A delegation from VTT Technical Research Centre of Finland is at the Quantum Australia Conference to discuss potential areas of collaboration with Australia’s national science agency, CSIRO, under VTT’s new ‘Quantum Leap’ project. The Quantum Leap project will focus on the practical implementation of quantum computing, including quantum software, error correction and mitigation, and components to make quantum computers more energy efficient, reliable and scalable. Dr Anu Kärkkäinen, Research Manager at VTT, said that an essential part of the Quantum Leap Project is about building strong networks with global quantum communities. “Quantum technologies are anticipated to provide unprecedented advances in computing, sensing and communications, with the potential to transform business and society globally,” she said. By joining forces with CSIRO, VTT aims to accelerate the development and real-world impact of quantum solutions. Collaboration is key to finding new opportunities,” Dr Kärkkäinen said. CSIRO’s Dr Anthony Chesman said they were looking forward to continuing discussions with VTT and other Finnish partners through the Quantum Leap Project. “Through collaborative opportunities, CSIRO seeks to accelerate implementation and adoption and deliver practical quantum advantage outside the lab,” he said. “Working with partners who have complementary infrastructure and expertise helps us learn faster and reduce duplication, which is critical in a fast-moving field like quantum. “A partnership with VTT Technical Research Centre of Finland would provide a practical way to connect people across our ecosystems,” Dr Chesman said. In addition to the discussions in Australia, VTT has also brought several Finnish organisations into the project including Tampere and Jyväskylä Universities and quantum companies: IQM, SemiQon, Neste, Vexlum and Quanscient. VTT’s Quantum Leap project will include research exchanges, joint workshops, white papers, industry-focused dissemination events and scientific publications. These activities are intended to support knowledge transfer, ecosystem development and the identification of new industrial use cases.
Apr 30, 2026 · via csiro.au
Building on a long-standing MIT–IBM collaboration, the new lab will chart the convergence of AI, algorithms, and quantum computing CAMBRIDGE, Mass., April 29, 2026 /PRNewswire/ -- IBM (NYSE: IBM) and the Massachusetts Institute of Technology today announced the launch of the MIT-IBM Computing Research Lab, advancing their long-standing collaboration to shape the next era of computing. The new lab expands its scope to include quantum computing, alongside foundational artificial intelligence research, with the goal of unlocking new computational approaches that go beyond the limits of today's classical systems. The MIT-IBM Computing Research Lab builds on a distinguished history of scientific excellence at the intersection of research and academia. Evolving from the MIT-IBM Watson AI Lab, which originated in 2017 on MIT's campus, the new lab reflects a transformed technology landscape—one in which AI has entered mainstream deployment, and quantum computing is rapidly advancing toward practical impact. Together, MIT and IBM aim to help lead research in AI and quantum and to redefine mathematical foundations across both domains. "We expect the MIT-IBM Computing Research Lab to emerge as one of the world's premier academic and industrial hubs accelerating the future of computing," said Jay Gambetta, director of IBM Research and IBM Fellow, and IBM chair of the MIT-IBM Computing Research Lab. "Together, the brightest minds at MIT and IBM will rethink how models, algorithms, and systems are designed for an era that will be defined by the sum of what's possible when AI and quantum computing come together." "For a decade, the collaboration between MIT and IBM has produced leading-edge research and innovation, provided mentorship and supported the professional growth of researchers both at MIT and IBM," said Anantha Chandrakasan, MIT's provost, who as then-dean of the School of Engineering spearheaded the creation of the MIT-IBM Watson AI Lab and will
Apr 29, 2026 · via prnewswire.co.uk
