Category Archives: Quantum Computing

Quokka: ‘World’s first’ quantum computing consumer product is here – Interesting Engineering

Researchers from the Centre for Quantum Software and Information (QSI) developed an affordable, handy personal quantum computer emulator. It can run programming languages written for quantum computing and produce great results.

Presales for this product have already started happening, with shipments due in July. Co-founded by Simon Devitt and Chris Ferrie, the duo tends to make quantum computing understandable and accessible to everyone.

The researchers are geared up to democratize access to the existing and rapidly growing field of quantum computing called Eigensystem. They aim to do this by levelling up the next generation of scientists, engineers, and innovators using the mode of education.

Quantum computers and quantum technology disrupt industries and promise a significant paradigm shift. One of its benefits is that it can solve complex problems in the blink of an eye. It can also support non-linear problems and can handle huge rises in the amounts of data.

Apart from this, quantum technology can also help with gauging machine learning, drug development, modeling chemical processes, finance, aircraft development, and lots more. It can also help in the world of research, however, its important to know who it is for. In the words of Ferrie, Quantum technology has had limited engagement beyond the rarefied world of research and that means we need to reimagine what quantum education is and who its for.

The duo is just aiming to revolutionize how people learn about quantum computing and STEM education in general. However, STEM technology still runs on a pretty archaic curriculum and is mostly driven by information processing. Quantum is poised to change that.

The researchers hold the opinion that quantum literacy is likely to define the cutting edge of 21st-century innovation. However, the problem is that there isnt a platform where students, educators and hobbyists could properly discover the possibilities.

The Quokka allows users to explore the practical applications of quantum computing, providing hands-on and tactile experiences with cutting-edge technology, said Ferrie. It emulates a 30-qubit fault-tolerant quantum computer, which doesnt exist yet.

The Quokka platform, including the device, is a tool for hands-on learning. It acts as a fault-tolerant quantum computer, unlike other quantum simulators, he said.

It allows you to experiment and learn about quantum algorithms and programs by interfacing with it exactly as you would have to with a future fault-tolerant quantum computer he added.

The Quokka has been created with an objective of generating a dynamic learning ecosystem for students and professionals. The basic tier of the platform comprises three programming interfaces. At the advanced level is a comprehensive library of content with access to lessons, tutorials, curated community projects, and the ability to share, mix, and co-create projects.

Then theres Quokka Stories, a collection of narrative-driven lessons targeting the educational curriculum, reimagining science, technology, engineering and mathematics through the lens of information processing Ferrie shared.

The duo are devising ways to revolutionize peoples learning about quantum computing and STEM education. They believed their product would be affordable and accessible to a wide range of users, like schools, professionals and enthusiasts.

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Quokka: 'World's first' quantum computing consumer product is here - Interesting Engineering

MIT’s Diamond Qubits Redefine the Future of Quantum Computing – SciTechDaily

Researchers developed a modular fabrication process to produce a quantum-system-on-chip that integrates an array of artificial atom qubits onto a semiconductor chip. Credit: Sampson Wilcox and Linsen Li, RLE, edited

A new quantum-system-on-chip enables the efficient control of a large array of qubits, advancing toward practical quantum computing.

Researchers at MIT and MITRE have developed a scalable, modular quantum hardware platform, incorporating thousands of qubits on a single chip, promising enhanced control and scalability. Utilizing diamond color centers, this new architecture supports extensive quantum communication networks and introduces an innovative lock-and-release fabrication process to efficiently integrate these qubits with existing semiconductor technologies.

Imagine being able to quickly solve extremely complex problems that might take the worlds most powerful supercomputer decades to crack. This is the promise of quantum computers.

However, realizing this capability requires constructing a system with millions of interconnected building blocks called qubits. Making and controlling so many qubits in a hardware architecture is an enormous challenge that scientists around the world are striving to meet.

Toward this goal, researchers at MIT and MITRE have demonstrated a scalable, modular hardware platform that integrates thousands of interconnected qubits onto a customized integrated circuit. This quantum-system-on-chip (QSoC) architecture enables the researchers to precisely tune and control a dense array of qubits. Multiple chips could be connected using optical networking to create a large-scale quantum communication network.

