Abstract Demonstration of quantum advantage for classical machine learning tasks remains a central goal for quantum technologies and artificial intelligence. Two major bottlenecks to this goal are the high dimensionality of practical datasets and the limited performance of near-term quantum computers. Boson sampling is among the few models for which experiments have claimed quantum advantage, yet it has limited practical applications. Here, we propose a hybrid framework that combines the computational power of boson sampling with the adaptability of neural networks to construct quantum kernels that enhance support vector machine classification. The neural network adapts the data features onto a programmable boson sampling circuit, producing quantum states that span a high-dimensional Hilbert space and enable improved classification performance. Using four datasets with various classes, we demonstrate that our model outperforms classical linear and sigmoid kernels. These results highlight the potential of boson sampling-based quantum kernels for practical quantum-enhanced machine learning. Subjects Acknowledgements AB acknowledges support from the National Natural Science Foundation of China (grants No. W2541020, No. 12274059, No. 12574528, and No. 1251101297). The funder played no role in study design, data collection, analysis and interpretation of data, or the writing of this manuscript. The authors would like to thank S. Sarkar and C. Mukhopadhyay for useful discussions. Ethics declarations Competing interests Author Abolfazl Bayat is Associate Editor of npj Quantum Information. Abolfazl Bayat was not involved in the journal’s review of, or decisions related to, this manuscript. The other authors do not have a competing interest. Additional information Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Rights and permissions Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you
Aug 17, 2026 · via nature.com
Why It Matters Sens. Chris Coons (D-DE) and Mike Rounds (R-SD) introduced bipartisan legislation Aug. 14 designed to protect the nation’s electrical grid from emerging cybersecurity threats posed by quantum computing. The Quantum Grid Utility Assurance and Resilient Defense Act, or Quantum-GUARD Act, would direct federal regulators and the Department of Energy to evaluate quantum-related vulnerabilities and help electric utilities transition to post-quantum cryptography. The push comes as advances in quantum computing raise concerns that sufficiently powerful systems could eventually break widely used encryption standards protecting critical infrastructure and sensitive data. The National Institute of Standards and Technology finalized its first three post-quantum cryptography standards in August 2024 and has encouraged organizations to begin transitioning to them. Rounds framed the legislation as an extension of existing administration priorities. He said the measure would codify parts of President Donald Trump’s executive order addressing advanced cryptographic attacks and support the electric grid’s transition to post-quantum cryptography. Trump’s June executive order established a federal policy of transitioning government systems to NIST-approved post-quantum standards and assisting critical infrastructure owners and operators with their transitions. What They're Saying The Quantum-GUARD Act would require the Federal Energy Regulatory Commission to consider cybersecurity risks posed by quantum computers when reviewing proposed grid reliability standards and to consider potential uses of post-quantum cryptography in information technology and operational technology systems. The bill would also require the Department of Energy’s Office of Cybersecurity, Energy Security, and Emergency Response to establish a collaborative testing environment, or sandbox, within one year. The program would bring together grid operators, technology vendors, federal agencies, state and local organizations and utilities to identify challenges to adopting post-quantum cryptography and test potential solutions. The Energy Department would separately study quantum cybersecurity risks to the bulk-power system, including vulnerabilities in information technology and operational technology and
Aug 17, 2026 · via legis1.com
QpiAI, a city-based deep-tech firm that builds quantum computing and AI solutions, on Monday opened a quantum foundry aimed at strengthening capabilities in quantum processor manufacturing and accelerating the development of quantum computing technologies. The 8-inch quantum foundry has completed its Phase 2, enabling QpiAI to manufacture flip-chip-based superconducting qubits with up to 128 qubits. With Phase 3, slated for completion next year, QpiAI aims to scale its capability to fabricate up to 10,000 physical qubits on a single quantum processing unit (QPU). The facility also provides the capability to manufacture peripheral chips and sensors used in quantum computers. QpiAI has already fabricated four QPUs — the 8-qubit Qvidya, 25-qubit Indus, 64-qubit Kaveri, and 9-qubit Yukti. While Qvidya, Indus, and Kaveri use transmon-based qubits, Yukti is based on QpiAI’s variation of fluxonium qubits and has shown