Lawrence Livermore National Laboratory (LLNL) has been selected to lead a project that will receive $4.1 million in funding from the U.S. Department of Energy Advanced Research Projects Agency-Energy (ARPA-E) as part of the Quantum Computing for Computational Chemistry (QC3) program. QC3 seeks to develop and apply quantum algorithms to accelerate simulations of chemistry and materials science to advance commercial energy applications ranging from superconducting power lines, advanced batteries, engineered rare-earth magnets and breakthrough catalytic systems. LLNL will develop quantum and machine learning-accelerated software tools and apply them to discovering ultra-strong, lightweight magnets that are crucial for electronic motors, generators and high-performance information technology. The core innovation is a hybrid classical-quantum algorithm that can accurately predict material performance. The result could have a huge impact on how America uses energy. “Anytime you want to convert energy between electrical forms and mechanical forms, like in wind turbines, electric vehicles or hydro power, you need to have a magnet that mediates that process,” said LLNL scientist and project lead Ilon Joseph. “If we can do much better calculations of magnetic materials science, we can find new kinds of magnetic materials that can power our energy technology.” New magnet materials could circumvent China’s critical material supply chain and offer improvements in terms of weight, strength, robustness and resistance to corrosion. Even slight enhancements could also decrease the resources needed to power artificial intelligence (AI) and information technology (IT). Much of the energy consumption in AI and IT comes from writing and erasing information stored in memory. For MRAM-based chips, which store data using magnetic states, reading and writing requires flipping the magnetization of tiny thin-film magnets. Because AI and IT are predicted to dominate U.S. electricity consumption by the end of the decade, magnetic memory that takes less energy to flip — even
Apr 29, 2026 · via newswise.com
An emerging technology that uses lasers to measure temperature at microscopic scales could pave the way for faster, more powerful computing devices, longer-lasting batteries and more, according to a University of Virginia professor and his colleagues. “The limiting factor in all device designs right now is the heat,” said Patrick Hopkins, Whitney Stone Professor of Engineering and co-author of an article in Nature Reviews Methods Primers, a publication of the journal Nature. “That’s why iPhones can’t be faster, computers can’t be faster, servers can’t be faster.” Hopkins, who earned his undergraduate and graduate degrees at UVA, teaches in the School of Engineering and Applied Science’s Department of Mechanical and Aerospace Engineering. The journal approached him and his co-authors to create a guide to build and use a method called time-domain thermoreflectance, or TDTR, a technique for measuring temperature change at very small scales. Hopkins’ Experiments and Simulations in Thermal Engineering (ExSiTE) lab at UVA specializes in laser-based techniques that are uniquely capable of characterizing thermal properties at the smallest time and space scales. The Way to Smaller, Faster Devices Understanding these properties is fundamental to developing new materials for ever-shrinking devices that can stay cool while delivering the computing power that today’s technologies — such as generative AI or high-density energy storage — demand. TDTR helps provide that fundamental knowledge, and it’s becoming more important as researchers work with smaller and smaller materials, Hopkins said. The technique is showing up in research across fields like quantum computing, semiconductor materials and battery technology. The Nature Reviews Methods Primer article gives future researchers a primer on the technique, so it could be more widely used in other areas of research. Hopkins, who also holds courtesy appointments in the materials science and engineering and physics departments, co-authored the paper with Ramya Mohan, a
Apr 29, 2026 · via engineering.virginia.edu
NVIDIA will host a conference call on Wednesday, May 20, at 2 p.m. PT (5 p.m. ET) to discuss its financial results for the first quarter of fiscal year 2027, which ended April 26, 2026.
The call will be webcast live (in listen-only mode) on investor.nvidia.com. The company’s prepared remarks will be followed by a Q&A session, which will be limited to questions from financial analysts and institutional investors.
Ahead of the call, NVIDIA will provide written commentary on its first-quarter results from Colette Kress, the company's executive vice president and chief financial officer. This material will be posted to investor.nvidia.com immediately after the company’s results are publicly announced at approximately 1:20 p.m. PT.
The webcast will be recorded and available for replay until the company’s conference call to discuss financial results for its second quarter of fiscal year 2027.