By tuning qubits across 11 frequency channels, this QSoC architecture allows for a new proposed protocol of entanglement multiplexing for large-scale quantum computing.

The team spent years perfecting an intricate process for manufacturing two-dimensional arrays of atom-sized qubit microchiplets and transferring thousands of them onto a carefully prepared complementary metal-oxide semiconductor (CMOS) chip. This transfer can be performed in a single step.

We will need a large number of qubits, and great control over them, to really leverage the power of a quantum system and make it useful. We are proposing a brand new architecture and a fabrication technology that can support the scalability requirements of a hardware system for a quantum computer, says Linsen Li, an electrical engineering and computer science (EECS) graduate student and lead author of a paper on this architecture.

Lis co-authors include Ruonan Han, an associate professor in EECS, leader of the Terahertz Integrated Electronics Group, and member of the Research Laboratory of Electronics (RLE); senior author Dirk Englund, professor of EECS, principal investigator of the Quantum Photonics and Artificial Intelligence Group and of RLE; as well as others at MIT, Cornell University, the Delft Institute of Technology, the U.S. Army Research Laboratory, and the MITRE Corporation. The paper was published recently in Nature.

While there are many types of qubits, the researchers chose to use diamond color centers because of their scalability advantages. They previously used such qubits to produce integrated quantum chips with photonic circuitry.

Qubits made from diamond color centers are artificial atoms that carry quantum information. Because diamond color centers are solid-state systems, the qubit manufacturing is compatible with modern semiconductor fabrication processes. They are also compact and have relatively long coherence times, which refers to the amount of time a qubits state remains stable, due to the clean environment provided by the diamond material.

In addition, diamond color centers have photonic interfaces which allows them to be remotely entangled, or connected, with other qubits that arent adjacent to them.

The conventional assumption in the field is that the inhomogeneity of the diamond color center is a drawback compared to identical quantum memory like ions and neutral atoms. However, we turn this challenge into an advantage by embracing the diversity of the artificial atoms: Each atom has its own spectral frequency. This allows us to communicate with individual atoms by voltage tuning them into resonance with a laser, much like tuning the dial on a tiny radio, says Englund.

This is especially difficult because the researchers must achieve this at a large scale to compensate for the qubit inhomogeneity in a large system.

To communicate across qubits, they need to have multiple such quantum radios dialed into the same channel. Achieving this condition becomes near-certain when scaling to thousands of qubits. To this end, the researchers surmounted that challenge by integrating a large array of diamond color center qubits onto a CMOS chip which provides the control dials. The chip can be incorporated with built-in digital logic that rapidly and automatically reconfigures the voltages, enabling the qubits to reach full connectivity.

This compensates for the in-homogenous nature of the system. With the CMOS platform, we can quickly and dynamically tune all the qubit frequencies, Li explains.

To build this QSoC, the researchers developed a fabrication process to transfer diamond color center microchiplets onto a CMOS backplane at a large scale.

They started by fabricating an array of diamond color center microchiplets from a solid block of diamond. They also designed and fabricated nanoscale optical antennas that enable more efficient collection of the photons emitted by these color center qubits in free space.

Then, they designed and mapped out the chip from the semiconductor foundry. Working in the MIT.nano cleanroom, they post-processed a CMOS chip to add microscale sockets that match up with the diamond microchiplet array.

They built an in-house transfer setup in the lab and applied a lock-and-release process to integrate the two layers by locking the diamond microchiplets into the sockets on the CMOS chip. Since the diamond microchiplets are weakly bonded to the diamond surface, when they release the bulk diamond horizontally, the microchiplets stay in the sockets.

Because we can control the fabrication of both the diamond and the CMOS chip, we can make a complementary pattern. In this way, we can transfer thousands of diamond chiplets into their corresponding sockets all at the same time, Li says.

The researchers demonstrated a 500-micron by 500-micron area transfer for an array with 1,024 diamond nanoantennas, but they could use larger diamond arrays and a larger CMOS chip to further scale up the system. In fact, they found that with more qubits, tuning the frequencies actually requires less voltage for this architecture.

