Physics faculty awarded Department of Energy’s Genesis Mission funding for AI-based projects Six physics faculty from CU Boulder are leading or contributing to new projects awarded more than $1.6 million in highly competitive U.S. Department of Energy Genesis Mission grants, the agency announced on July 22. Nationwide, only 278 phase-one projects were funded out of over 5,000 proposals. Yuan Shi and Keith Ulmer are principal investigators on their respective projects, Dennis Perepelitsa is a co-principal investigator on two projects, Jamie Nagle is a co-principal investigator on another, and Xun Gao and Scott Parker are collaborators on the project led by Shi. The Genesis Mission is a historic national initiative led by the U.S. Department of Energy, which is building the world’s most powerful integrated science discovery platform. By uniting government, industry, academia, and philanthropy, it is accelerating breakthroughs in energy, scientific discovery, and national security through a new platform that combines AI, supercomputing, quantum systems, and advanced scientific instruments. “Having six CU Physics faculty involved across four Genesis Mission projects is incredibly impressive,” says Tobin Munsat, professor and chair of physics. “This reflects the broad strength of our department and demonstrates how our faculty are leading the way in putting AI and quantum technologies to work on some of the most challenging questions in fundamental science.” AI for analyzing particle collisions at the Large Hadron Collider Ulmer, with collaborators from the University of California San Diego, Fermi National Accelerator Laboratory and Johns Hopkins University, will use AI to analyze largely untapped datasets of particle collisions from the Large Hadron Collider (LHC) at CERN. Each day, the LHC produces about 4,000 petabytes, or 4 billion gigabytes, of particle collision data used by physicists around the world to better understand the fundamental nature of the universe. Because of the enormous amount of
Aug 18, 2026 · via colorado.edu
Key Points - Nvidia's NVQLink platform enables quantum computers to operate in a hybrid platform with classical supercomputers. - Rigetti Computing is partnering with Nvidia. - One validation of Rigetti's technology came from the federal government, which invested $100 million in it this year. Quantum computers hold the potential to transform the computing industry in as dramatic a fashion as artificial intelligence, perhaps more so. The promise of these machines is that they will harness quantum mechanics to solve extremely complicated calculations in minutes that would take today's best supercomputers centuries. That potential was a contributing factor to shares of Rigetti Computing(NASDAQ: RGTI) soaring to a 52-week high of $58.15 last year. Since then, though, the stock has tumbled, reaching a 52-week low of $12.53 in March. It still trades near the lower end of that range, despite working with semiconductor chip leader Nvidia to bring quantum computing capabilities to AI supercomputers. Missed Nvidia in 2009? This Rare Signal Is Flashing Again.In 2009, a "Double Down" signal flashed for a little-known chipmaker called Nvidia. For the first time in years, that same "Total Conviction" signal is flashing for a company 1/100th the size of Nvidia. Continue » The situation appears poised to change, however. The company has made strides that point to a rebound in share price ahead. How Rigetti stands out among competitors The potential power of quantum computers has attracted a number of enterprises, large and small, to the field. What sets them apart are their distinct approaches to constructing quantum devices. At the heart of every quantum computer are qubits -- fundamental units of information that serve the same role as binary bits do in a classical computer. But there are numerous ways to make those qubits, each with advantages and disadvantages, and various players in the
Aug 18, 2026 · via theglobeandmail.com
Quantum computers could be a cybersecurity nightmare. This researcher is helping fend off that risk Northeastern professor Yunsi Fei will be working on making post quantum cryptography systems more resilient to cyberattacks. In the next five to 10 years quantum computers are predicted to be capable of decrypting everything from personal health records to national defense contracts. That’s because these machines are poised to be extremely adept at breaking encryption codes. The mathematical algorithms found throughout the web help keep our precious data safe from hackers, explained Yunsi Fei, a professor of electrical and computer engineering at Northeastern University. It would take upwards of a million years for today’s computers to solve the mathematical formulas underlying today’s encryption techniques, she said. But quantum computers could solve them in a fraction of the time. The Boston Consulting Group, a global management consulting firm, estimates that “quantum computers have a better than 50% likelihood of breaking widely used cryptographic algorithms by 2035.” To safeguard against this, governments and developers throughout the world have begun the process of developing new post-quantum cryptography (PQC) algorithms and techniques. In June, the White House even issued an executive order on the development of PQC technologies. The order directs federal agencies to dedicate time and resources to accelerate the transition to PQC technologies, highlighting their importance for preserving “critical infrastructure and (the) digital economy” against potential quantum computing threats. Now Fei, with the support from the National Science Foundation, will spend the next few years improving the resilience of a post-quantum computing encryption standard against a few of the most common ways hackers could intercept these systems in the future. “If quantum computers come out within the next five years, we cannot wait until then to start looking for alternative algorithms,” she said. PhFor the three-year project,
