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Quantum Sensing & Metrology: Atomic Clocks & Quantum Sensors

Quantum sensing news: quantum metrology, atomic clocks, quantum gravimetry, magnetometers. Quantum imaging & positioning applications.

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Quantum sensing exploits quantum superposition and entanglement to achieve measurement precision beyond classical limits, offering orders-of-magnitude improvements in timing, navigation, magnetic field detection, and gravitational sensing.

Core technologies include atomic clocks achieving precision of 10^-18 (losing 1 second over 30 billion years); quantum magnetometers detecting femtotesla magnetic fields; and quantum gravimeters measuring gravitational acceleration for underground infrastructure mapping.

India's Quantum Sensing and Metrology Initiatives

India's National Quantum Mission includes quantum sensing and metrology as one of four verticals with dedicated funding. The Qmet Tech Foundation at IIT Bombay serves as the Thematic Hub on Quantum Sensing, Imaging, and Metrology under NQM. Established as a Section-8 not-for-profit company, Qmet brings together 16 premier institutions and 40+ researchers across India.

Key Qmet technologies include the portable magnetometer and quantum diamond microscope developed at IIT Bombay's Photonics and Quantum Sensing Technology Lab (P-Quest Lab). The quantum diamond microscope uses nitrogen-vacancy (NV) centers in diamond as ultra-sensitive magnetic field sensors for applications including non-destructive testing of semiconductor chips and biological sensing of neuronal cultures.

The Physical Research Laboratory (PRL) in Ahmedabad develops atomic clocks for ISRO's navigation satellites (NavIC). The Defence Research and Development Organisation (DRDO) develops quantum sensors for defense applications including submarine detection and navigation in GPS-denied environments.

The NQM targets developing magnetometers with high sensitivity in atomic systems and atomic clocks for precision timing, communications, and navigation. The ₹720 crore quantum fabrication facility investment includes quantum sensing infrastructure at IIT Bombay and IIT Kanpur.

Infleqtion Reports Updated Financial Results for Q2 2026 and FY26 Revenue Guidancequantum-computing

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 finan

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Researchers link quantum data limits to geometry and measurementquantum-computing

Researchers link quantum data limits to geometry and measurement

Researchers at the Technical University of Denmark’s bigQ center, working with collaborators from Finland, Germany, Korea, and Israel, have linked limits on quantum data precision to symplectic geometry, a mathematical branch typically used to study shapes and spaces. The study focuses on the Gaussian quantum Fisher information, revealing this pattern isn’t random but dictated by the underlying geometry of a quantum system. This connection builds a bridge between theoretical symplectic geometry and metrology, potentially impacting the development of more precise quantum sensors and technologies. Gaussian Quantum Fisher Information’s Even-Odd Decomposition This connection, published in Quantum Science and Technology, offers a novel approach to understanding and potentially improving data limitations in quantum technologies. The study specifically focuses on splitting the Gaussian quantum Fisher information into “even” and “odd” components; this division isn’t arbitrary, but reflects fundamental geometric properties. On pure-state manifolds, the researchers found the even contribution vanishes entirely, while the odd component aligns with the quantum Fisher information derived from the natural metric on the Siegel upper half-space, directly revealing a geometric basis for pure-Gaussian metrology. This also provides a way to express the quantum Fisher information using the graphical representation of pure Gaussian states and its parameters. The research clarifies how different types of quantum operations impact these components; for evolutions generated by passive Gaussian unitaries, specifically orthogonal symplectics, the odd quantum Fisher information disappears, with thermometric parameters contributing solely to the even sector in a predictable spectral form. The team also derived a state-dependent lower bound on the even quantum Fisher information, linked to the rate of purity change within the system. Applications to unitary sensing, comparing beam splitters to

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Ytterbium atoms unlock quantum boost to 60-second magnetic coherencequantum-computing