Apr 29, 2026 · via nvidianews.nvidia.com
Gov. JB Pritzker’s plan to build the nation’s “most robust quantum ecosystem” in South Chicago took a quantum leap forward Wednesday, thanks to a stronger partnership IBM aimed at ensuring that “everyone benefits” from the quantum computing revolution. Sixteen months after IBM became the first Fortune 500 company to join the planned Illinois Quantum and Microelectronics Park on the South Side, IBM agreed to open a new FutureNow Chicago delivery center at the park that will create 750 full-time jobs. The groundbreaking investment includes IBM’s commitment to hire one-third of the qualified graduates from a new apprenticeship program to be started at the City Colleges of Chicago. Pritzker announced the new partnership at Olive Harvey College, one of the seven City Colleges whose current and future students stand to benefit from the apprenticeship program and the pipeline to permanent jobs it will create. Pritzker called it a quantum leap in his drive to ensure the economic opportunities created by the new campus will benefit everyone in the state. “With a transformation that’s this big, I intend to make sure that our working families and communities are at the core of the economic success that these changes are going to bring” to Chicago, the state and the nation, Pritzker told the gathering of political, business, civic and education leaders that included Mayor Brandon Johnson. “Through a new innovative workforce collaboration between IBM and City Colleges of Chicago and philanthropic partners, our people here in Illinois will benefit from the opportunities ahead. At IBM’s FutureNow Chicago center, residents of the South Side will be able to reap the economic lift from this new wave of technology. City Colleges are supporting 500 apprentices at IBM. Even more exciting, IBM has committed to hiring more than a third of qualified participants for full-time positions.”
Apr 29, 2026 · via chicago.suntimes.com
Building on its growing Chicago quantum footprint, IBM is planning to open a FutureNow delivery center at the Illinois Quantum and Microelectronics Park, with a commitment to create 750 new full-time technology jobs on the city’s South Side. The center, one of a handful scattered across North America, will serve as an IBM innovation hub to solve business and technology challenges for its clients. It also expands the computer giant’s role in developing the state’s nascent quantum ecosystem, while providing a pipeline for Chicago tech talent to launch their careers. “With this new era of quantum computing upon us, I actually do believe that we are now a couple of years away from this making a profound difference to industry and to people’s lives,” IBM CEO Arvind Krishna said during an announcement Wednesday at Olive-Harvey College. “This is the moment to double down on our cooperation and our investment.” As part of the program, IBM will participate in a new City Colleges apprenticeship program to support 500 students to work at the innovation center over the next five years. IBM has committed to hire at least 180 apprentice alumni to help reach its employment targets with the state. Krishna was joined Wednesday by Gov. JB Pritzker, Mayor Brandon Johnson, City Colleges leadership and other politicos onstage at Olive-Harvey on the city’s Far South Side, heralding the latest development in the state’s ambitions to become the center of the quantum universe. “IBM is launching a truly innovative workforce partnership with City Colleges that ensures the benefits of the quantum revolution are felt here and all across the city of Chicago, that everyone in Chicago benefits,” Pritzker said. The new IBM innovation center was incentivized by tax credits through the state’s Economic Development for a Growing Economy program Under the terms of
Apr 29, 2026 · via chicagotribune.com
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Apr 29, 2026 · via youtube.com
Quantum Physics, Biomedicine, and Computer Gear Fill Wednesday’s Schedule Physics, biomedicine, and computer networking were the dominant projects for the Expedition 74 crew aboard the International Space Station on Wednesday. The orbital residents also continued unpacking cargo from a pair of resupply ships while keeping up life support maintenance. NASA flight engineer Jessica Meir spent her shift servicing hardware for a pair of advanced space physics investigations. Meir reviewed procedures and trained to connect delicate fiber optic cables inside the Cold Atom Lab that chills atoms to near absolute zero for quantum research into atomic wave functions, general relativity, and the search for dark matter. The sensitive cables emit light that helps trap, move, and measure the chilled atoms with high accuracy. Next, she set up research gear inside the Microgravity Science Glovebox to explore how weightlessness affects tiny particles floating in a Jello-like substance, known as a colloidal solid. Results may lead to advanced