Aug 18, 2026 · via news.northeastern.edu
Deepens Colorado investment with new global headquarters and celebrates alongside government and community leaders LOUISVILLE, Colo., August 18, 2026 — Infleqtion (NYSE: INFQ), a global leader in quantum computing and quantum sensing powered by neutral-atom technology, is celebrating the grand opening of the Colorado Quantum Innovation Center (CQIC), its new facility in Louisville, Colorado at 1315 W. Century Drive. The grand opening coincides with growing recognition of the Boulder–Louisville–Broomfield corridor as “America’s Quantum Peak,” recognizing the region’s concentration of quantum research, talent, and industry. “Colorado is leading America’s quantum future, and Infleqtion’s new Quantum Innovation Center is further proof that our growing technology sector draws more businesses to our state and strengthens our economy,” said Governor Jared Polis. “Quantum is no longer a future technology, it’s becoming foundational to national security, scientific discovery, advanced sensing and space systems,” said Matt Kinsella, CEO at Infleqtion. “Neutral-atom technology was born out of research happening right here in Colorado, and it’s fueling a new generation of jobs, companies and breakthroughs. We see our new headquarters as both a reflection of our roots in Colorado and a convening point for the quantum ecosystem, including our partners across industry, national laboratories, research institutions and academia.” The Colorado Quantum Innovation Center will serve as Infleqtion’s global headquarters and anchor facility in the region, supporting the company’s work across quantum computing and quantum sensing, including deployments with the U.S. Department of War, NASA, and the UK Royal Navy. The opening reflects the broader shift underway in the quantum industry, from scientific discovery toward industrial deployment at scale. “Colorado is the epicenter of America’s quantum future, and Infleqtion’s new Quantum Innovation Center is proof of what’s possible when we invest in research, talent, and industry together,” said Rep. Brittany Pettersen (CO-07). “From our national laboratories to our universities
Aug 18, 2026 · via infleqtion.com
Quantum computers hold the potential to transform the computing industry in as dramatic a fashion as artificial intelligence, perhaps more so. The promise of these machines is that they will harness quantum mechanics to solve extremely complicated calculations in minutes that would take today's best supercomputers centuries. That potential was a contributing factor to shares of Rigetti Computing (RGTI -5.14%) soaring to a 52-week high of $58.15 last year. Since then, though, the stock has tumbled, reaching a 52-week low of $12.53 in March. It still trades near the lower end of that range, despite working with semiconductor chip leader Nvidia to bring quantum computing capabilities to AI supercomputers. The situation appears poised to change, however. The company has made strides that point to a rebound in share price ahead. How Rigetti stands out among competitors The potential power of quantum computers has attracted a number of enterprises, large and small, to the field. What sets them apart are their distinct approaches to constructing quantum devices. At the heart of every quantum computer are qubits -- fundamental units of information that serve the same role as binary bits do in a classical computer. But there are numerous ways to make those qubits, each with advantages and disadvantages, and various players in the space are trying different ones. Rigetti uses superconducting qubits as the technology behind its quantum processing units (QPUs), which act as the brain and perform calculations in its machines. Superconducting qubits have the advantage of leveraging existing semiconductor chip manufacturing processes such as optical lithography. Rigetti is pursuing a chiplet-based architecture. This strings together a number of small chips to create the QPU, allowing for faster and more scalable quantum computers. Those attributes make them a compelling choice to combine with Nvidia's proprietary quantum platform, NVQLink. With NVQLink,
Aug 18, 2026 · via fool.com
'Beyond human intuition': AI designs chip components 500 times smaller than what engineers could ever imagine Three new AI-designed chip components are just a few micrometers long and go beyond what human engineers have previously envisaged. Scientists have successfully shrunk three components used in photonic microchips by up to 500 times, leaving considerably more space for other on-chip functionality. The achievement was made possible with an artificial intelligence (AI) algorithm that generated these tiny designs, which the researchers described as "beyond human intuition." Whereas conventional microchips use electrons to transmit and process information, photonic microchips utilize particles of light (photons). They can therefore process and transmit data much faster than electronic chips can, because photons can carry information at the speed of light. They also offer higher bandwidth, as different wavelengths can carry distinct data streams, and they lose less energy as heat. As a result, photonic chips are used where fast, high-bandwidth data transmission is essential, such as in fiber-optic communications, data centers, AI, lidar systems for autonomous vehicles, and quantum computing. Instead of metal wires, micrometer-wide channels called waveguides direct light across the photonic chip. These chips also contain wavelength splitters, spatial mode sorters and mirrors — all of which are essential for separating and directing different wavelengths and light patterns within a footprint a fraction of the width of a human hair. In the new study, the scientists used AI-generated designs to fabricate these three components on an ultracompact scale. They published their findings May 28 in the journal Nature Communications. The newly available on-chip space could allow engineers to "unlock new functionalities" by packing on more components, the researchers wrote in the study. Notably, the work demonstrates that AI can produce boundary-pushing chip designs that are also practical to manufacture. AI worked backward to generate the