In this case, if you have more qubits, our architecture will work even better, Li says.

The team tested many nanostructures before they determined the ideal microchiplet array for the lock-and-release process. However, making quantum microchiplets is no easy task, and the process took years to perfect.

We have iterated and developed the recipe to fabricate these diamond nanostructures in MIT cleanroom, but it is a very complicated process. It took 19 steps of nanofabrication to get the diamond quantum microchiplets, and the steps were not straightforward, he adds.

Alongside their QSoC, the researchers developed an approach to characterize the system and measure its performance on a large scale. To do this, they built a custom cryo-optical metrology setup.

Using this technique, they demonstrated an entire chip with over 4,000 qubits that could be tuned to the same frequency while maintaining their spin and optical properties. They also built a digital twin simulation that connects the experiment with digitized modeling, which helps them understand the root causes of the observed phenomenon and determine how to efficiently implement the architecture.

In the future, the researchers could boost the performance of their system by refining the materials they used to make qubits or developing more precise control processes. They could also apply this architecture to other solid-state quantum systems.

Reference: Heterogeneous integration of spinphoton interfaces with a CMOS platform by Linsen Li, Lorenzo De Santis, Isaac B. W. Harris, Kevin C. Chen, Yihuai Gao, Ian Christen, Hyeongrak Choi, Matthew Trusheim, Yixuan Song, Carlos Errando-Herranz, Jiahui Du, Yong Hu, Genevieve Clark, Mohamed I. Ibrahim, Gerald Gilbert, Ruonan Han and Dirk Englund, 29 May 2024, Nature. DOI: 10.1038/s41586-024-07371-7

This work was supported by the MITRE Corporation Quantum Moonshot Program, the U.S. National Science Foundation, the U.S. Army Research Office, the Center for Quantum Networks, and the European Unions Horizon 2020 Research and Innovation Program.

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MIT's Diamond Qubits Redefine the Future of Quantum Computing - SciTechDaily

Could 3-day workweeks be possible thanks to advanced quantum computing? – Euronews

Could a three-day week be the routine of an average European with advanced quantum computing? We spoke with experts on the continent.

When Emma Mller, a 44-year-old German woman, wakes up each morning, she already has a detailed plan for her health status, dietary suggestions, and exercise recommendations to optimise her day.

She also works only three days a week, thanks to her high productivity levels.

Will we ever live Mllers idyllic life? Is this the promised heaven of a future foretold by advanced quantum computing? When will it happen? Will it be our generation or the ones to come?

For now, it remains pure science fiction, speculation rooted in the promise of advanced quantum technology.

What is real is that IBM's first European Quantum Data Centre is expected to be operational in Ehningen, Germany, by the end of 2024.

"Europe has some of the world's most advanced users of quantum computers," said Jay Gambetta, Vice President of IBM Quantum.

Euronews Tech Talks has interviewed quantum computing experts across the continent to provide a current perspective.

Frank William Marshall, a theoretical physicist at the cultural center of Munich and a leader at the European Quantum Technology Flagship, oversees projects developing quantum computing hardware systems.

He says strong development is happening in superconducting platforms in Delft (Netherlands), Munich and Jlich (Germany), Gothenburg (Sweden), and Helsinki (Finland).

Javier Aizpurua, the Scientific Director of Basque Quantum, notes that IBM will deploy its sixth quantum computer in the world next year in the Basque Country, in northern Spain".

The Basque ecosystem is characterized by strong, fundamental research in materials science, physics, chemistry, and materials engineering.

This foundation was crucial when exploring the potential of deploying a quantum computer to aid in computing and designing these materials, physical processes, and chemical compounds".

Ignacio Cirac, Director at the Max Planck Institute of Quantum Optics, said "there are many expectations surrounding quantum computation in the media and industry.

"However, it's very difficult to turn these expectations into reality," he added. "It's crucial that people have the patience to wait for these developments to materialise".