manufacturing techniques leading to new medicines, better food textures, and improved personal‑care products on Earth and in space. Flight engineer Sophie Adenot from ESA (European Space Agency) continued her biomedical research exploring how to create intravenous (IV) fluid, or a saline solution, using a spacecraft’s clean drinking water to treat medical conditions in space. She collected fluid samples generated by the new Intravenous Fluid Generation – Mini device to analyze how evenly mixed the IV fluid is. The technology demonstration seeks to promote crew self-sufficiency farther away from Earth, reduce a crew’s dependence on cargo missions, and avoid expiration of medical supplies on a spacecraft. Adenot earlier began installing new computer hardware inside the Columbus laboratory module to update a ground controller’s ability to monitor scientific payloads and download research data in real time. NASA flight engineer Chris Williams replaced ethernet cables in between Columbus
Apr 29, 2026 · via nasa.gov
Back to Journals » Drug Design, Development and Therapy » Volume 20 Quantum Computing and Quantum Technologies in Drug Discovery and Therapeutics: Evidence, Benchmarking, and Translational Integration Authors Niazi SK Received 21 December 2025 Accepted for publication 26 March 2026 Published 30 April 2026 Volume 2026:20 590730 DOI https://doi.org/10.2147/DDDT.S590730 Checked for plagiarism Yes Review by Single anonymous peer review Peer reviewer comments 3 Editor who approved publication: Professor Anastasios Lymperopoulos Sarfaraz K Niazi Department of Pharmaceutical Sciences, University of Illinois, Chicago, IL, 60612, USA Correspondence: Sarfaraz K Niazi, Email [email protected] Abstract: Quantum technologies—quantum computing, quantum sensing, and quantum-enabled materials—are increasingly proposed as tools to accelerate drug discovery. Yet “quantum advantage” is frequently asserted without standardized benchmarks, clinically meaningful endpoints, or controlled comparisons against modern classical workflows. This review separates (i) quantum computing for molecular simulation and optimization, (ii) quantum sensing for structural/biophysical characterization and diagnostics, and (iii) quantum nanotechnologies for imaging and sensing, and then extends the framework to include device-led and physical therapies that increasingly co-evolve with drug development: photobiomodulation (red/NIR), focused ultrasound for blood-brain barrier opening and delivery enhancement, noninvasive neuromodulation devices (tDCS/TMS), and optogenetic therapies. We summarize demonstrated capabilities and constraints of NISQ-era computing, outline algorithmic classes for quantum chemistry and hybrid variational methods, evaluate quantum error-mitigation strategies and their limits, and contrast claimed performance with classical baselines in computational chemistry and machine learning. We conclude that near-term translational value is most substantial for quantum sensing and for device/physical platforms with established clinical evidence. In contrast, quantum computing remains principally hypothesis-generating until fault tolerance and reproducible advantage are established. Device-based modalities—including transcranial photobiomodulation for neuropsychiatric indications, focused ultrasound enabling CNS drug delivery, and home-supervised neuromodulation—are already reshaping therapeutic landscapes and clinical trial design. For drug discovery, the central requirement is not quantum novelty but validated decision
Apr 29, 2026 · via dovepress.com
Bibhas Adhikari, from the Fujitsu Research of America, and colleagues have created a unified quantum framework that encodes graphs onto a quantum state using $2\lceil \log_2 N \rceil$ working qubits and two ancilla qubits, achieving a gate complexity of O(N²). The approach designs quantum measurement operators to identify target subgraph edge structures, enabling count estimation through measurements of the adjacency state, and demonstrates application to triangles, cycles and cliques. The framework yields quantum logspace algorithms for motif counting, representing a key advance as no classical equivalent currently exists. Logarithmic qubit scaling enables efficient quantum motif discovery A breakthrough in quantum motif counting has reduced the qubit requirement for graph encoding to $2\lceil \log_2 N \rceil$, a significant improvement over prior methods. This logarithmic scaling, where qubit numbers increase slowly with network size, surpasses a key threshold previously impossible for classical algorithms, which demand space proportional to the network’s size. Classical algorithms for subgraph counting typically require memory scaling linearly with the number of nodes, N, in the graph, making them intractable for large networks. The new framework encodes graphs as a “graph adjacency state”, representing connections rather than individual points, and utilises quantum measurement operators to identify patterns within those networks. The adjacency list representation, used to construct the quantum state, details each node’s immediate neighbours, providing a concise description of the graph’s topology. This contrasts with the adjacency matrix, which requires N² space, even for sparse graphs. The logarithmic scaling achieved here is particularly significant because it suggests the potential to analyse networks far exceeding the capabilities of classical computers. Estimation of subgraph counts, such as triangles and cycles, is now possible using a technique called tensor products, effectively combining quantum states to represent complex systems. The tensor product allows for the creation of a composite quantum state that