Aug 18, 2026 · via livescience.com
U.K.-based silicon quantum computing company Quantum Motion has established a new U.S. operational hub in the University of Maryland’s Discovery District in College Park. The site will support the company’s commercial expansion and public-sector operations, placing Quantum Motion close to U.S. federal research and defense entities, including the Defense Advanced Research Projects Agency (DARPA) and the Applied Research Laboratory for Intelligence and Security (ARLIS). [ Quantum Motion US Operational Architecture ] │ ┌─────────────────────────────────┼─────────────────────────────────┐ ▼ ▼ ▼ Silicon CMOS Hardware Stack Federal Defense Integration Regional Hub Co-Location • Standard Fab Spin-Qubit QPUs. • DARPA QBI Program Support. • UMD Discovery District Complex. • Mass-Manufacturable Silicon. • ARLIS Research Initiatives. • Capital of Quantum (CoQ) Hub. • Scalable Control Electronics. • Public-Sector Commercialization. • Co-located with IonQ & Microsoft. The expansion leverages Quantum Motion’s core technical approach—developing spin-qubit quantum processing units (QPUs) using standard silicon complementary metal-oxide-semiconductor (CMOS) manufacturing processes. By utilizing existing semiconductor foundry fabrication infrastructure, Quantum Motion aims to manufacture high-density quantum chips at scale. Key operational objectives for the Maryland facility include: - Government and Defense Collaboration: Supporting U.S. defense initiatives, including participation in DARPA’s Quantum Benchmarking Initiative (QBI) to evaluate scalable hardware metrics and fault-tolerant architectures. - Regional Ecosystem Integration: Joining College Park’s quantum cluster alongside IonQ, Microsoft Quantum, IQM Quantum Computers, and NanoQT. - State Initiative Alignment: Supporting Maryland’s Capital of Quantum (CoQ) initiative, a state-backed program launched in 2025 to expand public-private quantum infrastructure across the region. Led by President and Chief Commercial Officer Hugo Saleh, Quantum Motion’s expansion integrates silicon-based hardware development into the Washington, D.C. metropolitan region’s defense and enterprise markets. Review local reporting via Maryland Commerce here and CityBiz here. August 18, 2026 Leave A Comment
Aug 18, 2026 · via quantumcomputingreport.com
New UAlbany Faculty to Explore AI, Quantum Tech and the Human Brain ALBANY, N.Y. (Aug. 18, 2026) — UAlbany researchers are studying how to combine the enormous power of quantum computing with the unparalleled adaptability and energy-efficiency of the human brain thanks to a new endowment from the Simons Foundation to the State University of New York. The endowment of UAlbany’s Neuromorphic Quantum Computing Constellation will fund four Simons Empire Faculty Fellows — two focused on neuroscience and one each in mathematics and computer hardware engineering. SUNY announced the fellows Tuesday. The fellows joining the campus this month will work at the frontier of two so-far distinct computing fields whose integration may be essential to harnessing the power of artificial intelligence. Despite the dizzying pace of recent advances in AI and quantum computing, our own brains remain the most powerful processors known to humans. The goal of this new cluster is to model, simulate and build next-generation intelligent systems inspired by the complex organization and function of the brain. “As a research university, we know the incredible potential of the human mind. Now, thanks to the Simons Foundation, University at Albany researchers are leveraging expertise from across the university to develop AI computing systems that mimic the adaptability, efficiency and processing power of the human brain,” UAlbany President Havidán Rodríguez said. “We are so grateful to the Simons Foundation for funding this initiative and for their tireless support of scientific research.” Four new faculty members The Simons Foundation’s support will fund four new tenure-track faculty members in UAlbany’s College of Arts and Sciences and College of Nanotechnology, Science, and Engineering. The newly hired faculty members are: - Assistant Professor Kristyn Lizbinski, Department of Biological Sciences - Assistant Professor Tahereh Jabbari, Department of Nanoscale Science & Engineering - Assistant Professor Kent
Aug 18, 2026 · via albany.edu
In-space infrastructure is the invisible backbone of our society that provides the timing, navigation, communication and sensing capabilities that underpin nearly everything we do on Earth. Today, there are more than 16,000 active satellites in orbit, supporting navigation, communications, weather forecasting, financial synchronization, national security systems and more. And this orbital footprint will continue to grow: The World Economic Forum and McKinsey estimate the global space economy will expand from approximately USD 630 billion in 2023 to USD 1.8 trillion by 2035. Meanwhile, for all its extraordinary promise to accelerate scientific discovery and transform industries, quantum computing carries a profound potential risk. Decades ago, mathematicians proved that in the future, a sufficiently powerful quantum computer could use Shor’s algorithm to break the public key cryptography that protects today’s digital world. If attackers applied this capability to critical