exceptional promise in error-corrected logical qubits, according to the company. Inaugurating the quantum foundry, IT-BT Minister Priyank Kharge, said the establishment of advanced quantum manufacturing capabilities in Bengaluru was an important step in strengthening the State’s deep-tech ecosystem. “The next step is to translate these capabilities into real-world applications. The IT department will work with QpiAI, other corporates, and specialised technology companies to explore opportunities for implementation and build stronger industry-led pathways for quantum technology,” he said. Mr. Kharge also toured the facility and was briefed on QpiAI’s quantum processor manufacturing capabilities, research, and development infrastructure, and technology roadmap. Nagendra Nagaraja, CEO and founder of QpiAI, said manufacturing facilities for QPUs were essential. QpiAI has a roadmap for Quantum Supremacy Centres (QSCs), which will host error-corrected QPUs along with clusters of AI processors to form highly effective and efficient hybrid quantum-AI data centres, he said. “To enable this larger ambition and reach 10,000 physical qubits, and eventually, when multiple QPUs are connected in clusters,
Aug 17, 2026 · via thehindu.com
Researchers in Australia predict new form of quantum matter Big News Network.com Researchers in Australia predict new form of quantum matter MELBOURNE, Aug. 17 (Xinhua) -- Researchers in Australia have predicted a new type of quantum matter, challenging decades of thinking about how ultracold particles behave. The study shows that under the right conditions, mixtures of two fundamentally different types of quantum particles -- bosons and fermions -- can form stable, self-bound "quantum droplets," according to a statement released Monday by Australia's Monash University. Until now, scientists believed these exotic droplets were unlikely to exist in strongly interacting Bose-Fermi systems, according to the study, published in Physical Review Letters with collaborators from Heidelberg University in Germany. Researchers said the discovery provides a new theoretical roadmap for experiments around the world and could deepen understanding of quantum materials that underpin future technologies, from ultra-precise sensors to quantum computing. Lead author Sam Foster, a PhD candidate at Monash University's School of Physics and Astronomy, said the findings open the way to exploring new quantum states and address a long-standing theoretical challenge. "These two very different types of particles could balance each other perfectly to create a stable droplet that effectively holds itself together," Foster said, adding that previous theories could describe such systems only when particles interacted relatively weakly, while the new approach allows researchers to explore stronger interactions where more complex physics emerges. The study found that unlike an ordinary liquid droplet, a quantum droplet exists because of the strange rules of quantum mechanics. In this case, an attractive force between the particles is exactly balanced by the pressure generated by the fermions, preventing the system from collapsing. The team found the predicted droplets should be achievable using existing ultracold atom experiments, making experimental confirmation a realistic next step. Researchers in
Aug 17, 2026 · via bignewsnetwork.com
A year after their final muon magnetic anomaly announcement, the Muon g-2 collaboration today announced a new measurement of a different property of the muon: its electric dipole moment. Based on an analysis of 25% of Fermilab’s experimental data, this is the most sensitive direct search for a muon EDM ever accomplished. It is the first direct search for the muon EDM done at the U.S. Department of Energy’s Fermi National Accelerator Laboratory and only the third search globally in the last 50 years. Searches for EDMs play a vital role in particle physics; detecting an EDM could be key to better understanding the matter-antimatter asymmetry required to explain the universe we see around us. This new result shows that if a muon EDM exists, it must be smaller than what the Muon g-2 experiment can currently detect. Fermilab has hosted the Muon g-2 experiment and collaboration since 2008. The experiment is made up of a 50-foot-diameter superconducting magnetic storage ring repurposed from an earlier version of the experiment at DOE’s Brookhaven National Laboratory, which concluded in 2001. The Fermilab experiment improves upon the Brookhaven version in numerous ways, enabling more precise measurements. The Muon g-2 experiment sends a beam of muons - technically their antimatter counterparts, anti-muons or positive muons - into the storage ring, where they circulate hundreds of times at nearly the speed of light before they decay. Detectors lining the ring observe the decay products and allow scientists to determine how fast the muons are precessing, or wobbling, in the presence of a magnetic field. The precession speed is related to a property of the muon called the magnetic dipole moment, represented by the letter g. Theory predicts that g should be slightly larger than 2. The electric dipole moment is a property that describes the