Apr 29, 2026 · via quantumzeitgeist.com
Imagine you could take a cosmic mixing bowl and cook up reality from scratch. It would be a strange kind of baking, with the end results including everything from space-time and satellites to cats and the cosmic web. But here’s the question: what would be the basic ingredient you’d need to use? I first got introduced to this kind of question in seventh grade, sitting in a class I had never taken before: physics. Although this introductory class was mostly about balls rolling down hills, I was taught that the methods of physics ought to have limitless reach – an idea called reductionism. Physics should be able to identify the essential ingredients of reality and show how to combine them from scratch into anything and everything. Immediately, I decided to become a physicist. But now, many years and several degrees later, I am less sure that physics holds all the answers. Take something like my sense of self: is that really a consequence of some equation that we haven’t yet derived? If I think about questions like these hard enough, I am left feeling rattled, wondering whether I have become a bad physicist. So, I decided to engage with these doubts and work out what I really think about the essence of reality. I was inspired by two recent books that come at these questions from opposite ends of the spectrum. One argues that all reality is built from nothing more than quantum fields. “Everything else is just in our minds. All our concepts are illusions,” says its author, Liam Graham. The other insists that the most essential ingredient of reality is conscious experience. “That’s what is fundamentally real,” says Adam Frank at the University of Rochester in New York state, one of the book’s co-authors. Deciding whether either of
Apr 28, 2026 · via newscientist.com
Scientist Sahil Khan and colleagues, at Duke University in collaboration with University of Texas and Yale University, have unveiled a new architecture that addresses limitations inherent in early fault-tolerant quantum computing systems. Their research presents a teleportation-based scheme that markedly improves the performance of neutral atom platforms for quantum dynamics simulations. The work tackles bottlenecks found in existing spatial designs by parallelising logical operations, achieving approximately three times the speed of extractor architectures without increasing qubit requirements. Thorough simulations, utilising quantum advantage benchmarks and realistic gate scheduling, demonstrate that this approach could achieve quantum advantage with as few as 11,495 atoms in around 15 hours, representing a key step towards practical fault-tolerant quantum computation. Teleportation scheme unlocks quantum advantage with reduced atom count and runtime A threefold increase in computational speed over existing extractor architectures has been realised, representing a substantial leap forward in neutral atom quantum computing. Historically, balancing qubit count with runtime has severely limited the feasibility of early fault-tolerant demonstrations of quantum advantage. Quantum computation demands significant resources, and the number of qubits required for meaningful calculations has been a major obstacle. Existing spatially efficient schemes were hampered by serial processing bottlenecks, where operations had to be completed one after another, limiting overall speed. The new teleportation-based scheme overcomes these limitations, identifying a pathway to quantum advantage with a remarkably low 11,495 atoms and a runtime of approximately 15 hours, a threshold previously considered unattainable. This reduction in required resources is crucial for scaling quantum computers to sizes capable of solving complex problems. Simulations utilising realistic gate scheduling and fault-tolerant instruction sets confirm these gains, demonstrating the potential for practical quantum computation. The core of this improvement lies in the efficient parallelisation of logical operations. Unlike traditional serial processing, this allows multiple quantum calculations to occur simultaneously,
Apr 28, 2026 · via quantumzeitgeist.com
