISPO

AI Helps to Earlier Detect Brain Injury in Survivors of Cardiac Arrest – Polsky Center for Entrepreneurship and Innovation – Polsky Center for…

September 8, 2021 | Author: admin

Published on Tuesday, September 7, 2021

The AI system improves the prognosis of surviving patients with Hypoxic Ischemic Brain Injury (HIBI) after cardiac arrest by allowing and facilitating earlier treatment. (Image: iStock/monsitj)

University of Chicago researchers have developed a patent-pending technique using deep learning, a form of artificial intelligence (AI), to better assess hypoxic-ischemic brain injury in survivors of cardiac arrest.

Over the past three decades, Maryellen Giger, A.N. Pritzker Distinguished Service Professor of Radiology, has been conducting research on computer-aided diagnosis, including computer vision, machine learning, and deep learning, in the areas of breast cancer, lung cancer, prostate cancer, lupus, and bone diseases.

She also is a cofounder of Quantitative Insights, which started through the 2010 New Venture Challenge at the Polsky Center. The company produced QuantX, which in 2017 became the first FDA-cleared machine-learning-driven system to aid in cancer diagnosis (CADx). In 2019, it was named one of TIME magazines inventions of the year and was bought by Qlarity Imaging.

Backed by this wealth of knowledge, she is today applying her research to neuro-imaging in collaboration with Fernando Goldenberg, a professor of neurology and neurosurgery, as well as the co-director of the comprehensive stroke center and director of neuroscience critical care at UChicago Medicine. The research team is enhanced with collaborators Jordan Fuhrman, a PhD student in Gigers lab in the Committee on Medical Physics and the Department of Radiology, and Ali Mansour, an assistant professor of neurology and neurosurgery with expertise in advanced clinical neuroimaging and machine learning.

The goal of this multi-department research was to see if machine-learning could help clinicians at the hospital better assess hypoxic-ischemic brain injury (HIBI), which can occur when the brain does not receive enough oxygen during cardiac arrest. The extent of this damage depends on several variables, including the baseline characteristics of the brain and its vascular supply, duration of oxygen deprivation, and cessation of blood flow.

While the neurological injury that follows cardiac arrest is largely a function of HIBI, the process of determining a patients projected long-term neurological function is a multifaceted endeavor that involves multiple clinical and diagnostic tools. In addition to bedside clinical exam, head CT (HCT) is often the earliest and most readily available imaging tool, explained Goldenberg.

In their work, the researchers hypothesized that the progression of HIBI could be identified in scans completed on average within the first three hours after the heart resumes normal activity.

To test this, the team used machine learning, specifically, a deep transfer learning approach (which Fuhrman had been using to assess COVID-19 in thoracic CTs) to predict from the first normal-appearing HCT scan whether or not HIBI would progress. The deep learning technique, for which there is a patent-pending, automatically assessed the first HCT scan to identify the progression of HIBI.

This is important as currently there is no imaging-based method/analyses to identify early on whether or not a patient will exhibit HIBI, and while more data is needed to further confirm the efficacy of the AI-based method, the results to date are very promising, said Fuhrman.

The findings in patients first HCT may be too subtle to be picked up by the human eye, said Giger. However, a computer looking at the complete image may be able to determine between those patients who will progress and eventually show evidence of HIBI and those who will not.

According to the researchers, the AI system can help in the process of prognostication in survivors of cardiac arrest by identifying patients who may differentially benefit from early interventions a step along precision medicine in this patient population. If prospectively validated, it could also allow for the neuroprognostic process to start sooner than the current standard timeline, said Mansour. Additionally, the AI algorithm is expected to be easily integrated into various commercially available image analysis software packages that are already deployed in clinical settings.

//Polsky Patentedis a column highlighting research and inventions from University of Chicago faculty. For more information about available technologies,click here.

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AI Helps to Earlier Detect Brain Injury in Survivors of Cardiac Arrest - Polsky Center for Entrepreneurship and Innovation - Polsky Center for...

Mendix Puts Intelligent Solutions in the Hands of All Software Developers — ‘Business Events’ Introduced; AI and Machine Learning Strengthened and…

September 8, 2021 | Author: admin

BOSTON, Sept. 8, 2021 /PRNewswire/ --At Mendix World 2021, the largest virtual assembly of low-coders ever, Mendix, a Siemens business and global leader in low-code application development for the enterprise, today announced robust platform enhancements that will accelerate delivery of high-value solutions for the digital-first economy. The newly enhanced capabilities of the Mendix low-code platform empower all makers to orchestrate the next-wave of intelligent solutions for the enterprise by introducing 'business events,' substantive new investments in artificial intelligence for both makers and end users, and next-generation smart services and workflows.

"Mendix Makers are under continuous pressure to go faster. Even after adopting low-code to accelerate development, teams face increased expectations for software delivery," said Johan den Haan, chief technology officer. "The direction we are taking with the platform is to shift makers from always writing software from scratch to more easily finding and connecting to the data and components they need to assemble solutions."