Aug 17, 2026 · via azoquantum.com
JOURNAL ARTICLE The photonics behind Nokia's submarine optical transmission records: Nokia Bell Labs set transoceanic optical speed and throughput records last year. Research engineer Sylvain Almonacil discusses the optical components involved. - Published In: Electro Optics, 2024. P. 44 1 of 2 - Database: Applied Science & Technology Source Ultimate 2 of 2 Abstract Nokia Bell Labs set two world records in submarine optical transmission, achieving an 800Gb/s data rate at a distance of 7,865km using a single wavelength of light, and establishing a net throughput of 41Tb/s over 291km via a C-band unrepeated transmission system. These records were made possible by higher-baud-rate technologies, which increase data throughput and allow for the transmission of higher capacities over greater distances. The development of lasers that "blink" faster, achieved through external modulation using high-bandwidth electro-optical components, played a key role in these achievements. The next milestone in submarine transmissions is the demonstration of 1.6Tb/s transmission with a single laser, which will require higher-bandwidth electronics and optical components. Nokia Bell Labs is also exploring multi-fiber, multi-mode, and multi-core technologies to unlock even greater levels of capacity in optical networks. In the field of quantum computing, UK firm Nu Quantum is developing a scalable quantum networking infrastructure to enable the scaling of quantum computers. Photonic, based in Vancouver, is working on photonically linked silicon spin qubits for quantum computing and networking platforms, with the goal of reliable quantum communications over long distances. [Extracted from the article] Additional Information - Source:Electro Optics. 2024/05, p44 - Document Type:Article - Subject Area:History - Publication Date:2024 - ISSN:00134589 - Accession Number:177332404 - Copyright Statement:Copyright of Electro Optics is the property of Europa Science Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be
Aug 17, 2026 · via ebsco.com
Abstract The accurate theoretical description of materials with strongly correlated electrons is a formidable challenge in condensed matter physics and computational chemistry. Dynamical Mean Field Theory (DMFT) is a successful approach that predicts behaviors of such systems by incorporating some of the correlated behavior using an impurity model, but it is limited by the need to calculate the impurity Green’s function. This work proposes a framework for DMFT calculations on quantum computers, focusing on near-term applications. It leverages the structure of the impurity problem, combining a low-rank Gaussian subspace representation of the ground state and a compressed, short-depth quantum circuit that joins state preparation with time evolution to compute Green’s functions. We demonstrate the convergence of the DMFT algorithm using the Gaussian subspace in a noise-free setting, and show the hardware viability of circuit compression by extracting the impurity Green’s function on IBM quantum processors for a single impurity coupled to three bath orbitals (8 qubits, 1 ancilla). We discuss potential paths toward realizing this quantum computing use case in materials science. Acknowledgements We acknowledge helpful discussions with Steve Johnston. N.H. and A.F.K. were supported by the U.S. National Science Foundation under Grant No. DMR-1752713. E.K., D.C., and R.V.B. were supported by the U.S. Department of Energy (DOE) under Contract No. DE-AC02-05CH11231 through the Office of Advanced Scientific Computing Research Accelerated Research for Quantum Computing Program. W.A.dJ. acknowledges support from the "Embedding Quantum Computing into Manybody Frameworks for Strongly Correlated Molecular and Materials Systems" project, by the U.S. DOE, Office of Science, Office of Basic Energy Sciences, Division of Chemical Sciences, Geosciences, and Biosciences. Ethics declarations Competing interests The authors declare no competing interests. Additional information Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Supplementary information Rights and permissions Open Access
Aug 17, 2026 · via nature.com
Researchers at Universidade Federal de São Carlos (UFSCar) have demonstrated a new method for constructing any single-qubit quantum gate using a simplification: a single electromagnetic pulse. Building high fidelity quantum gates is a fundamental task for quantum computing. In the case of single-qubit gates, constructing arbitrary gates with a sequence of pulses is in principle straightforward, as demonstrated by Kok et al. and Häffner et al. The team obtained this result by inverting the equation of motion for the evolution operator, a standard method for obtaining the formula. This approach relies only on the rotating-wave-approximation, the only approximation involved, potentially streamlining implementation. Single-Qubit Gate Generation with Linearly-Polarized Fields A single, carefully shaped pulse of light can now enact any single-qubit quantum gate, a feat previously requiring complex sequences of multiple pulses. This advancement does not offer a