space systems, it wouldn’t just threaten satellites—it would threaten every Earth-based system that depends on their integrity. Just a handful of compromised space systems could trigger widespread, systemic failures. They can potentially disrupt stock markets, cause payment systems to fail, fracture supply chains, expose sensitive data and intellectual property and cause governments to face immediate crises. Discover emerging research in AI, quantum, hybrid cloud, and more from IBM’s experts with the monthly Future Forward newsletter. The risk is no longer theoretical. It is now a matter of US national policy. On 22 June 2026, the President’s office issued Executive Order 14412, “Securing the Nation Against Advanced Cryptographic Attacks,” which states: “It is the policy of the United States to safeguard national security and maintain technological leadership by responsibly and effectively executing the transition of Federal information systems to National Institute of Standards and Technology (NIST)-approved Federal Information Processing Standards (FIPS) for Post-Quantum Cryptography (PQC), and to assist critical infrastructure owners and operators with
Aug 18, 2026 · via ibm.com
AI + quantum computing: Quantinuum, NVIDIA, and Pfizer have combined transformer-based generative AI with quantum computing to automatically generate high-quality quantum chemistry circuits more efficiently than traditional optimization methods. Practical pharma impact: The approach was used to prepare molecular ground states and validated on Quantinuum’s Helios hardware, demonstrating a path toward larger-scale computational chemistry and drug discovery. Long-term vision: The team aims to build quantum foundation models that learn from increasingly complex quantum data, eventually enabling AI to design circuits for molecules too large for classical simulation. Quantum computing has long promised a future that expands what we can do with compute — for example, in molecular simulation, materials discovery, or pharmaceuticals development. But between that promise and practical utility sits a stubborn bottleneck: quantum state preparation. To run any algorithm on a quantum computer, you must first put the qubits in the right starting state. Think of it like setting up a Rube Goldberg machine- except in this case, you’re not sure exactly which initial setup will give you the results you want. This is what makes quantum state preparation so important: your choice of initial state dictates the accuracy and cost of the rest of the calculation. We teamed up with NVIDIA and Pfizer to tackle this problem, with an eye towards developing meaningful industrial workflows. The result is a new generative quantum AI framework, called ADAPT-GQE, which we consider to be a canonical instance of GenQAI. ADAPT-GQE uses quantum data to train transformer models that ultimately synthesize quantum chemistry circuits faster, with better outcomes, in a sort of ‘virtuous cycle’. Ultimately, this means we have developed a new interface between quantum computing and AI. By treating quantum circuit generation as a language modelling problem, we now have a system that can generate high-quality ground-state preparation circuits -
Aug 18, 2026 · via quantinuum.com
Exclusive look inside Illinois Quantum and Microelectronics Park development in South Chicago A new development under construction in South Chicago will specialize in quantum computing. It's a massive priority for Gov. JB Pritzker, who pushed for the big bucks going into it, hoping to transform vacant space on the lakefront and position Illinois to become the next Silicon Valley. The future is taking shape on South DuSable Lake Shore Drive on property that's been vacant since 1992, when the 128-acre U.S. Steel South Works Plant permanently closed. Quantum computing and technology will run where those mills once did. From old to new, replacing the economic engine of Chicago's past with the park that will drive it into the future on an international scale, according to Harley Johnson, CEO of the Illinois Quantum and Microelectronics Park. "A lot of the people working on the project have parents or grandparents who worked at the steel mills," said Johnson said. "There's no other place like this in the world." Johnson gave CBS News Chicago an exclusive first look at the campus that's now taking shape after being greenlit by city council back in 2024. "This is, I think, a technology that we think will change the world. And what we're trying to do here is create a critical mass of companies and talent that fuels that industry," he said. In the tech space, Illinois is already establishing itself as a global leader — a hub for quantum computing and technology dubbed the Quantum Prairie or the next Silicon Valley. What is quantum computing and its relation to the future? Quantum computing is a new form of computing. It is a technology that uses the principles of quantum physics to process information in a way that's different than what classical computers do. With quantum
Aug 18, 2026 · via cbsnews.com
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
Aug 18, 2026 · via quantumzeitgeist.com
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
Aug 18, 2026 · via quantumzeitgeist.com
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.
Aug 18, 2026 · via fool.com
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Aug 17, 2026 · via fidelity.com
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
Aug 17, 2026 · via scitechdaily.com
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
Aug 17, 2026 · via infleqtion.com
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
Aug 17, 2026 · via chicagotribune.com
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.
Aug 17, 2026 · via quantumzeitgeist.com
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
Aug 17, 2026 · via quantinuum.com