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Bluefors Dilution Refrigerator Market Expands With <b>Quantum Computer</b> Scaling

Quantum computers aiming for 1,000 qubits will demand between 3,000 and 5,000 individual cryogenic connections, creating a significant challenge and spurring innovation in how signals reach quantum processors. Superconducting quantum computers from companies like IBM, Google, and Rigetti rely on operating temperatures below 10 millikelvin, establishing a critical dependence on dilution refrigerators and their associated cryogenic infrastructure. A new market study details these growth trends, analyzing technologies and companies involved in supplying cryogenic solutions for quantum computing through 2036. The report provides intelligence for those evaluating opportunities in this rapidly expanding segment of quantum technology. Demand for dilution refrigerators is increasing alongside the ambitious scaling plans of superconducting quantum computer developers. This dependence extends beyond simply achieving low temperatures; it also encompasses maintaining the integrity of the quantum states within these processors. This is not just a logistical hurdle, but a catalyst for innovation in high-density cryogenic interconnects and integrated assemblies. Researchers are actively exploring alternative control architectures, including cryogenic CMOS and Single Flux Quantum electronics, to manage this increasing complexity and minimize signal degradation. These approaches aim to move control and readout functions closer to the qubits themselves, reducing the number of physical connections required and improving overall system performance. The report profiles 54 companies, including BlueFors, Oxford Instruments NanoScience, and Delft Circuits, assessing their funding history, technology, and competitive advantages. The report states that “the global cryogenic solutions market for quantum computing represents one of the fastest-growing segments in quantum technology infrastructure.” This expansion is driven not only by the need for more dilution refrigerators but also for specialized cryogenic cables, attenuators, filters, amplifiers, and connectors. The study indicates that demand for these components is accelerating as quantum computers progress from experimental prototypes to potentially commercially viable systems. The report’s “Quantum Computer Markets: Who Leads?” section further highlights

<b>Quantum Computers</b> Demonstrably Outperform Classical Methods In Optimisation Tasks

A degeneracy-weighted shell distribution governed by a single effective parameter, β, quantifies concentration toward near-optimal independent sets. Junwoo Jung and Jaewook Ahn at the KAIST, extracted the genuine concentration effect in quantum data by applying identical postprocessing to both experimental bitstrings and randomly generated bitstrings with matched excitation density, constructing an excitation-matched random baseline. Experiments on programmable Rydberg-atom arrays with system sizes up to 125 sites show quantum annealing consistently exceeds the random baseline, demonstrating enhanced concentration toward low-energy solution structure beyond what can be attributed solely to excitation density. Quantum annealing achieves exponential gains in solution sampling efficiency for combinatorial optimisation Quantum annealing represents a promising paradigm for tackling complex combinatorial optimisation problems, offering the potential to surpass the limitations of classical algorithms. These problems, prevalent in fields such as logistics, finance, and materials science often involve searching for the best solution from a vast number of possibilities. The efficiency of an optimisation algorithm is typically measured by the number of computational attempts required to find a solution within a specified level of accuracy. This research demonstrates that quantum annealing reduces the number of computational attempts needed to achieve a target approximation ratio by the same exponential level as the growth in attempts with system size for near-exact targets, a feat previously unattainable with classical methods. This signifies a substantial reduction in computational effort; for systems up to 125 sites, classical postprocessing alone can reach relaxed targets in order-unity attempts, indicating a significant speedup. The team quantified this performance using a new metric, STS(r), which measures attempts to approximate a solution, and found consistent outperformance of random baselines, enhancing concentration toward low-energy structures. The STS(r) metric, where ‘r’ denotes the approximation ratio, provides a standardised way to compare the performance of quantum and classical approaches, accounting for the trade-off

<b>Quantum Computing</b> (QUBT) Q2 2026 Earnings Call Transcript | The Motley Fool

Image source: The Motley Fool. DATE Monday, Aug. 10, 2026 at 4:30 p.m. ET CALL PARTICIPANTS - Chief Executive Officer and Chairman - Dr. Yuping Huang - Chief Financial Officer - Christopher Bruce Roberts - Investor Relations - John Nesbett TAKEAWAYS - Revenue -- $5.6 million, increasing from $61,000 in the prior year period due to sales of photonics products across government, educational, and commercial sectors. - Net Loss -- $11.8 million or $0.05 per basic share, representing a decrease from a net loss of $36.5 million or $0.26 per share primarily due to a lower mark-to-market loss on derivative liabilities. - Operating Expenses -- $21.8 million, representing a 114% increase driven by higher headcount, payroll for research and development, and $7.3 million in acquisition-related expenses. - Interest and Other Income -- $13 million, compared to $1.8 million in the second quarter of 2025, reflecting interest generated from a larger cash and investment position. - Cash, Cash Equivalents, and Investments -- $1.3 billion as of June 30, 2026, down from $1.5 billion at year-end 2025 following strategic acquisitions. - Total Assets -- $1.6 billion, which remained relatively unchanged compared to Dec. 31, 2025. - Total Liabilities -- $47.2 million, an increase of $26.5 million compared to year-end 2025. - Stockholders’ Equity -- $1.6 billion as of June 30, 2026. - Contract Backlog -- $42.5 million, with contracts typically performed over a period of 12 to 18 months. - Acquisition Capital Expenditure -- $180 million used for the purchases of Luminar Semiconductor, Inc., NuCrypt, and NHanced Semiconductors, Inc. - NHanced Acquisition Terms -- $73.1 million in initial cash and stock, with an additional $72 million available if performance targets are achieved. - Revenue Mix -- 70% to 80% derived from government contracting, primarily as a subcontractor to aerospace and defense primes.