Data Hub 2.0 adds business events as first-class citizens

A highlight of den Haan's Mendix World announcements was a significant set of enhancements to Data Hub, first introduced at last year's event as "low-code for integration." New functionality greatly expands the platform's ability to discover, create, and change data from any system or application. Enhanced data cataloging makes it easier to connect, filter, and utilize massive amounts of data from different platforms, data lakes, and data warehouses across the enterprise's landscape.

Another key capability den Haan announced was the introduction of business events. As searchable entities within its catalog, business events will be elevated into native, plug-and-play elements that can be used in Studio Pro within any application model. Adding business events enables Mendix developers to deliver applications more easily, particularly for use cases where end-user satisfaction is paramount, such as new customer onboarding, payment processing, and support ticketing.

"Business is event-driven by nature, with thousands of crucial, discrete events taking place on a daily basis," said den Haan. "A full view of all business events in the enterprise, coupled with the ability to manage and trigger event-driven applications, is a key ingredient in automating business processes in a truly intelligent way."

Mendix also announced a new connector framework for Data Hub which will offer a mechanism for easily connecting to both off-the-shelf and custom data sources throughout the enterprise. Key connectors highlighted by den Haan included data sources common across industries, such as Dropbox, Slack, Microsoft Sharepoint and Dynamics, Twilio, and Salesforce. Additionally, industry-specific connectivity for SAP and Siemens Teamcenter data sources was announced.

AI for development and AI for applications

Showcasing the Mendix low-code platform's pioneering ability to scale rapid application development, day two of Mendix World featured two key AI-related announcements. First, den Haan introduced the third bot in the Mendix Assist suite: Page Bot. The Page Bot guides software developers in building UI and UX, based on patterns learned from hundreds of millions of anonymized data points by Mendix developers. This newest addition to Mendix Assist (add link) will be available in Studio and Studio Pro, making real-time design and styling recommendations to develop compelling, consumer-grade UI experiences guided by best practices.

Page Bot joins a faster, enhanced version of Mendix Assist Logic Bot that provides next-step logic assistance for developers writing microflows, and Performance Bot that ensures applications follow architectural patterns that optimize for performance.

For organizations looking to incorporate custom machine learning models into their Mendix-developed apps, den Haan also announced the Mendix Machine Learning (ML) Kit. This is a key capability when business processes and end-user satisfaction rely on specialized machine learning models, such as ones that execute over a proprietary data set or key off a custom parameter.

With the ML Kit, Mendix is applying low-code's abstraction and automation to the often complex and cumbersome integration of AI models. Eschewing the typical complexities of REST services and APIs, the ML Kit supports drag-and-drop of machine learning models, with automatic translation and execution. Said den Haan, "Assembling purpose-built, relevant apps becomes easier for developers, and the applications themselves provide more value to the end users."

Smart AppServices lead a new wave of intelligent capabilities

The Mendix commitment to innovation centered on intelligent automation extends beyond simply platform capabilities. As part of its significant investments in the ecosystem, Mendix also announced a new suite of Smart AppServices that provide developers a head start in assembling complex applications.

These services deliver an extremely strong foundation for digitalizing business workflows, with capabilities centered around document data capture (e.g., processing invoices and receipts), cognitive services (e.g., language and sentiment detection), and messaging (e.g., email and Microsoft Teams). AppServices are flexible and accessible capabilities that can be used to extend existing applications, enhance solutions acquired through the Mendix Marketplace, or as services that are deployed with just a thin application layer.

To bolster an organization's ability to deliver intelligent automation, Mendix also announced new workflow templates for business processes that are designed to be used with the Mendix Workflow Editor as part of any Mendix application. With workflows for common business activities across HR, finance, and marketing, these templates are designed to further empower business users to participate in the development of software that enables them to do their jobs in this digital-first environment.

Den Haan commented on the value of these new capabilities to deliver intelligent automation: "The powerful enhancements made to the Mendix low-code platform speed and simplify the process of building intelligent solutions for organizations, while easing the transition to what analysts describe as the 'composable enterprise.' Simply put, makers are empowered to accelerate their solution development by building on a foundation of best practices available and ready to be used in their apps."

It's Not Too Late to Assemble at Mendix World

Makers from every corner of the enterprise who are dedicated to creating the digital future of their organizations still have time to join dozens of practical and inspiring sessions. For more information about Mendix World and to join now, please visitMendix World 2021 Registration.

About Mendix World

Mendix World 2021 is the largest worldwide gathering of low-code experts, technology pioneers, business leaders, industry analysts, and software developers who share their first-hand experiences tackling enterprise digitalization using low-code software development. Thousands of individuals interested in a wide range of digital solutions across multiple economic sectors will be able to choose between live Q&As, learning tracks, demonstrations, and small-group gatherings of solution architects, business strategists, and IT experts attending this year's three-day-long virtual conference.