Ytterbium atoms unlock quantum boost to 60-second magnetic coherence

Researchers affiliated with the Hefei National Research Center for Physical Sciences at the Microscale and the University of Science and Technology of China have achieved a spin coherence time of 60 seconds using ytterbium atoms, a duration that significantly exceeds typical cold-atom systems and promises more sensitive magnetic field sensors. The comagnetometer utilizes both isotopes of ytterbium, 171Yb (spin-1/2) and 173Yb (spin-5/2), jointly trapped within an optical lattice occupying approximately 160 lattice sites; vector and tensor light shifts are suppressed through polarization control and a Schrödinger cat state, respectively. This setup enables simultaneous Ramsey interferometry on both isotopes and achieves a magnetic noise suppression factor exceeding 3 x 10^4, while determining the ratio of nuclear magnetic moments to 4 parts per million precision. The results establish a new platform for spin-based sensing and may open pathways toward quantum-enhanced searches for physics beyond the Standard Model. Ytterbium Isotopes Enable Long-Coherence Comagnetometry A spin coherence time of 60 seconds achieved using ytterbium atoms represents a considerable advancement in cold-atom comagnetometry and promises enhanced sensitivity for magnetic field sensors. Researchers affiliated with the Hefei National Research Center for Physical Sciences at the Microscale and the University of Science and Technology of China in Hefei demonstrated this extended coherence by jointly trapping the isotopes ytterbium-171 and ytterbium-173 within an optical lattice, a configuration that suppresses magnetic noise and enables precise measurements. This achievement surpasses typical cold-atom coherence times. The team’s approach specifically addresses decoherence induced by light shifts, a common obstacle in utilizing cold atoms for precision measurements. The comagnetometer’s design relies on the distinct spin properties of the two ytterbium isotopes; 171Yb possesses a spin of 1/2, whil

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Virginia Team Measures 3dB Squeezing on a Photonic Chipquantum-computing

Virginia Team Measures 3dB Squeezing on a Photonic Chip

Integrating the generation and measurement of squeezed light onto a single photonic chip previously presented a key challenge due to conflicting material requirements. Haoran Chen of the University of Virginia and colleagues have, for the first time, fully integrated squeezed light generation, routing, and balanced homodyne detection on a single chip using heterogeneous integration. This novel chip design overcomes a longstanding obstacle in quantum photonics by combining light generation and detection. Squeezed light, which enhances precision in measurements, demands materials that both preserve quantum properties and efficiently absorb light for detection; these needs previously required separate components. The design uses a silicon nitride chip combining a light-generating microcavity with photodiodes, achieving approximately 3 decibels of squeezing across 34 quantum modes. Squeezed light, a special state of light where the uncertainty in one property is reduced to enhance measurement sensitivity, is vital for applications like quantum sensing and advanced information processing. Creating and measuring squeezed light previously required separate components due to conflicting material needs; generating it demands materials that preserve quantum properties, while detecting it requires efficient light absorption. This integrated system provides a scalable architecture for quantum technologies, but questions remain regarding the long-term stability and potential for scaling up the number of entangled modes. Integrated quantum microcomb achieves scalable 3 dB squeezing of light Squeezed light measurements now demonstrate 3 dB of squeezing across a two-mode quantum microcomb comprising 34 quantum modes, a substantial improvement over previous systems. Previously, achieving this level of squeezing necessitated a trade-off between preserving delicate quantum states and efficiently detecting photons, limiting scalability. The integrated photonic chip, fabricated using he

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Columbia hosted a workshop to connect quantum research with industryquantum-computing

Columbia hosted a workshop to connect quantum research with industry

Columbia University hosted its first Quantum Industry and Investor Workshop on August 10, indicating a new effort to translate a century of quantum research into practical applications. The event brought together industry leaders and 37 Columbia faculty members comprising the Columbia Quantum Initiative, experts in areas from quantum materials to networking. “These discussions are critical, especially now,” said Sharon Sputz, associate vice president of research initiatives and development at Columbia Research, emphasizing the need to combine university innovation with industry to advance quantum technologies. Participants explored collaborations focused on quantum networking, security, and sensing, and plans for continued conversations are already underway. Columbia Quantum Initiative Showcases Research & Industry Alignment Columbia University’s Quantum Initiative comprises 37 faculty members, a broad internal base of expertise spanning quantum materials, photonics, computing, networking, and sensing. The event was not simply a presentation of findings; it signaled a proactive effort to forge partnerships crucial for advancing the field, according to university leaders. Attendees explored potential collaborations focused on quantum networking, security protocols, and advanced sensing technologies, areas where current classical systems are reaching their limits. Roundtable discussions centered on practical implementation, including shared laboratory models and streamlined technology transfer processes, reflecting a focus on overcoming hurdles to market entry. Participants also voiced interest in post-quantum cryptography, a critical area for safeguarding data against future quantum-powered attacks. “This workshop was a phenomenal opportunity to receive input from industry leaders that will help shape Columbia’s quantum research projects, inform our quantum education priorities, and expedite the development and adoption of new quantum technologies for real-world