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Could 3-day workweeks be possible thanks to advanced quantum computing? - Euronews

Quantum Machines Opens Quantum and HPC Facility in Tel Aviv – HPCwire

TEL AVIV, Israel, June 26, 2024 Quantum Machines (QM), a leading provider of processor-based quantum controllers, announced the opening of the Israeli Quantum Computing Center (IQCC), a world-class research facility that will serve the quantum computing industry and academic community in Israel and around the world. The center was built with the financial backing and support of the Israel Innovation Authority and is located at Tel Aviv University.

The IQCCs grand opening took place June 24th, as part of Tel Aviv Universitys AI and Cyber Week. The ceremony began with the ribbon-cutting, followed by speeches from Asaf Zamir, First Deputy Mayor of Tel Aviv; Dror Bin, CEO of the Israel Innovation Authority; Prof. Yaron Oz and Prof. Itzik Ben Israel from Tel Aviv University; and Dr. Itamar Sivan, CEO of Quantum Machines. Industry experts, including Eyal Waldman, co-founder and former CEO of Mellanox, Ofir Zamir, Senior Director of AI Solution Architecture at NVIDIA, and Niv Efron, Senior Director of Engineering at Google, also shared their insights.

The Israeli Quantum Computing Center marks a significant milestone for our tech sector, said Dror Bin, CEO of the Israel Innovation Authority. It exemplifies the remarkable progress of Israels quantum computing ecosystem and will serve as a center of excellence not just locally, but on a global scale. Were proud to support this initiative that solidifies Israels position in the quantum computing race.

The Israeli Quantum Computing Center represents more than technological advancement; its a testament to our duty to pursue the biggest computing revolution since the invention of the computer itself, said Dr. Itamar Sivan, co-founder and CEO of Quantum Machines. By leveraging our excellent talent and global partnerships, we aim to have an impact that goes beyond progress in quantum computing laying the foundation for Israels long-term leadership and sovereignty in this critical field.

The IQCC is a state-of-the-art quantum and HPC center that uniquely integrates the power of quantum and classical computing resources. It is the first in the world to house multiple co-located quantum computers of different qubit types, all utilizing the NVIDIA DGX Quantum system. This offers on-premises supercomputing resources and cloud accessibility, while being tightly integrated with Quantum Machines processor-based OPX control system. The center also features the worlds best-equipped testbed for developing new quantum computing technologies.

The unified DGX Quantum system for integrated quantum supercomputing was co-developed by NVIDIA and Quantum Machines. DGX Quantum implements NVIDIA CUDA-Q, an open-source software platform for integrated quantum-classical computing. The system features a supercomputing cluster headlined by NVIDIA Grace Hopper superchips and also including NVIDIA DGX H100, all connected to AWS cloud platforms for remote access and to leverage additional cloud computing resources. The center also utilizes QMs new OPX1000 controller, designed to enable scaling to 1,000+ qubits.

The tight integration of quantum computers with AI supercomputers is essential to the development of useful quantum computing, said Tim Costa, Director of Quantum and HPC at NVIDIA. This work with Quantum Machines to enable a flagship deployment of NVIDIA DGX Quantum in the IQCC offers researchers the platform they need to grow quantum computing into the era of large-scale, useful applications

Before the IQCC, a developer of a quantum processor chip would need to build their own testing setup, costing millions, said Dr. Yonatan Cohen, CTO and co-founder of Quantum Machines. Now, researchers can plug their chip into our testbed and benefit from the most advanced setup in the world, leveraging NVIDIA and Quantum Machines hardware to accelerate their development process and reduce costs significantly.

The IQCC is open to researchers and developers of quantum computers from around the world. By providing an open, cutting-edge platform for research and development, Quantum Machines aims to accelerate the progress of practical quantum computing and foster collaborative projects with industry leaders that will drive the field forward. The center is poised to become a destination for companies and researchers worldwide, securing Israels quantum independence and cementing its position as a leader in the quantum computing revolution.

For more information about the IQCC please visit https://i-qcc.com.

About Quantum Machines

Quantum Machines (QM) drives quantum breakthroughs that accelerate the realization of practical quantum computers. The companys Quantum Orchestration Platform (QOP) fundamentally redefines the control and operations architecture of quantum processors. The full-stack hardware and software platform is capable of running even the most complex algorithms right out of the box, including quantum error correction, multi-qubit calibration, and more. Helping achieve the full potential of any quantum processor, the QOP allows for unprecedented advancement and speed-up of quantum technologies as well as the ability to scale to thousands of qubits.