Infleqtion Reports Updated Financial Results for Q2 2026 and FY26 Revenue Guidance

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<b>Quantum Computer</b> Solves a Problem in 15 Minutes That Classical Methods Can't ...

Researchers have demonstrated a quantum computation that appears to exceed the practical capabilities of leading classical simulation methods while also addressing a longstanding problem: how to verify the result. A quantum computer completed a difficult calculation in about 15 minutes, while leading classical simulation methods would require prohibitive amounts of time. Just as importantly, the experiment included a way to establish confidence that the quantum result was accurate. IBM and University of Chicago researchers announced the demonstration on July 30, 2026, presenting it as evidence that quantum computing has met the central requirements for quantum advantage. This means completing a task beyond the practical reach of leading classical methods while providing a reliable measure of how faithfully the quantum computation was performed. In a paper published on arXiv, the researchers describe a new design for encoded quantum circuits that allowed them to pursue both goals at once. The experiment became one of the largest demonstrations of logical quantum computing reported so far. The circuits and results have also been released publicly through the Quantum Advantage Tracker. Verification has remained the central barrier Random circuit sampling (RCS) has long served as a benchmark for testing whether quantum computers can outperform classical systems. In this task, a quantum computer produces patterns so complicated that classical computers cannot efficiently recreate them. The harder the calculation becomes, however, the more difficult it is to confirm that the quantum computer produced the correct output. Eventually, verification itself can become infeasible unless researchers make substantial assumptions about how the machine operates internally. The IBM and University of Chicago experiment addressed this problem with a more structured alternative to RCS. The researchers proved that the new approach preserves the same standards of computational hardness while allowing errors to be detected as the calculation proceeds. “Verification remains one

Infleqtion Reports Updated Financial Results for Q2 2026 and FY26 Revenue Guidance

Q2 Revenue Increases from $12.6M to $13.5M and FY26 Revenue Guidance Increases from Approximately $43M to Approximately $45.1M to Reflect Shift in Timing of Revenue Recognition for Two Government Contracts Increases Offset by Corresponding Reduction in Revenue Recognized in 2024 and 2025 No Impact to Cash or Underlying Business Fundamentals Company Files Form 10-Q for Period Ended June 30, 2026 LOUISVILLE, Colo., August 17, 2026—Infleqtion, Inc. (NYSE: INFQ) (“Infleqtion” or the “Company”), a global leader in quantum computing and quantum sensing powered by neutral-atom technology, today announced that it has filed a Form 12b-25, Notification of Late Filing, with the Securities and Exchange Commission (“SEC”) reporting updated results for the second quarter of 2026, which increases the original results reported in the Company’s press release dated August 12, 2026. The updated results are consistent with the financial information presented in the Company’s Quarterly Report on Form 10-Q, which was filed today with the Securities and Exchange Commission (“SEC”). Updated Second Quarter 2026 Financial Summary - Revenue: $13.5 million, up 157% year over year. Revenue growth was 100% organic and entirely from quantum. - Operating Loss: GAAP operating loss was $29.9 million, compared with $10.4 million in Q2 2025. The increase primarily reflects higher operating expenses as we invest in our strategy, along with higher stock-based compensation. Non-GAAP operating loss was $16.2 million, compared with $7.6 million in Q2 2025. - 2026 Outlook: Updated full-year revenue outlook to approximately $45.1 million, up from $43 million to include non-cash, accounting-based revenue adjustments. There are no changes to the previously provided assumptions underlying the Company’s expectations for its business performance for 2026. Operating cash flow and cash on the balance sheet remain unchanged from the Company’s August 12 press release. The Company is providing these updated financial results after identifying an immaterial adjustment