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Quantum Sensing Leverages ML to Track Three-Level System Phasequantum-computing

Quantum Sensing Leverages ML to Track Three-Level System Phase

Researchers affiliated with the Dipartimento di Fisica e Astronomia ”Ettore Majorana”, Università di Catania, Italy have successfully trained a multi-layer perceptron (MLP) to estimate the plaquette phase within a three-level system, demonstrating a new method for extracting information using artificial intelligence. The team utilized STImulated Raman Adiabatic Passage (STIRAP) population transfer efficiencies as the data source for the machine learning model, establishing a direct link between a specific quantum control technique and AI-driven analysis. This plaquette phase profoundly affects system dynamics by breaking coherent population trapping and inducing a non-trivial phase dependence, according to the work. The results highlight how combining coherent control and machine learning enables effective phase identification, potentially opening new perspectives for quantum technologies, specifically quantum sensing applications including synthetic gauge fields. Plaquette Phase Impacts Coherent Population Trapping The subtle interplay of quantum phases can dramatically alter system behavior, and recent work demonstrates this with the identification of a phase in three-level quantum systems that profoundly affects the system dynamics, breaking coherent population trapping. The team’s findings reveal that accurately estimating this plaquette phase is now possible through a combination of established quantum control methods and machine learning. STIRAP is a well-established technique for efficiently moving quantum populations between states, but the presence of the plaquette phase introduces complexities. The researchers discovered that the efficiency of STIRAP is affected by the phase, creating a measurable signature that a machine learning algorithm can interpret. Specifically, a multi-layer perceptron (MLP), a type of machine learning, was successfully trained to estimate the plaquette phase, demonstrating a novel way to extract information from quantum systems us

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Florida State University Launches Florida’s First Graduate Certificate in Quantum Information Science & Technologyquantum-computing

Florida State University Launches Florida’s First Graduate Certificate in Quantum Information Science & Technology

Florida State University Launches Florida’s First Graduate Certificate in Quantum Information Science & Technology Florida State University (FSU) has announced the launch of Florida’s first formal graduate credential in quantum information science and engineering: the Graduate Certificate in Quantum Information Science & Technology (QIST). Administered by the FSU Quantum Initiative, the 14-credit-hour interdisciplinary program is accepting applications through October 1, 2026, for its inaugural Spring 2027 enrollment cohort. The program bridges departments across the FSU College of Arts and Sciences and the FAMU-FSU College of Engineering—including Physics, Chemistry & Biochemistry, Computer Science, Mathematics, Materials Science & Engineering, Electrical & Computer Engineering, and Mechanical & Aerospace Engineering—to train graduate students and industry professionals across quantum materials, low-temperature device packaging, and quantum algorithm design. [ FSU QIST Graduate Certificate Ecosystem ] │ ┌─────────────────────────────────┼─────────────────────────────────┐ ▼ ▼ ▼ Core Academic Curriculum Specialized Research Facilities Industry & Center Networks • Mandatory Quantum Computing. • National MagLab (High Fields). • Commercial Partnerships (IonQ). • 3 Advanced Technical Electives. • Interdisciplinary Research Bldg. • Hardware Integration (Qblox, Keysight). • QSE Research Seminars. • Cleanroom & Cryogenic Dilution. • Quantum Software Labs (Amazon). Program structure and institutional research assets include: Curriculum Requirements: A 14-credit-hour framework comprising a mandatory core course in Quantum Information and Computing (3 credits), three specialized STEM electives (9 credits), and two semesters of the Quantum Science & Engineering Seminar (2 credits). Research Infrastructure Access: Enrolled students gain direct access to the National High Magnetic Field Laboratory (MagLab) and the newly constructed Interdiscip