Source: Quantum Machines

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Quantum Machines Opens Quantum and HPC Facility in Tel Aviv - HPCwire

University of Gondar Scientists Say Quantum Computers Offer Promising Boost to Alzheimer’s Diagnosis – The Quantum Insider

Insider Brief

A team of scientists said an innovative ensemble deep learning model combined with quantum machine learning classifiers might improve the accuracy and efficiency of Alzheimers disease (AD) classification, according to a study published in Nature.

The researchers, from the University of Gondar in Ethiopia, used the classifiers to investigate Alzheimers disease, a chronic neurodegenerative disorder. Early diagnosis is crucial for timely intervention and treatment, potentially improving the quality of life for those affected. Traditional methods for diagnosing Alzheimers have limitations in accuracy and efficiency, prompting researchers to explore advanced technologies, such as quantum computing.

Quantum Computing and Deep Learning

Quantum computing offers a promising alternative to classical machine learning approaches for various disease classification tasks. Quantum computers, while still under development, can theoretically process complex data and perform calculations at a much faster rate, leveraging quantums unique potential to handle large datasets more efficiently and accurately.

The team leveraged this potential by developing a model that integrates deep learning architectures and quantum machine learning algorithms. This hybrid approach aims to enhance the precision and speed of Alzheimers diagnosis.

The study used data from the Alzheimers Disease Neuroimaging Initiative I (ADNI1) and Alzheimers Disease Neuroimaging Initiative II (ADNI2) datasets. These datasets, comprising MRI brain images, were merged and pre-processed to form the basis of the proposed model. Key features were extracted using a customized version of VGG16 and ResNet50 models. These features were then fed into a Quantum Support Vector Machine (QSVM) classifier to categorize the data into four stages: non-demented, very mild demented, mild demented, and moderate demented.

The ensemble deep learning model combined the strengths of both VGG16 and ResNet50 architectures, deep learning architectures used for image recognition tasks. VGG16 is known for its simplicity and deep convolutional layers, while ResNet50 introduces residual connections to allow for training of very deep networks without performance degradation. The QSVM classifier provided the computational power of quantum algorithms. This combination aimed to enhance the overall performance of the classification model.

Evaluation and Results

The performance of the proposed model was evaluated using six metrics: accuracy, area under the curve (AUC), F1-score, precision and recall. The results demonstrated that the ensemble model significantly outperformed several state-of-the-art methods in detecting Alzheimers disease.

These results lean toward the superiority of the ensemble model with QSVM in accurately classifying AD stages from the merged ADNI dataset. Its important to note that the ResNet + QSVM model exhibited a 6% improvement in accuracy compared to the standalone ResNet model, while the proposed ensemble model showed 8.5% and 12.21% better results compared to other ensemble and SVM models, respectively.

The experiments were conducted using a Hewlett Packard Core i5, sixth-generation computer with 8 GB RAM, and a Google Colab Pro GPU.On the quantum side, the researchers relied on a 5-qubit quantum hardware or simulator, employing the QSVM model from the Qiskit library. This setup allowed for efficient processing and analysis of the MRI brain images, demonstrating the practical application of quantum computing in medical research.

Implications and Future Research

The study highlights the potential of combining quantum classifiers and ensemble learning to achieve effective outcomes in disease classification tasks. The integration of quantum machine learning classifiers with deep learning architectures can significantly improve the accuracy and efficiency of Alzheimers disease diagnosis.

However, the researchers acknowledge the need for further studies to evaluate the practical implementation of this model within medical devices. Future research could focus on integrating the proposed model into real-world medical settings, providing a significant solution to support primary care for Alzheimers disease, especially in cases where MRI scans are blurred or challenging to interpret.

The researchers include: researchers Abebech Jenber Belay, Yelkal Mulualem and elaku Bitew Haile, all of the department of Information Technology, College of Informatics, University of Gondar, Gondar, Ethiopia.

