The Future of Quantum Computing

NASA Awards Infleqtion $20 Million as World’s First Quantum Gravity Mission Advances Toward Flight

Infleqtion supports U.S. leadership in space-based quantum sensing through its role in the Quantum Gravity Gradiometer Pathfinder Mission Led by NASA’s Jet Propulsion Laboratory LOUISVILLE, Colo. | August 25, 2026 – Infleqtion (NYSE: INFQ), a global leader in quantum computing and quantum sensing powered by neutral-atom technology, today announced NASA has awarded the company a $20 million follow-on contract to continue development of the Quantum Gravity Gradiometer Pathfinder (QGGPf), a mission led by NASA’s Jet Propulsion Laboratory (JPL) that is designed to fly the world’s first space-based quantum gravity sensor. The award brings NASA’s investment in the programto $40 million and advances the mission into its next phase of hardware development and testing. “This follow-on award reflects the progress our team has made and marks an important step toward the mission’s next phase,” said Matt Kinsella, Chief Executive Officer of Infleqtion. “The path from quantum science to a system that can fly in space takes years of engineering, testing, and collaboration. Every milestone brings quantum sensing closer to enabling entirely new ways to observe our planet from orbit.” “There is an enormous amount of potential for quantum technology use cases in space. We are no longer testing the quantum technology itself, but ways we can use it in the space environment,” said Dana Anderson, Chief Science Officer at Infleqtion. “As a NASA-led mission with key contributions from U.S. industry, QGGPf is demonstrating how quantum gravity sensing can operate in low Earth orbit and establishing the technical foundation for future generations of space-based instruments.” The QGGPf mission is designed to demonstrate quantum sensor technologies that could transform how Earth’s surface gravity is measured from space. As a technology pathfinder, the mission is expected to help inform the design of future science-grade instruments, representing a major step forward in U.S. leadership in space-b

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Two Opposing Quantum Particles Could Form a Bizarre New Kind of Matter

Share Facebook Twitter LinkedIn Pinterest Telegram Email Reddit Physicists predict that two fundamentally different types of quantum particles can bind into a stable droplet under extreme conditions. The effect could expose previously unexplored forms of quantum matter. Credit: ShutterstockResearchers predict that strongly interacting bosons and fermions can form stable quantum droplets that may be testable with current experiments.Two very different kinds of quantum particles may be able to join together in a stable form of matter that physicists once considered unlikely. Researchers at Monash University predict that ultracold bosons and fermions can combine under the right conditions to create self-bound “quantum droplets.”Bosons and fermions follow fundamentally different quantum rules, yet the new theoretical work indicates that strongly interacting mixtures of the two can remain bound together. The result challenges the long-held expectation that stable droplets would be difficult to form in strongly interacting Bose-Fermi systems.The prediction gives experimental physicists a new state of matter to search for and could improve understanding of quantum materials relevant to technologies ranging from ultra-precise sensors to quantum computing.Lead author and Monash PhD candidate Sam Foster from the School of Physics and Astronomy said the findings make it possible to investigate previously unexplored quantum states.“Quantum systems can behave in ways that seem impossible in our everyday world. We’ve shown that these two very different types of particles can balance each other perfectly to create a stable droplet that effectively holds itself together.”A schematic of the Bose-Fermi droplet, which demonstrates the unique phase researchers observe in their theory. Credit: Monash UniversityQuantum pressure prevents the droplets from collapsingA quantum droplet is held together differently from an ordinary liquid droplet. Here, attraction between the particles is bal

FAU’s quantum model predicts heart disease with 90% accuracy

Florida Atlantic University researchers report achieving 90.26% accuracy in predicting heart disease using a novel Quantum Support Vector Machine with Angle Encoding. The study, published in the MDPI AI Journal, which has an impact factor of 6.5, systematically evaluated five quantum feature mapping techniques and four quantum machine learning classifiers using data from 918 patients. “Our research demonstrates that quantum machine learning can be a powerful new tool for healthcare analytics,” said Arslan Munir, Ph.D., professor at FAU, highlighting the potential to model complex clinical data and improve disease prediction. Quantum Support Vector Machine Achieves 90% Heart Disease Prediction Accuracy A Quantum Support Vector Machine utilizing angle encoding attained 90.26% accuracy in predicting heart disease, a result exceeding typical performance with conventional machine learning approaches applied to complex clinical datasets. The study details how this quantum model achieved 92.16% sensitivity and 83.42% specificity, alongside an area under the curve (AUC) of 0.93. This level of predictive capability stems from the model’s ability to effectively represent intricate relationships within patient clinical data. Arslan Munir, Ph.D., and Stella Batalama, Ph.D., dean of the College of Science, highlight the broader implications of this work, with Batalama stating, “This work illustrates the growing potential of quantum computing to contribute to advances in healthcare and medicine.” FAU is actively investing in quantum computing infrastructure and faculty expertise, and Munir’s research exemplifies the intersection of quantum computing, artificial intelligence, and healthcare. Our research demonstrates that quantum machine learning can serve as a powerful new paradigm for healthcare analytics. Arslan Munir, Ph Source: https://www.fau.edu/engineering/news/quantum-framework-heart-disease-prediction/ More like thisQuantum ApplicationsQuantum Computing and Machine Learn