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T-SQUARED Begins Construction on Infleqtion’s Quantum Innovation Centre in Oxfordquantum-computing

T-SQUARED Begins Construction on Infleqtion’s Quantum Innovation Centre in Oxford

T-SQUARED Begins Construction on Infleqtion’s Quantum Innovation Centre in Oxford Specialized engineering firm T-SQUARED has commenced construction on a new Quantum Innovation Centre at Oxford Technology Park for neutral-atom quantum technology company Infleqtion (NYSE: INFQ). The facility will triple the capacity of Infleqtion’s UK operations, expanding its research, manufacturing, and systems integration infrastructure for neutral-atom quantum computing, quantum sensing, and precision timing platforms. Following the completion of the facility design phase, T-SQUARED deployed autonomous construction layout robotics—printing millimetric architectural schematics directly onto the site floor—to accelerate physical buildout. The new infrastructure will support Infleqtion UK’s commercial scaling, system manufacturing, and talent recruitment across quantum physics, photonics, and software engineering. [ Infleqtion UK Quantum Innovation Centre Expansion ] │ ┌─────────────────────────────────────┼─────────────────────────────────────┐ ▼ ▼ ▼ Neutral-Atom Quantum Computing Precision Quantum Sensing Quantum Timing & PNT • Scalable Neutral-Atom QPU R&D. • Quantum RF Sensing Initiatives. • Tiqker™ Optical Atomic Clock. • Subsystem Manufacturing Hub. • Defense & Aerospace Applications. • Autonomous Navigation Systems. • Direct Systems Integration. • Sovereign UK RF Capability. • Royal Navy Maritime Trials. The construction milestone follows Infleqtion’s initial announcement of the Oxford expansion, building on a decade of operations in the UK. Key UK milestones for Infleqtion include deploying the country’s first operational 100-physical-qubit quantum computer to the National Quantum Computing Centre (NQCC) at Harwell, as well as executing sea trials of its Tiqker™ optical atomic clock aboard the UK Ministry of Defence’s Excalibur autonomous submarine. Led by T-SQUARED Director Connor McAleer and Infleqtion UK Managing Director Colin Sullivan MBE, the construction pr

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Measurement incompatibility in Bayesian multiparameter quantum estimationquantum-computing

Measurement incompatibility in Bayesian multiparameter quantum estimation

AbstractWe present a comprehensive and pedagogical formulation of Bayesian multiparameter quantum estimation. Within this framework, we analyse the role of measurement incompatibility and establish its quantitative effect on attainable precision. We achieve this by deriving upper bounds based on the pretty good measurement – a notion from hypothesis testing – combined with the evaluation of the Nagaoka-Hayashi lower bound. In general, we prove that, as in the many-copy regime of local estimation theory, incompatibility can at most double the minimum loss relative to the idealised scenario in which individually optimal measurements are assumed jointly implementable. Therefore, in practical situations, the latter may provide a sufficient and computationally efficient benchmark without solving the full optimisation problem. Our results, which we illustrate through applications of discrete phase imaging, phase and dephasing estimation, and qubit sensing, provide analytical and numerical tools for assessing ultimate precision limits and the role of measurement incompatibility in Bayesian multiparameter quantum metrology, including an open-source package for all the bounds discussed here.Popular summaryQuantum technologies can enhance the precision with which physical parameters are measured. However, when several parameters are estimated simultaneously, the measurements that are individually optimal for different parameters may be incompatible—impossible to implement simultaneously. Understanding the resulting loss of precision is a central problem in quantum metrology. Most previous results address this question in a local regime, where their validity is often contingent on the parameters already being approximately known. Here, we instead study measurement incompatibility within Bayesian quantum estimation, a global framework that explicitly incorporates prior knowledge and is particularly relevant when experimental data are limited. We show that the effect of measurem

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New York State Launches $60M RFP for Regional Quantum Technology Commercialization Hubsquantum-computing

New York State Launches $60M RFP for Regional Quantum Technology Commercialization Hubs