Mayor Brandon Johnson pressured by anti-data center activists at rally

Mayor Brandon Johnson faced boos from a crowd of anti-data center activists on the South Side Saturday after not disavowing the massive “Quantum Shore” development. Fresh off an executive order more strictly regulating the construction of data centers in Chicago, Johnson appeared at the “Community Over Quantum” event at a Southeast Side school. Asked whether he would oppose the Quantum Shore, which he has repeatedly claimed credit for sparking, Johnson said his “values have not changed,” but “the information is stronger.” “I’m prepared to commit all of my resources … to work with this coalition to do what is legally possible to make sure that the development that is happening is not happening at the expense of working people,” he said. Johnson’s decision to not condemn the project inflamed the crowd, illustrating the thorny politics surrounding increasingly unpopular data centers and advanced computing technology — and the rising pressure Johnson is set to face as the major development at the U.S. Steel South Works site moves forward. “Was that a satisfactory answer?” Lia Terrell, the Southside Together member who served as emcee, asked the crowd as Johnson finished. “No!” the crowd shouted back. “Not at all,” Terrell agreed. “He made his opinion very clear. The reality is that we don’t have the mayor’s support. The data center executive order is not the same thing as stopping the quantum facility.” The tense exchange was just the latest incident in an ongoing push by South Side activists to secure environmental protections and other key concessions as construction moves forward on the 440-acre Quantum Shore site’s first phase, the Illinois Quantum & Microelectric Park. That portion of the potentially massive project includes anchor tenants IBM and PsiQuantum, a company seeking to build the world’s first commercially viable quantum computer. The state has pledged

Xanadu Says <b>Quantum Computers</b> Can Model Key Drug Properties

Xanadu Quantum Technologies and the University of Alberta have formed a research partnership to apply quantum computing to the design of new cancer treatments. The collaboration focuses on photodynamic therapy, a non-invasive approach that uses light-activated compounds to destroy tumor cells, and aims to overcome limitations in current drug discovery methods. Xanadu recently demonstrated quantum computers can simulate crucial light-matter interactions within these compounds, properties difficult to predict using classical computational approaches. Founder and Chief Executive Officer of Xanadu, Dr. Christian Weedbrook, says that by leveraging early fault-tolerant quantum computers, they are positioning quantum computing as a competitive method for accelerating photodynamic drug discovery. Xanadu-Alberta Partnership Targets Photosensitizer Challenges Photodynamic therapy, a non-invasive cancer treatment, stands to benefit from a new partnership aiming to refine its core components. This collaboration seeks to bypass limitations inherent in both traditional experimentation and classical computational modeling of these complex molecules. Professor Alex Brown of the University of Alberta brings expertise in benchmarking computational simulations of these systems, promising a rigorous validation of the quantum computing advancements. Professor Brown, Professor and Chair, explained that photosensitizers are challenging systems because their performance depends on excited-state processes that are difficult to capture accurately with standard computational methods. The partnership intends to strengthen Xanadu’s existing quantum-based workflow for drug design, expanding its capabilities to address increasingly complex challenges in photosensitizer development. Professor Brown’s contributions will be vital in pinpointing the mechanisms that determine therapeutic effectiveness, allowing for more targeted design. See today’s quantum computing news on Quantum Zeitgeist for the latest breakthroughs in qubits, hardware, algorithms, and industry deals.

Accuracy Is the Foundation of Meaningful <b>Quantum Computing</b>

Recently, industry peers—including Quantinuum’s Startup Program Partners Qedma and BlueQubit, as well as our partner RIKEN—published a paper exploring quantum magnetism that “extends beyond the reach of the state-of-the-art classical methods considered;” evidence of a quantum advantage result. Interestingly, the team validated their results on Quantinuum machines (both Helios and System Model H2). In 2025, we published a paper (now in Nature), exploring a similar system - also at scales that frustrate classical computation. This got us thinking: with more successes like this in the literature, what does this mean for the ecosystem at large? What are the key lessons to learn from these early demonstrations? And, perhaps most importantly, what’s next? The answer to the first question, ‘what does this mean for the ecosystem at large’, is a delight to answer. After decades of promises, we are finally in the era where quantum computing is matched with, if not outright exceeding, classical HPC and supercomputing. Examples of (complexity-theory proven) quantum advantage are already common, usually in the form of Random Circuit Sampling. This was extended to generating certified randomness, which was one of the earliest commercial applications of quantum computing. Since then, we have seen a number of results from different groups that push the limits of classical computing while exploring ‘real’ problems; these range from papers exploring quantum magnetism (as mentioned above), to papers exploring things like superconductivity or peaked circuits. Whether or not these are definitively ‘quantum advantage’ results is almost beside the point. They mark a distinct place on the path towards broad scale quantum utility, when quantum computers will be widely useful for researchers and industry alike. More importantly, these papers all speak to a certain level of ‘technological readiness’, showing that quantum computers are now proven to work on problems that are relevant (to

Hybrid boson sampling-neural network architecture for enhanced classification

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

Bipartisan Bill Targets Cyber Threats to Electric Grid | Legis1

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

Bengaluru firm opens quantum foundry to accelerate <b>quantum computing</b> in Karnataka

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,

Researchers in Australia predict new form of <b>quantum</b> matter

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

Fermilab Collaboration Rules Out Large Electric Dipole Values for Muons

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

Nokia Bell Labs set transoceanic optical speed and throughput records last year. Research ...

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

Efficient <b>quantum</b> implementation of dynamical mean field theory for correlated materials

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

Brazilian Researchers Demonstrate Universal Single-Qubit Gates With One Pulse

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

AI is making adaptability the most valuable skill in technology

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

business futurist and keynote speaker for events: consulting expert and futurologist

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

Technology Trends That Could Define the Next Decade

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