pathway to simplify hardware and boost operational fidelity. This isn’t merely finding a solution; it’s a determination of the gate creation process, offering a level of analytical control previously elusive. Unlike many existing methods that rely on numerical optimization, this technique yields closed, analytical formulas for the control pulses, making them more readily implementable in physical systems. The control field itself is generated using a relatively simple electromagnetic waveform. The researchers specify that any desired one-qubit gate corresponding to a special unitary matrix can be generated by this single, shaped pulse. This contrasts with earlier methods, such as those detailed by Kok et al. (2007); Häffner et al. (2008); Saffman (2016); Lucero et al. (2008), who used pulse sequences to achieve similar results. The process involves defining two functions, a(t) and b(t), which dictate the pulse’s amplitude and phase, and then solving an integral equation to determine the precise waveform. The paper explains this process. The researchers emphasize the freedom to choose these
Aug 17, 2026 · via quantumzeitgeist.com
The technology skills equation is changing faster than India’s traditional higher education system can adapt. As AI increasingly takes over routine coding, analysis and other execution-heavy tasks, the value of simply knowing a programming language or having an engineering degree is being questioned. What is emerging instead is a premium on problem-solving, critical thinking, adaptability and the ability to work effectively with AI. For Vishwa Mohan, Founder & CEO, upGrad School of Technology, this shift is also exposing a longstanding disconnect between what students learn in engineering colleges and what industry expects from them when they enter the workforce. In an exclusive interaction with Express Computer, Mohan discusses why the industry-academia gap is widening, how AI is changing the definition of employability, why technology education needs to evolve faster, and why cybersecurity and quantum computing need to become part of the next generation of engineering education. From “show me the code” to “show me the thinking” Mohan’s assessment of the changing technology workforce starts with a simple shift in what employers value. “When I started coding, I was studying between 2006 and 2011. And then when I joined Oracle, at that time, people used to say that idea is cheap; show me the code,” he says. “Fast forward to today, I think it’s taken a 360-degree shift where we say, ‘Code is cheap; show me the thinking.'” He believes this shift should fundamentally change what universities prioritise. Computer science fundamentals such as databases, operating systems, compilers and how computers work will remain essential, but a significant part of technology education needs to respond to rapidly changing industry requirements. At the same time, he argues that universities need to continuously update the practical component of their curriculum. The industry-academia gap is widening Mohan says the gap between education and industry has
Aug 17, 2026 · via expresscomputer.in
16 Aug BUSINESS FUTURIST AND KEYNOTE SPEAKER FOR EVENTS: CONSULTING EXPERT AND FUTUROLOGIST A business futurist keynote speaker helps organizations understand how emerging technologies, economic forces, consumer behaviors, demographic shifts, and other trends could redefine their industries… and, most importantly, what leaders should do about those changes. Rather than simply deliver predictions, a top business futurist keynote speaker pairs foresight with corporate strategy. The objective is to help an audience anticipate disruption, identify opportunities, challenge assumptions, and make better decisions today. What Does a Business Futurist Do? A futurologist consulting expert typically: - Studies emerging trends and weak signals - Identifies potential disruptions - Examines technological and societal change - Develops possible future scenarios - Explores implications as one of the best business futurist keynote speakers for specific industries - Challenges conventional assumptions - Identifies emerging opportunities - Helps executives think longer-term - Translates trends into strategic implications - Provides frameworks for addressing uncertainty The big famous business futurist keynote speaker distinction is that futurism isn’t simply predicting the future. Professional futurologists generally work with possibilities and scenarios rather than claiming certainty about what will happen. What Is a Business Futurist Keynote? A talk is a presentation designed to give an audience a new perspective on where business, technology, society, and markets are heading. A keynote might explore: Artificial Intelligence How AI could change products, jobs, customer experiences, business models, and competitive advantage. Future of Work How automation, AI, distributed work, demographic change, and new employee expectations could reshape organizations. Innovation How global business futurist keynote speaker think that companies can identify and capitalize on emerging opportunities. Digital Transformation How technological change affects operations, customer relationships, and business models. Consumer Trends How changing expectations and behaviors could create new markets. Industry Disruption How emerging competitors, technologies, or business models could