New York State Launches $60M RFP for Regional Quantum Technology Commercialization Hubs New York Governor Kathy Hochul has announced the launch of a competitive Request for Proposals (RFP) to establish up to four Regional Quantum Technology Commercialization Hubs across the state. Funded with $60 million allocated in the FY 2027 state budget and administered by Empire State Development’s Division of Science, Technology and Innovation (NYSTAR), the program will grant up to $15 million to each selected regional anchor to accelerate the commercialization of quantum computing, sensing, and secure communications research. The initiative expands upon New York’s $300 million investment in the Quantum Research and Innovation Hub at SUNY Stony Brook, establishing an integrated statewide ecosystem connecting academic laboratories, early-stage startups, and corporate partners. [ NYSTAR Statewide Quantum Commercialization Network ] │ ┌─────────────────────────────────────┼─────────────────────────────────────┐ ▼ ▼ ▼ Physical Hub Infrastructure Startup Incubation & Support Industry Pilot Execution • Lab & Specialty Testing Space. • Dedicated Quantum Accelerators. • Corporate Co-Development. • Device & Materials Fabrication. • Investor & Mentor Matchmaking. • Field Demonstrations & Pilots. • HPC & Quantum Hardware Access. • Shared Instrumentation & Tools. • IP Management & Licensing. Program specifications and operational mandates outlined in the Empire State Development RFP include: Grant Funding Allocation: Up to four non-profit or academic-led regional hubs (one per Regional Economic Development Council region) will each receive approximately $15 million for facility construction, laboratory expansion, and specialized machinery acquisition. Core Technological Scope: Each hub will maintain a primary specialization in a core domain—such as quantum processing, quantum sensing, or quantum networking—while offering shared open access to non-affiliate

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UChicago PME insight boosts potential of quantum biosensorsquantum-computing

UChicago PME insight boosts potential of quantum biosensors

University of Chicago Pritzker School of Molecular Engineering and University of Iowa researchers challenged a key assumption limiting the effectiveness of diamond-based biosensors. The team initially sought to reduce sensor toxicity within living cells, but instead discovered the source of performance-limiting energy level shifts known as zero-field splitting (ZFS). According to UChicago PME Assoc. Peter Maurer, the research resolves a longstanding discussion, demonstrating these shifts are caused not by cellular temperature, but by a surface effect on the diamond itself. This greater understanding promises more detailed readings of cellular activity. Silica Coating Stabilizes Diamond Quantum Sensors Diamond-based quantum sensors, encased in a silica coating, now provide a more stable signal within living cells, resolving a long-standing debate about the origin of performance-limiting energy shifts. Peter Maurer, co-corresponding author of the published work. “So when people observed ZFS shifts they assumed that these were caused by local temperature changes, i.e., caused by cellular activities.” Coating the sensors with silica not only lessened cellular stress but also dispersed electrons, effectively eliminating performance-hindering “spin noise.” This electron loss altered the charge within the diamond, prompting a re-evaluation of the underlying physics. Crucially, the silica coating suppressed the ZFS shifts, demonstrating the surface was the primary culprit; the cell’s temperature remained consistent regardless of the coating. Experimental data confirmed the unexpected finding. “We were measuring a 5-degree change over 30 minutes inside of the cell. It’s just not thermodynamically feasible,” said Uri Zvi, first author of the paper published in Advanced Materials. This discovery allows for more precise cellular readings, potentially enabling detailed monitoring of cellular processes, such as tracking a T cell’s differentiation or identifying cancerous changes.

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Infleqtion Reports Q2 2026 Results: Record Revenue Up 116% YoY, Raised Guidance to $43M, and $100M CHIPS Act LOIquantum-computing

Infleqtion Reports Q2 2026 Results: Record Revenue Up 116% YoY, Raised Guidance to $43M, and $100M CHIPS Act LOI