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University of Gondar Scientists Say Quantum Computers Offer Promising Boost to Alzheimer's Diagnosis - The Quantum Insider

Unilever Deepens Quantum Computing Exploration With Microsoft – Consumer Goods Technology

Unilever may be able to use the new capabilities with formulations for its haircare brands.

While still years away from use,Unilever is actively readying for the future of quantum computing within product development.

Tech partners includeMicrosoft, which this week announced new features available on Azure Quantum Elements that are designed to accelerate science research throughgenerative AI and high-performance computing, and in preparation for quantum computing.

Unilever, a Microsoft partner for the last 2.5 years, is using Azure within itsDataLab virtual R&D center and expects these new capabilities to have a tremendous impact, according to a series of statements and videos from the two companies.

With the new capabilities, the CPG can use natural language to query scientific information, and it anticipates slashing the time required to perform computational simulations, including running thousands of lab experiments in the time it typically takes to run a few dozen.

The data can be used to fine-tune models to rapidly screen materials or explore chemical reactions, and Unilever plans to unlock access to the results of hundreds of thousands of new simulations in future modeling.

As one example, Unilever can use a simulation that predicts an outcome based on a molecules chemistry, enabling the company to perform a test without needing to manufacture them. The platform is also already expediting the complex and time-consuming process of developing ingredient ratios for Unilever formulators.

The company has gone so far as to say that it expects it will reduce decades of lab work down to just days, with use cases in such consumer product categories as haircare.

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Unilever Deepens Quantum Computing Exploration With Microsoft - Consumer Goods Technology

QBlox raises $26 million to advance quantum computing research – Innovation Origins

Qblox, a Delft-based company developing quantum computing technology, has raised $26 million, closing its Series A funding round. The round was led by Quantonation and Invest-NL.

Qblox supplies dedicated, fully integrated quantum control stacks, a fundamental quantum computer part. In this way, quantum computers can be controlled efficiently without needing weeks of preparation or meters of electronic racks.

The funding will enable Qblox to expand its research and development efforts, accelerate product development, and further strengthen its market position. Additionally, the company will focus on expanding its team to meet growing demand and drive future growth.

Qblox ensures quantum computers are controlled quickly and reliably

Quantum computers are only at the beginning of their development, but can potentially mean a lot to our day-to-day life. Start-up Qblox from Delft supplies dedicated, fully-integrated quantum control stacks, which are a fundamental part of the quantum computer.

This Series A funding marks a significant milestone in Qbloxs journey to drive quantum innovation forward, said Niels Bultink, co-founder and CEO of Qblox. It has always been clear to us that quantum technology should be seen as a value chain where we work with dedication on one crucial layer of the stack, currently serving over one hundred customers. Almost uniquely in the industry, this has allowed us to grow the company exponentially, fueled by revenue rather than investments. With our first equity investment, we secure our long-term growth, positioning Qblox as the enabler of industrial-scale quantum systems.

We have closely followed Qbloxs impressive journey over the past four years. Their achievements have been remarkable, and we are thrilled to invest in Qblox alongside Invest NL to help accelerate their transition to the industrial market, commented Oliver Tonneau, Partner of Quantonation. Their expertise in control stack development and their unique modular and scalable technology make them a standout player in the field. We look forward to seeing the impact of this investment on their continued progress.

Investing in quantum technology is crucial for pioneering complex technologies that provide solutions to societal challenges. We believe that Qblox is well-positioned to shape the future of quantum computing, stated Yvonne Greeuw, Investment Manager at Invest-NL. We are impressed by the team and proven track record of innovation and growth, demonstrating their ability to impact the industry significantly. We at Invest-NL are excited to be a part of their journey.

Quantum technology professor Pepijn Pinkse: The best time to get quantum security right was yesterday.

His inaugural lecture took place early last month; in practice, Pepijn Pinkse has been working as a professor of quantum technology at the University of Twente (UT) for several years. His lecture focused on creating awareness around quantum security and the threat posed by quantum technology. The best time to get quantum security right was yesterday, he said.