Aug 16, 2026 · via futuristsspeakers.com
Technology is evolving at an extraordinary pace, transforming how people work, communicate, travel, shop, and manage their everyday lives. The next decade could bring major changes across artificial intelligence, robotics, connectivity, computing, healthcare technology, and consumer electronics. 1. Artificial Intelligence Everywhere Artificial intelligence is likely to become a standard part of everyday digital experiences. AI could increasingly assist with search, writing, education, customer service, software development, business decisions, and personal productivity. 2. AI Agents and Autonomous Software The next generation of AI may move beyond answering questions and start completing multi-step tasks. AI agents could schedule appointments, analyse information, manage workflows, write software, and coordinate different digital services with limited human intervention. 3. Humanoid Robots Advances in robotics could make humanoid robots increasingly capable of performing useful tasks. Industries such as manufacturing, logistics, hospitality, and potentially home services could benefit from robots that can operate in environments designed for humans. 4. Quantum Computing Quantum computing could eventually solve certain complex problems that are extremely difficult for conventional computers. Potential applications include drug discovery, materials science, optimisation, and advanced cryptography. 5. Next-Generation Connectivity Connectivity is expected to continue improving beyond today's 5G networks. Future communication technologies could provide faster speeds, lower latency, and better connectivity for autonomous vehicles, smart cities, industrial systems, and connected devices. 6. The Expansion of Edge Computing Instead of sending every piece of data to distant cloud servers, edge computing processes information closer to where it is generated. This can reduce latency and become increasingly important for autonomous machines, industrial automation, gaming, and real-time AI applications. 7. Spatial Computing and Mixed Reality Augmented reality, virtual reality, and mixed reality could become more practical and mainstream. Lightweight smart glasses may eventually complement smartphones by displaying information directly within a user's surroundings. 8. Smart Glasses Smart glasses could become
Aug 16, 2026 · via investmentguruindia.com
Algorand's Biggest Upgrade Since Staking Clears Final Hurdle, Bringing Quantum-Safe Accounts to Mainnet Algorand's v5.0.0 protocol upgrade has cleared the 90% node support threshold required for activation, setting the stage for the blockchain's most significant technical overhaul since staking rewards went live in January 2025. The upgrade introduces native quantum-resistant accounts, expanded smart contract functionality, and a restructured fee model that ties transaction costs to resource consumption. The Algorand team confirmed the milestone in a post on X, noting that the upgrade will activate once the mandatory cooldown period concludes. Mainnet deployment is expected within approximately one week, according to community member Alex, who posts as france.algo on X and described the rollout as one of the network's largest protocol upgrades to date. Quantum-Resistant Accounts Move Into the Protocol The centerpiece of v5.0.0 is native support for Falcon-1024 post-quantum signature accounts. Rather than relying on application-level workarounds, quantum-resistant account support is now embedded directly into the protocol itself. Users can create accounts secured by quantum-resistant signatures without deploying additional custom logic. The move builds on Algorand's earlier work in post-quantum cryptography, including the deployment of quantum-resistant state proofs in 2022 and the blockchain's first quantum-resilient transaction in 2025. According to X user Marco Salzmann, v5.0.0 shifts that effort toward broader cryptographic agility across the protocol, positioning Algorand ahead of most competitors in preparing for a future where quantum computers could threaten conventional cryptographic standards. Salzmann also outlined a broader roadmap that includes hybrid accounts, post-quantum multisig capabilities, and additional research into Falcon signatures, post-quantum verifiable random functions, and consensus mechanisms. Smart Contracts and Fee Structure Get Overhauled The upgrade introduces AVM v13, which expands smart contract sizes and adds new functionality. Among the additions is the poseidon2 opcode, while cross-application box storage support broadens how applications can manage data across
Aug 16, 2026 · via finance.biggo.com