Hardavellas and dos Reis Named Awardees of NQAC Quantum Grand Challenges Program Gov. J.B. Pritzker announced the five winning projects at the closing keynote of Northwesternâs Quantum Week Illinois Gov. J.B. Pritzker addressed quantum industry leaders, research scientists, and government officials on April 24 at a keynote event that was one of the highlights of Northwestern’s inaugural Quantum Week. Pritzker hailed the University’s research strengths and industry partnerships as key to Illinois’ broader strategy, which includes the Illinois Quantum and Microelectronics Park (IQMP) now under development in Chicago. “I’m here because Northwestern is an integral part of the nation’s best quantum hub that we’re building here in Illinois,” Pritzker said. “Illinois’ world-class academic and research institutions have long been at the center of our vision for a quantum future.” In partnership with the National Quantum Algorithm Center (NQAC) at the IQMP, Pritkzer announced awards in the Grand Challenges program, an initiative designed to advance quantum applications development in critical areas where quantum computing can address society’s most pressing problems. Among the five awardees, Northwestern Engineering’s Nikos Hardavellas and Roberto dos Reis will collaborate with IBM and Abbvie on “A Hamiltonian Simulation Compiler for Drug Design and Materials Discovery.” The project focuses on democratizing access to quantum systems for simulating molecular interactions relevant to drug discovery and materials design. By developing computational tools that allow scientists from research domains outside of quantum computing to work with quantum computers more easily, this project will help accelerate the use of quantum applications for developing new drugs and improved materials. Hardavellas is a professor of computer science and electrical and computer engineering at the McCormick School of Engineering. dos Reis is a research assistant professor of materials science and engineering at Northwestern Engineering, scientific officer of the Dravid Research Group, and member of the
Apr 28, 2026 · via mccormick.northwestern.edu
Scientists at Cornell University have demonstrated a novel quantum sensing technique that directly predicts a target property, circumventing the need to initially measure the signal itself. Sridhar Prabhu and colleagues report the experimental realisation of quantum computational displacement sensing (QCDS) utilising a superconducting circuit. Their work represents a fusion of quantum sensing and quantum computing, achieving demonstrably improved accuracy in binary classification tasks when contrasted with conventional quantum sensing methodologies followed by classical post-processing. By employing parameterised quantum circuits, incorporating up to 24 entangling gates, and subsequently training these circuits via classical optimisation, the team achieved a classification accuracy advantage of up to 15 percentage points for specific, defined tasks. These findings underscore the potential of integrating quantum computation and sensing to enhance performance when estimating properties of signals, rather than merely estimating the signals themselves. Direct classification via single qubit measurement enhances quantum sensing precision A fifteen-percentage-point improvement in classification accuracy is now achievable with the new quantum computational displacement sensing (QCDS) protocol, exceeding the performance benchmarks of conventional quantum sensing techniques. QCDS directly predicts a class label from a single qubit measurement, effectively overcoming a fundamental limitation inherent in prior methodologies. Traditional approaches necessitate an initial estimation of signal displacement, followed by classical processing to infer the corresponding class label. This two-step process introduces potential inaccuracies and inefficiencies. QCDS, however, leverages the principles of quantum computation to directly map the input signal to a classification outcome, streamlining the process and enhancing precision. The displacement being sensed represents a shift in the signal’s amplitude, and accurately determining this shift is crucial in many sensing applications, such as gravitational wave detection or magnetic field mapping. The protocol utilises superconducting circuits, fabricated using established microfabrication techniques, with up to 24 entangling gates, enabling a quantum computational-sensing advantage for specific binary classification
Apr 28, 2026 · via quantumzeitgeist.com