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QBlox raises $26 million to advance quantum computing research - Innovation Origins

Pasqal Co-CEO Loc Henriet Predicts Quantum Computing to Disrupt Industries & Society – The Quantum Insider

Quantum computing will shake industries and society like no other. Well, this is what Loc Henriet, Co-CEO of Pasqal, maintains. At the recent Thoughts 2024 event held by Pasqal, he shared what his groundbreaking technology with neutral atoms could mean for innovation in all sectors.

Quantum computing is a new way of computing, Henriet asserted. So weve seen with the advance of generative AI that it can vastly transform the entire society and many industries. And for quantum it will be even more powerful. The changes that we will be witnessing across various industries can be in automotive, material science and engineering. Well see many, many breakthrough with this new way of doing computing.

Pasqals unique approach sets it apart in the quantum realm.

Pascal has two main advantages, he said. The first one is the unique technology: neutral atoms. It is scalable, powerful, with very pristine qubits and the other advantage is about industrialisation. So, we are going very strongly on engineering and industrialisation, and we have reliable products that we can operate now, Henriet added.

As the company transitions from proof-of-concept collaborations to a thriving user community, Henriet underlined the shared vision driving progress.

In the past few years, we were in the era of proof of concepts where customers were approaching us and we were developing together a proof of concept for their industry and now we are growing into a community of users that have the shared interest in quantum computing to really build the future of this industry, he said.

With its cutting-edge technology and industry partnerships, Pasqala company on our radar for quite some time nowis well-positioned to harness the transformative potential of quantum computing.

Pascal and quantum computing technology has the potential to revolutionise the way we do computing in various industries and to impact society at large, Henriet affirmed.

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Pasqal Co-CEO Loc Henriet Predicts Quantum Computing to Disrupt Industries & Society - The Quantum Insider

The Race to Build a Quantum Internet: Photonic’s Stephanie Simmons Gives Her Two Cents – The Quantum Insider

The Quantum Insider has been closely following Stephanie Simmons and her company Photonic since its founding. Simmons, a physicist and former researcher at Harvard University, co-founded Photonic with the vision of building distributed quantum computers connected via quantum internet. Photonic is pioneering an approach using silicon spin qubits interfaced with photonic links.

As the world inches closer to realizing the revolutionary potential of quantum computing, a critical question looms: what will it take to unite discrete quantum computers into a powerful, scalable quantum internet? At the Economist Impact Event, Simmons, shared insights that could shape the future of this emerging field.

Simmons began by acknowledging the substantial progress made thus far when she expressed her enthusiasm, noting that he loved the earlier discussion in the session about the four million qubits needed to simulate Si:P, remarking on how such use cases and conversations were not even meaningful a few years ago.

However, she stressed that scaling beyond single quantum devices remains the key challenge.

If youre working backwards from the mathematical proof of product market fit you really do want to be working backwards from, well how do you put four million order of qubits on the ground? she said.

Photonics approach centers on using photons to link spin qubits across multiple modules. As Simmons explained: Were working with silicon spins that are photonically connected, so they emit telecom photons which are entangled with the spins they left behind.

This photonic interconnect enables a fundamentally modular and scalable architecture.

It really changes the engineering considerably because now you can imagine printing a million physical qubits and picking your favorite 100,000 because you dont need proximity to do your logic, said Simmons.

A key enabler is the use of quantum LDPC codes, which Simmons hailed as excellent quantum codes that have moved the goalpost 20 years closer for all of us. These highly efficient error correction codes allow drastically reducing the number of physical qubits needed per logical qubit.

Crucially, Photonics design tackles the hurdle of distributing entanglement at scale.

The key resource for distributed quantum computing is entanglement, stated Simmons. She drew a parallel with quantum networks, saying: Distributing entanglement is basically all of the use cases for networks.

Unlike traditional internet data transfer, Simmons described distributing entanglement as akin to distributing a resource like electricity.

You have to be smart with it: the better we get at entanglement distribution, the more quickly we can run those kinds of algorithms at scale, said Simmon.

Addressing the potential speed advantage, Simmons mentioned that it is more important to imagine the fast nature of telecom switching, emphasizing that any two qubits can be connected regardless of their location as long as they are linked by a photonic connection.