Inaugural Lecture Series: Professor Mehrnoosh Sadrzadeh Mehrnoosh shares her journey from logic and the origins of language to quantum computing, exploring how this path led her to new ways of understanding meaning and building AI systems. Abstract Words, numbers and quantum machines: Computing the semantics of language Beginning in the 1930s, the Polish logician Kazimierz Ajdukiewicz, followed later by Yehoshua Bar-Hillel, a pioneer of computational linguistics, showed how the structure of natural language could be described using mathematical rules. In the 1950s, the Canadian mathematician Jim Lambek built on this work to develop a calculus explaining how words combine to form phrases and sentences. In this inaugural lecture, I will trace my own journey through logic, the origins of language and the surprising role of quantum computing in semantics. I will show how linguistic structures can be translated into linear algebra, converted into quantum circuits and tested on quantum hardware. I will also present recent results from vision-and-language tasks. Together, these findings point towards a new generation of AI systems in which quantum computers may prove useful not only for learning from data, but also for learning from the structures through which meaning is created. About the speaker Mehrnoosh is Professor of Computer Science and a Royal Academy of Engineering Research Chair. She leads the Quantum Learning Labs. Her fascination with higher-order algebraic structures led her to study category theory and substructural logics, first at Sharif University of Technology in Iran, then at the University of Ottawa and the Université du Québec à Montréal, and later at Oxford. While in Montreal, Mehrnoosh worked with Canadian mathematician Jim Lambek, widely regarded as the father of algebraic linguistics. Her research helped to formalise the grammars of a range of human languages and ultimately provided a solution to the problem of semantics for
Aug 16, 2026 · via ucl.ac.uk
A seven-member physics collaboration has demonstrated theoretically that a chain of superconducting qubits — coupled in a carefully alternating pattern — can function as a single logical qubit whose phase noise collapses to exactly zero, removing dephasing from the error budget entirely and reducing relaxation to half that of any individual element in the chain, all without the physical-qubit overhead that quantum error correction demands. The result, published Friday in npj Quantum Information, a Nature Publishing Group journal, represents a distinct attack on the decoherence problem: rather than catching and correcting errors after they occur, the team's design makes a class of errors structurally impossible to commit. Quantum computers are only as powerful as the qubits they are built from, and qubits have two well-characterized failure modes. Dephasing — technically the pure dephasing or T2 process — describes the gradual loss of phase coherence between the quantum states that encode information; it is dominated in real devices by low-frequency flux and charge noise that constantly jostles the qubit's energy levels. Relaxation — the T1 process — describes the qubit shedding energy to the environment and dropping to its ground state, erasing whatever information was stored. Both channels must be suppressed simultaneously for a qubit to remain computationally useful long enough to finish a calculation. Mainstream fault-tolerant quantum computing addresses this by encoding one logical qubit in dozens to hundreds of physical qubits and running constant error-detection cycles — an overhead that some estimates place in the millions of physical qubits for practically useful algorithms. The chain design described in Friday's paper attacks the problem at a lower level, using the quantum symmetry of the coupling pattern itself as a shield. How Interaction Structure Can Silence Noise The team — Roberto Stassi, Shilan Abo, Daniele Lamberto, Ye-Hong Chen, Adam Miranowicz, Salvatore
Aug 16, 2026 · via techtimes.com
Member-only story
Quantum Sundays |78⟩ Quantum Computing Breakthroughs and Their Use in Modern Artificial Intelligence
A practical tour of what quantum computing can, cannot, and might someday do for AI, and what AI is already doing for quantum computing
TL;DR: Despite billions in investment and relentless vendor hype, quantum computers will do essentially nothing for mainstream AI through 2030, because three walls stand in the way: the QRAM data-loading bottleneck (getting a billion classical numbers into a quantum state costs as much as just processing them), dequantization (Ewin Tang and others proved the headline “exponential” quantum ML speedups can be matched classically), and the barren-plateau dilemma (quantum neural networks expressive enough to matter become untrainable, while trainable ones tend to be classically simulable). The genuine breakthroughs of 2024–2026, including Google Willow’s below-threshold error correction and Quantinuum’s 48 error-corrected logical qubits, are historic hardware milestones that remain orders of magnitude short of the thousands of logical qubits ML workloads would demand. The strongest results at this intersection actually run in reverse: DeepMind’s AlphaQubit neural decoder and reinforcement-learning calibration are fixing quantum computing’s hardest…
Aug 16, 2026 · via medium.com