A new algorithm from Weijun Feng of the Fujian Normal University and colleagues, in collaboration with Sun Yat-sen University, shows an exponential separation between quantum and classical space complexity when estimating Shannon entropy in data streams. The two-stage quantum streaming algorithm achieves logarithmic space complexity, a sharp improvement over the polynomial space needed by any classical method. This demonstrates a key distinction between quantum query complexity and streaming space complexity, highlighting a practical problem in areas like computer networking where quantum computation offers a vital advantage. Quantum algorithm achieves logarithmic space complexity for Shannon entropy estimation Shannon entropy estimation now requires logarithmic space on a quantum computer, a dramatic improvement over the polynomial space demanded by all classical algorithms for the same task. Previously, even the best quantum methods only offered a quadratic speedup for estimating entropy, falling short of a definitive advantage. The two-stage quantum streaming algorithm constructs a specialised ‘oracle’ from incoming data, enabling efficient quantum queries impossible for classical systems. Shannon entropy, a fundamental concept in information theory, quantifies the uncertainty or randomness inherent in a data source. Accurately estimating this entropy is crucial for various applications, including data compression, cryptography, and machine learning. Classical algorithms for Shannon entropy estimation typically require storing a significant portion of the data stream to achieve reasonable accuracy, leading to polynomial space complexity, meaning the memory requirement grows proportionally to a power of the input stream size. This becomes a bottleneck when dealing with massive, continuous data streams. This establishes a fundamental gap between how quantum and classical computers process information in data-rich environments, with potential implications for network analysis and data compression techniques. While practical implementation on near-term devices with limited qubit numbers remains a challenge, the algorithm achieves its space efficiency while maintaining accuracy parameters. Classical algorithms require exponentially
Apr 28, 2026 · via quantumzeitgeist.com
A new integration pathway for quantum computers into existing high-performance computing (HPC) centres has been demonstrated by Lukas Burgholzer and colleagues at Technical University of Munich. The pathway uses the Quantum Device Management Interface (QDMI), addressing the complexity arising from vendor-specific software chains. Implementing a QDMI layer with IQM superconducting systems and connecting it to Slurm job execution and Qiskit workflows sharply reduces the bespoke engineering required for each quantum backend. The resulting standardised software-hardware boundary provides reusable software components across different providers and deployment styles, enabling a faster transition from quantum pilots to production workflows. Standardised interface dramatically reduces quantum software development overhead The implementation reduces custom engineering effort by 75%, a figure previously unattainable due to the lack of standardised interfaces between quantum hardware and high-performance computing systems. This substantial reduction in effort is critical because the development of quantum algorithms and applications is already a complex undertaking, and the added burden of hardware-specific integration significantly hinders progress. Prior to this work, integrating a new quantum processor into an HPC environment often necessitated a complete rewrite of interfacing software, consuming valuable time and resources. This 75% reduction allows development teams to focus on algorithm design and optimisation, rather than low-level hardware communication. This threshold enables genuinely reusable software stacks, moving beyond isolated pilot projects and allowing scalable quantum integration within HPC centres. Previously, each quantum backend demanded entirely new software development, creating a significant operational burden, particularly for centres aiming to offer quantum computing as a service to a broad user base. Central to this advancement is the Quantum Device Management Interface, or QDMI, which functions as a universal translator between quantum processors and conventional computing resources, decoupling software evolution from specific hardware characteristics. QDMI achieves this by defining a consistent set of application programming interfaces (APIs) for
Apr 28, 2026 · via quantumzeitgeist.com
Monarch Quantum and Oratomic have entered a strategic partnership to accelerate the development of utility-scale, fault-tolerant quantum computers. The collaboration integrates Monarch’s specialized photonics systems with Oratomic’s neutral atom computing architecture. Under the agreement, Monarch Quantum will act as the systems integrator, providing its proprietary Quantum Light Engines™ and managing large-scale manufacturing to support Oratomic’s roadmap toward commercially viable hardware. The partnership aims to deliver quantum systems featuring tens of thousands of physical qubits capable of encoding thousands of error-corrected logical qubits by 2030. This target is notably lower than previous industry estimates, which suggested that one million or more physical qubits would be required to reach utility-scale performance. This efficiency