UCLA scientists lead $75M push to build reliable quantum computers

Jason Cong and Jens Palsberg of UCLA will co-lead national quantum computing efforts following the distribution of $290 million in funding from the National Science Foundation. The funding is distributed among eight institutes, with each scientist heading separate institutes focused on overcoming critical barriers to reliable quantum computation. Cong will direct UCLA’s development of AI-based tools to improve quantum computer efficiency, while Palsberg will co-lead a UC Berkeley-based network including UCLA Samueli, UC Santa Barbara, Caltech, and Stanford. “Quantum computers have the potential to solve problems that are out of reach for today’s computers, but we still have a lot of work to do to get there,” Palsberg said. Fault-Tolerant Systems Research Led by Harvard, UCLA, and MIT Cong will spearhead UCLA’s development of artificial intelligence-based tools designed to enhance the reliability and efficiency of quantum computers, addressing the pervasive issue of errors in these nascent systems. This work forms a core component of the newly established Institute for Fault-Tolerant Quantum Systems, Architectures and Applications, a collaborative effort led by Harvard University with UCLA Samueli and MIT as key partners. Researchers aim to create quantum computers capable of performing calculations reliably despite inherent noise and instability. The NSF Quantum Leap Challenge Institutes are among eight institutes receiving more than $290 million in new funding to advance U.S. quantum science and accelerate the development of technologies with practical applications. The Institute for Quantum Computation, renewed with a five-year, $37.5 million grant, will investigate the potential of quantum computation and develop new technologies, with the UCLA team concentrating on resolving bottlenecks within trapped-ion quantum computing systems and creating software to evaluate diverse quantum technologies. The UCLA researchers anticipate their contributions will pinpoint are

Hole spin qubits hit 99.8% accuracy on standard silicon

Researchers at the University of New South Wales and IMEC have achieved single-qubit gate fidelities up to 99.8% using hole spin qubits fabricated in natural silicon. This result, representing the highest performance reported to date in this material, advances silicon-based quantum computing by leveraging existing semiconductor manufacturing processes. The work demonstrates fast qubit control and exchange pulsing within a device with near-identical geometries and fabrication procedures used in recent high-fidelity electron spin qubit measurements. With future optimizations, these hole spin qubits are expected to enable new capabilities for quantum CMOS architectures. Hole Spin Qubit Performance: 99.8% Accuracy in Natural Silicon A single-qubit gate fidelity of up to 99.8% has been demonstrated using hole spin qubits fabricated on a standard silicon platform, a result that significantly elevates the potential of this approach to scalable quantum computing. The work circumvents the need for costly and complex isotopic purification typically required in other quantum computing architectures. Researchers utilized a 300mm CMOS process, the same technology underpinning modern microchips, to create the quantum dots confining the hole spins. These dots, formed beneath precisely patterned gates, allow for all-electrical control of the qubits, a key advantage for integration and scalability. The device architecture closely mirrors those already used for high-performance electron spin qubits, streamlining potential future co-integration of both types of qubits on a single chip. Fast qubit control, enabled by exchange pulsing, and industrial-grade fabrication techniques were central to achieving the reported fidelity. The team measured a two-qubit gate quality factor of 240, indicating a physical fidelity limit of 99.7%. This indicates that the observed errors are approaching the fundamental limits imposed by the physical system itself, rather than being dominated by technical

QuEra’s AI now tunes quantum lasers in seconds, not minutes

Anthropic’s Claude, an AI agent, now recovers QuEra Computing’s laser system in seconds, a task previously requiring minutes of work from a human specialist. QuEra’s systems rely on precisely tuned lasers to control atomic qubits, and these lasers inevitably drift, halting computation until manually retuned. The company reports that the AI developed and validated its own control logic through the Model Hardware Standard research preview, achieving reliable recovery across multiple failure types. “Every generation of machine carries more lasers than the last,” and this automation marks a step toward self-operating quantum computers for QuEra’s customers.

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Top 10 Quantum Computing Companies in France

France’s quantum ecosystem spans neutral atoms, cat qubits, photonics, silicon spin processors, quantum networking and sensing. QuantumNews ranks the ten companies leading this diverse and increasingly commercial technology landscape.

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Sunlight generates entangled photon pairs for the first time

Researchers have achieved this milestone despite sunlight's low coherence and intensity, offering a sustainable alternative to lasers.

Gujarat to Launch State Quantum Mission, Joining India’s Race to Build Regional Quantum Hubs

The Gujarat government plans to establish a dedicated Quantum Mission to accelerate research, skills and practical applications across the state. The initiative will complement India’s ₹6,003.65-crore National Quantum Mission, although Gujarat is yet to announce its budget, governance structure or implementation timeline.

Top 10 Quantum Computing Companies in Japan

Japan is quietly building one of the world's most complete quantum ecosystems — spanning superconducting processors, cold neutral-atom hardware, cryogenic materials, quantum software, and pharma-grade quantum chemistry. According to QuantumNews' Japan country page, the ecosystem now counts 52 companies, 8 university research clusters, and 1 national research institution, concentrated heavily around Tokyo (35 companies), with smaller hubs in Osaka, Wako, Yokohama, Chigasaki, Kyoto, Hamamatsu, and Tsukuba. Here's a deep dive into the Top 10 Japanese quantum computing companies, ranked by their QuantumNews Quantum Score — a composite measure of hardware scale, gate fidelity/error-correction maturity, funding raised & investor quality, and commercial momentum & partnerships.

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India’s 1,000-Km Quantum-Secure Network Marks a Defining Moment for the National Quantum Mission

India’s National Quantum Mission has demonstrated a 1,000-kilometre quantum-secured communication network using indigenous technology developed by QNu Labs. The milestone takes India halfway towards its 2,000-kilometre inter-city QKD target and strengthens the country’s position in quantum communication and cybersecurity.

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Silicon-Spin Quantum Computers Move Closer to Integrated Chips

Researchers have integrated silicon spin qubits, cryogenic CMOS control and superconducting interconnects into a working quantum processing unit. The advance addresses one of the biggest barriers to scaling silicon quantum computers: controlling large numbers of qubits without overwhelming cryogenic systems with wiring.