A German startup spun out of Leipzig University has opened orders for two diamond-based quantum computers: the 128-qubit SXQ128 and the 512-qubit SXQ512. SAXON Q says both operate at room temperature, fit inside a standard server rack, and connect to an ordinary electrical supply without cryogenic cooling or vacuum equipment. That sounds like quantum computing finally stepping out of the laboratory, but one important detail needs explanation: the headline totals describe multicore machines, while the company’s specifications list 8 fully entangled qubits per core in the SXQ128 and 16 per core in the SXQ512. A quantum computer without the deep freeze Most superconducting quantum processors depend on elaborate refrigeration, but nitrogen-vacancy systems use defects in diamond whose spin states can be controlled under ambient conditions. In practical terms, this replaces a specialized cryogenic installation with a transportable cabinet that can sit in a normal office or research facility. “Portable” does not mean laptop-sized, so think server equipment on wheels rather than something tucked into a backpack. Fraunhofer IWU has operated a four-qubit SAXON Q machine in Dresden since June 2025, and Germany’s DLR Quantum Computing Initiative says it has accepted four-qubit demonstrators based on the same room-temperature approach. How a flawed diamond becomes a qubit An NV center forms when a nitrogen atom replaces one carbon atom in the diamond lattice and sits beside an empty atomic site. Its electron spin can store quantum information, while light initializes and reads the state and microwave pulses manipulate it. This underlying physics is not new. Researchers demonstrated room-temperature entanglement between engineered defect spins in diamond more than a decade ago, while the hard part has been creating many useful centers at precise locations without losing charge stability, coherence, or reliable control. Why sulfur matters SAXON Q says its manufacturing advance comes from
Aug 16, 2026 · via ecoticias.com
Europe's $6B Tech Fund Just Made Its First Big Investment Europe has often been disparaged for lagging behind the U.S. in technology. It's not just a matter of cultural differences: the critics are actually right. Europe may have a leading position in terms of green policies (reusing old wind turbines as sound barriers is a good example), but the region is undoubtedly playing catch-up in terms of transformative tech like AI. Enter the new Scaleup Europe Fund that may help forward the EU's attempts to finally break free of America's tech dominance. The fund's primary focus is startups working on deep tech. This includes both AI and emerging tech like quantum computing. But what's the total size of the Scaleup Europe Fund, though? After all, preventing growing companies from moving to the U.S. or selling out to American investors can't be achieved with chump change. Well, the amount is quite hefty, believe it or not. Managed by the Swedish firm EQT AB (which has an eye for new companies that have a chance for global expansion), the fund holds around €5 billion, which is roughly $5.8 billion. What company got the first piece of this large pie? That honor belongs to Iceye, a Finnish-based space tech firm that has already raised €1 billion. A mark of future success perhaps, Scaleup Europe Fund values the startup at €10 billion and was happy to contribute €300 million to its development. What does Iceye do? The origins of Iceye can be traced as far back as 2012, when its founders had a vision of a synthetic-aperture radar (SAR) satellite weighing less than 100 kilograms (220 pounds). Experts believed this was a pipe dream, but the company proved everyone wrong when a commercial satellite that stayed true to its vision was launched in 2018.
Aug 16, 2026 · via bgr.com
Chart Industries Leading manufacturer of liquid helium transfer lines and cryogenic systems. According to the latest IndexBox report on the global Liquid Helium Transfer Lines market, the market enters 2026 with broader demand fundamentals, more disciplined procurement behavior, and a more regionally diversified supply architecture. The global liquid helium transfer lines market is entering a phase of sustained expansion, underpinned by the rapid scaling of semiconductor fabrication, the commercialization of quantum computing platforms, and the steady replacement cycle of cryogenic infrastructure in medical imaging. These precision-engineered conduits, which transport liquid helium at approximately 4.2 Kelvin with minimal boil-off, are mission-critical for superconducting magnets in MRI systems, cryogenic wafer probers in advanced fabs, dilution refrigerators in quantum labs, and a broad array of scientific instrumentation. As of 2025, the market is characterized by a concentrated supply base in North America and Europe, while demand increasingly shifts toward Asia-Pacific, where semiconductor capacity additions and national quantum initiatives are accelerating. The aftermarket segment, comprising consumables, seals, filters, and replacement parts, accounts for an estimated 30-40% of global value, offering a recurring revenue stream that buffers against the cyclicality of large capital projects. Over the forecast horizon to 2035, the market is projected to grow at a high single-digit to low double-digit CAGR, supported by the need for higher thermal efficiency, flexible routing in compact tools, and integrated cryogenic systems that combine transfer lines with cryocoolers and control electronics. Supply chain dynamics, helium price volatility, and rigorous qualification protocols remain key considerations for stakeholders. This report provides a data-driven assessment of market size, demand architecture, trade flows, pricing logic, and competitive positioning, offering a consistent framework for manufacturers, integrators, and investors navigating this specialized but increasingly strategic segment The baseline scenario for the liquid helium transfer lines market through 2035 points to robust growth,