is driven by Oratomic’s recent research—conducted in collaboration with Caltech—which utilizes high-rate quantum error correction (QEC) codes optimized for room-temperature neutral atom arrays. By combining integrated photonics for precision optical control with the scalability of neutral atom modalities, the two companies seek to move quantum technology from the laboratory to mass-manufactured deployment. Monarch Quantum, led by CEO Dr. Timothy Day, provides the infrastructure layer for quantum OEMs and defense integrators, while Oratomic, founded by Dr. Dolev Bluvstein, focuses on the hardware and error-correction architectures necessary to solve practical computational problems. The joint effort is positioned to establish a foundational supply chain for the next generation of fault-tolerant computing. You can find the official press release regarding the partnership between Monarch Quantum and Oratomic here. April 28, 2026 Leave A Comment
Apr 28, 2026 · via quantumcomputingreport.com
Canada’s first full-stack, university-owned quantum computer opening new horizons at the University of Saskatchewan The small disc – similar in circumference to a hockey puck – represents the culmination of decades of research, innovation and collaboration. It also holds tremendous promise for the future. While some outcomes are envisioned as faster vaccine development, better crops for food security, stronger insights for health care and business performance, other achievements are “yet to be imagined,” says Steven Rayan, professor of mathematics and statistics and director of the University of Saskatchewan (USask) Centre for Quantum Topology and Its Applications (quanTA). Excitement is writ large across Dr. Rayan’s face as he holds up what he jokingly calls “Canada’s most expensive hockey puck,” one of two quantum processing chips that will power the first university-owned-and-operated, vendor-supported, full-stack, open-architecture quantum computer in Canada. Housed at USask, it will expand quanTA into a major hub for quantum innovation, he says. “I’m holding 14 superconducting quantum bits, or qubits, in my hand. I’m also holding the results of a million dollars of investments, made possible by our immensely generous federal and provincial funders and partners. It has Canada written all over it.” For USask President Vince Bruni-Bossio, the quantum computer affords USask a place among the small group of universities globally that have such technology on site – and a key role in advancing Canada’s quantum strategy. “Quantum computing is reshaping how we approach big and complex problems in a rapidly changing world,” Dr. Bruni-Bossio says. “Being able to apply quantum tools to solve such challenges gives us the ability to lead. Rather than investing in a machine, we’re investing in the capacity to innovate and solve problems – and contribute in more impactful ways in areas that are important to Canada and the world.” A qubit-powered quantum
Apr 28, 2026 · via theglobeandmail.com
Bell Labs’ Michael Eggleston on Nokia’s research into topological quantum computing Bell Labs is known for developing radio astronomy technology, transistors and lasers – now owned by Nokia, its research is focusing on quantum computing For over a hundred years, the industrial research and development company Bell Labs has enjoyed a prestigious history. It developed solar cells, the Unix operating system and many other technologies that are now found in homes, offices and laboratories. In 2016, Nokia acquired the telecommunications company Alcatel-Lucent, which owned Bell Labs, and the historic organization now acts as the research branch of Nokia. Its primary focus is on developing emerging technologies, defined as those at least five years away from commercialization, and providing technical advice to Nokia. Conversely, Nokia identifies challenges affecting business users, which determines the direction of research at Bell Labs. Right now, one of the major projects at Bell Labs is its research into quantum computing, of ever more practical importance to businesses as we edge closer to ‘Q-Day’. Using the properties of subatomic particles, quantum computers are able to process vast amounts of information in a short space of time. It is expected that quantum computers will be capable of solving problems that would take conventional ‘classical’ supercomputers many years to complete, if at all. “My team is split into two main areas,” says Michael Eggleston, research group leader at Bell Labs and a PhD physicist specializing in semiconductor physics and quantum mechanics. Eggleston’s specialist focus is on optoelectronic devices – electronic devices that can control, generate or detect light – and it’s here that Bell Labs is aiming to carve a space for itself in quantum research. “One is on computation, looking at new ways of computing, as computing is just a fundamental requirement for any sort of communication. Communication
Apr 28, 2026 · via itpro.com