As research progresses from single prototypes to integrating multiple modules, Simmons foresees a nonlinear change in expectations and user value emerging from these distributed quantum technologies.

While major technical hurdles remain, Simmonss thoughts give us more insight on the frontier of quantum network architecture. By prioritizing the effective distribution of entanglement as a core resource, companies like Photonic could pave the way for quantum computers to transcend individual devices and coalesce into a powerful, internet-scale fabric. The race for quantum supremacy may ultimately hinge on mastering this entangled future.

Featured image: Credit: Economist Impact

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The Race to Build a Quantum Internet: Photonic's Stephanie Simmons Gives Her Two Cents - The Quantum Insider

SMU Prof and SENTRIQS Team Up on Quantum Cybersecurity With $110K Air Force Grant – dallasinnovates.com

Dr. Klyne Smith [Photo: SMU]

Southern Methodist University (SMU) in Dallas announced earlier this year that Klyne Smith, clinical associate professor of computer science at SMU Lyle, and SENTRIQS, a cybersecurity company, had been awarded a $110,000 grant from the U.S. Air Force to address cybersecurity challenges posed by quantum computers.

Smith will provide insights to research and identify potential military use cases for SENTRIQS, a Georgia-based startup founded in 2023. According to SMU, the ultra-secure messaging and collaboration platform delivers quantum-safe communications for businesses and government organizations.

Smith said he looks forward to partnering with SENTRIQS to support its effort in developing a cutting-edge cyber technology that will add a new layer of protection for our government services. In a statement, Smith said the company has proven its focus on security, quality, performance, and user experience in developing its solution over the last couple of years.

The grant, part of the Small Business Technology Transfer (STTR) program, is a competitive government-funded initiative that encourages small businesses to participate in federal research and development along with nonprofit research institutions.

Smith will leverage his industry insights to research and identify potential military use cases for the technology, as well as introduce military prime contractors who might participate in future STTR projects. Prior to teaching full-time, he led technical solutions delivery for major companies across various industries worldwide.

A data systems expert, Smith has over 30 years of experience in IT and telecommunications, working for companies like IBM, Caesars Entertainment, Alcatel-Lucent, Amdocs, and Ericsson.

Founded in 1925, the SMU Lyle School of Engineering is one of the oldest engineering schools in the Southwest. The long-standing institution continues to play a crucial role in advancing technological research and education.

According to SMU, quantum computing is considered a revolutionary technology that harnesses the principles of quantum mechanics to process data at speeds a million times faster than supercomputers. As technology progresses, concern is growing around cybersecurity and the ability of these powerful machines to break modern cryptography, making current data encryption methods obsolete.

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Collectively, the 100 privately held companies generated more than $11 billion from 2020 to 2022, creating nearly 14,000 jobs while growing average sales by 146%. Plano-based healthcare staffing platform StaffDNA took the top spot in the annual rankings. Here's the complete list of winners.

The four-month SMU Tech CxO Excellence Program welcomed its first cohort of students in early February. Classes are taught by current or previous CIOs and CTOs in top organizations across DFWwith a curriculum focused on leadership, cybersecurity, financial planning, and more.

From artisan cinnamon rolls to a beauty brand inspired by motherhood to a marketplace that fosters connections within gym communities, 10 startups rose to the top of the 2024 SMU Business Accelerator Program. On Friday, they'll roll up their sleeves and pitch.

The aerospace sector stands on the brink of transformation as Advanced Air Mobility (AAM) takes flight. These cutting-edge technologies will not only integrate new forms of transportation into our current mobility ecosystem but present significant opportunities for economic growth. Perhaps most importantly, the success of AAM aircraft in the real world hinges on the development of robust infrastructure and fully integrated logistics systems.

During simulations at NASAs FutureFlight Central, air taxi operations were simulated buzzing around the busy, complex Dallas-Fort Worth airspace. Joby and NASA's goal: evaluating how this next-gen traffic can be integrated into todays airspace using existing air traffic control tools and procedures.

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SMU Prof and SENTRIQS Team Up on Quantum Cybersecurity With $110K Air Force Grant - dallasinnovates.com