Aug 16, 2026 · via indexbox.io
Vitalik Updates Ethereum Roadmap: Quantum Security, Native Privacy and Rollups Take Center Stage 2026/08/15 11:12:00 Ethereum’s long-term development strategy is entering a new phase as Vitalik Buterin places greater emphasis on quantum security, native privacy, native rollups, STARKs and formal verification. His 2026 comparison between Ethereum’s earlier roadmap and its newer long-term Strawmap shows that the network’s priorities are expanding beyond transaction throughput alone. Ethereum developers are increasingly considering how the protocol can remain secure against future cryptographic threats, protect user privacy, simplify Layer 2 verification and support much larger amounts of computation without making the base layer unnecessarily complex. While many of these ideas remain research-stage proposals rather than confirmed upgrades, they offer an important view of where the Ethereum roadmap may be heading over the coming years. What Changed in Vitalik Buterin’s Ethereum Roadmap in 2026? Vitalik Buterin’s Ethereum roadmap update in 2026 reflects a broader shift from scaling-focused development toward security, privacy, verifiability and protocol simplification. In his comparison between the 2023 roadmap and Ethereum’s newer long-term Strawmap, Buterin highlighted greater attention to post-quantum cryptography, native privacy, native rollups, recursive STARKs and formal verification, while some earlier ideas involving Verkle trees, state expiry and specific EVM improvements have evolved or been reconsidered. Researchers are also exploring newer state-management approaches and potentially simpler execution architectures such as RISC-V or LeanISA. Importantly, these developments should not be interpreted as a single new Ethereum hard fork or a fixed implementation schedule. Instead, they show how Ethereum’s longer-term priorities are changing as developers prepare the network for new security risks, scaling requirements and increasingly complex blockchain applications. Why Quantum Security and Native Privacy Are Becoming Ethereum Priorities Ethereum’s long-term development is increasingly focused on risks and limitations that may matter well beyond the next network upgrade. Two of the most important
Aug 15, 2026 · via kucoin.com
Researchers from the University of Messina in Italy, Adam Mickiewicz University in Poland, Fuzhou University in China, and The University of Michigan, Ann Arbor, Michigan, USA have theoretically investigated a system to extend the coherence of quantum bits. The work investigates a chain of superconducting qubits arranged with alternating XX and YY ultrastrong interactions, utilizing the two lowest energy states as a single logical qubit. The authors demonstrate that increasing interaction strength or the number of qubits in the chain suppresses the logical qubit’s pure dephasing rate to zero, and reduces its relaxation rate to half that of a single physical qubit, demonstrating the feasibility of high-fidelity single and two-qubit gates. Ultrastrong Qubit Interactions Enhance Logical Qubit Coherence A logical qubit constructed from a chain of superconducting qubits can maintain coherence significantly longer than its constituent physical qubits, according to theoretical work focused on novel qubit arrangements. Researchers detailed a system where alternating XX and YY ultrastrong interactions between qubits suppress decoherence, a critical step toward building fault-tolerant quantum computers. The study, involving collaboration between institutions in Italy, Poland, China, and The University of Michigan, Ann Arbor, Michigan, USA, theoretically investigates a pathway to extend both pure dephasing and relaxation times, key measures of qubit stability, beyond the limitations of individual qubits. This approach differs from previous hardware-level qubit protection strategies, which typically rely on either a small number of complex elements or a large number of simpler ones. The team’s model utilizes a chain of qubits, leveraging the specific pattern of interactions to create a more robust logical qubit. The theoretical framework centers on understanding how environmental interactions affect qubit coherence. The researchers define global susceptibilities for pure dephasing and relaxation, representing the system’s sensitivity to noise. They explain that ideally, a system would be fully protected if these
Aug 15, 2026 · via quantumzeitgeist.com