Connect with Mendix

Follow @Mendix on TwitterConnect with Mendix on LinkedIn

About Mendix

Mendix, a Siemens business and the global leader in enterprise low-code, is fundamentally reinventing the way applications are built in the digital enterprise. With the Mendix platform, enterprises can 'Make with More,' by broadening an enterprise's development capability to conquer the software development bottleneck; 'Make it Smart,' by making apps with rich native experiences that are intelligent, proactive, and contextual; and 'Make at Scale,' to modernize core systems and build large app portfolios to keep pace with business growth. The Mendix platform is built to promote intense collaboration between business and IT teams and dramatically accelerate application development cycles, while maintaining the highest standards of security, quality, and governance in short, to help enterprises confidently leap into their digital futures. Mendix's 'Go Make It' platform has been adopted by more than 4,000 leading companies around the world.

Press Inquiries

Sara Black[emailprotected](213) 618-1501

Dan BerkowitzSenior Director Global Communications[emailprotected](415) 518-7870

SOURCE Mendix

http://www.mendix.com

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Mendix Puts Intelligent Solutions in the Hands of All Software Developers -- 'Business Events' Introduced; AI and Machine Learning Strengthened and...

Apple Stock Hits All Time Highs Of $154. Will It Rally Further? – Forbes

September 8, 2021 | Author: admin

Close-up of blue logo on sign with facade of headquarters buildings in background near the ... [+] headquarters of Apple Computers in the Silicon Valley, Cupertino, California, August 26, 2018. (Photo by Smith Collection/Gado/Getty Images)

Apple stock (NASDAQ: AAPL) has gained almost 4% over the last week at near all-time highs of about $154 per share, driven by anticipation surrounding the launch of the companys next generation of iPhones, which are likely due around the third week of September, and possibility of updates to other products including MacBooks, Apple Watches, and AirPods in the coming months. Bloomberg previously reported that Apples suppliers are prepping to build as many as 90 million new iPhones this year, a 20% bump over its initial production run for the iPhone 12, indicating that Apple anticipates robust demand for the device, despite it likely being an incremental upgrade over the iPhone 12 which saw a design overhaul.

So will Apple stock continue to trend higher over the coming weeks and months, or is a correction looking more likely? According to the Trefis Machine Learning Engine, which identifies trends in a companys historical stock price data, returns for Apple stock average 2.4% in the next month (21 trading days) period after experiencing a 3.8% rally over the last five trading days.

But how would these numbers change if you are interested in holding Apple stock for a shorter or a longer time period? You can test the answer and many other combinations on the Trefis Machine Learning to test AAPL Stock Chances Of Rise After A Fall And Vice-Versa. You can test the chance of recovery over different time intervals of a quarter, month, or even just one day!

MACHINE LEARNING ENGINE try it yourself:

IF AAPL stock moved by -5% over 5 trading days, THEN over the next 21 trading days, AAPL stock moves an average of 1.7%, with a 54% probability of a positive return over this period.

Also, given a -5% movement for the stock over 5 trading days, it has historically witnessed an excess return of 2.9% compared to the S&P500 over the next 21 trading days, with a 64.4% percent probability of a positive excess return.

Some Fun Scenarios, FAQs & Making Sense of AAPL Stock Movements:

Question 1: Is the average return for Apple stock higher after a drop?

Answer:

Consider two situations,

Case 1: Apple stock drops by -5% or more in a week

Case 2: Apple stock rises by 5% or more in a week

Is the average return for Apple stock higher over the subsequent month after Case 1 or Case 2?

AAPL stock fares better after Case 2, with an average return of 1.7% over the next month (21 trading days) under Case 1 (where the stock has just suffered a 5% loss over the previous week), versus, an average return of 2.2% for Case 2.

In comparison, the S&P 500 has an average return of 3.1% over the next 21 trading days under Case 1, and an average return of just 0.5% for Case 2 as detailed in our dashboard that details the average return for the S&P 500 after a fall or rise.

Try the Trefis machine learning engine above to see for yourself how Apple stock is likely to behave after any specific gain or loss over a period.

Question 2: Does patience pay?

Answer:

If you buy and hold Apple stock, the expectation is over time the near-term fluctuations will cancel out, and the long-term positive trend will favor you - at least if the company is otherwise strong.

Overall, according to data and Trefis machine learning engines calculations, patience absolutely pays for most stocks!

For AAPL stock, the returns over the next N days after a -5% change over the last five trading days is detailed in the table below, along with the returns for the S&P500:

Average Return

Question 3: What about the average return after a rise if you wait for a while?

Answer:

The average return after a rise is understandably lower than after a fall as detailed in the previous question. Interestingly, though, if a stock has gained over the last few days, you would do better to avoid short-term bets for most stocks.

AAPLs returns over the next N days after a 5% change over the last five trading days is detailed in the table below, along with the returns for the S&P500:

Average Return

Its pretty powerful to test the trend for yourself for Apple stock by changing the inputs in the charts above.

What if youre looking for a more balanced portfolio instead? Heres a high-quality portfolio thats beaten the market since 2016

See allTrefis Featured AnalysesandDownloadTrefis Datahere

Original post:
Apple Stock Hits All Time Highs Of $154. Will It Rally Further? - Forbes

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Apple Stock Hits All Time Highs Of $154. Will It Rally Further? – Forbes

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