Infleqtion Reports Q2 2026 Results: Record Revenue Up 116% YoY, Raised Guidance to $43M, and $100M CHIPS Act LOI Infleqtion, Inc. (NYSE: INFQ) has announced its financial results for the second quarter ended June 30, 2026. The Louisville-based neutral-atom quantum computing and quantum sensing leader delivered record quarterly performance driven by 100% organic growth across its dual computing and sensing verticals. The table below summarizes key GAAP financial metrics for Q2 2026 compared with the prior quarter (Q1 2026) and the year-ago quarter (Q2 2025). Amounts in $M (except per share)Q2’2026Q1’2026Q2’2025% vs Q1’2026% vs Q2’2025Revenue$12.63$9.46$5.84+33.5%+116.3%Operating Expenses$32.49$31.72$11.56+2.4%+181.1%Operating Loss($30.64)($33.58)($10.07)-8.8%+204.3%Net Loss($25.47)($30.26)($8.85)-15.8%+187.8%Cash and Short-Term Investments$476.96*$488.10*$46.01*-2.3%+936.6% *Note: Cash and Short-Term Investments aggregates Cash and Cash Equivalents ($59.29M) and Current Available-for-Sale Securities ($417.67M), totaling $476.96M as of June 30, 2026. Adding non-current securities ($104.78M) and restricted cash brings total liquid capital reserves to $582.0 million (zero debt). Q2 balance includes a temporary $27.4 million working-capital benefit from collected stock option payroll taxes remitted in Q3. Historical baselines reflect QCR’s published figures. Financial Highlights & Raised FY 2026 Guidance Infleqtion generated record quarterly revenue of $12.63 million, representing a 116.3% increase year-over-year ($5.84M in Q2 2025) and a 33.5% sequential gain over Q1 2026 ($9.46M). Top-line expansion was entirely organic and derived 100% from quantum hardware, software, and sensing deployments. Operating expenses for the quarter totaled $32.49 million ($12.68M R&D, $19.82M SG&A, offset by $0.47M grant income). GAAP Net Loss was ($25.47) million, or ($0.12) per share, compared to ($8.85) million in Q2 2025. On a non-GAAP basis, Non-GAAP Loss from Operations s

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Infleqtion Reports Record Q2 Revenue, Raises 2026 Outlook as Quantum Commercialization Acceleratesquantum-computing

Infleqtion Reports Record Q2 Revenue, Raises 2026 Outlook as Quantum Commercialization Accelerates

Rising government investment and customer demand are accelerating Infleqtion’s commercial progress across quantum computing and sensing Record Revenue and Raised OutlookQ2 revenue of $12.6 million, up 116% year over year, 100% organic and entirely from quantum; 2026 revenue outlook raised to approximately $43 million  Strong Balance Sheet to Fund GrowthEnded Q2 with $582 million in cash, cash equivalents, restricted cash and available-for-sale securities and no debt. Results included a $27.4 million temporary working-capital benefit from payroll taxes collected but not remitted on stock-option exercises. We expect to remit the $27.4 million in Q3. Government Selection Validates Infleqtion’s Commercialization PathCommerce LOI provides for up to $100 million in proposed funding to advance commercialization following review of Infleqtion’s technology and roadmap Advancing Toward Utility-Scale Quantum ComputingOn track for 30 logical qubits in 2026; Illinois quantum computer planned for 2027 with a new architecture designed to scale through modular upgrades to more than 50 logical qubits Building the Quantum Computing Platform for EnergyEaton is using private-cloud access to Sqale for energy applications, while three DOE Genesis Mission projects span AI, nuclear applications and quantum sensing. LOUISVILLE, Colo.—(BUSINESS WIRE)–August 12, 2026—Infleqtion, Inc. (NYSE: INFQ) (“Infleqtion” or the “Company”), a global leader in quantum computing and quantum sensing powered by neutral-atom technology, today reported record second-quarter 2026 revenue of $12.6 million, up 116% year over year, and raised its full-year 2026 revenue outlook to approximately $43 million.  “Q2 was a record quarter for Infleqtion, and the pace of quantum commercialization is accelerating,” said Matt Kinsella, Chief Executive Officer of Infleqtion. “Governments are putting dates and dollars behind quantum, and we are building applications with customers now as they prepare for the ne

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Argonne Lab maps atomic flaws that cause silicon qubit errorsquantum-computing

Argonne Lab maps atomic flaws that cause silicon qubit errors

Argonne National Laboratory researchers have mapped atomic-level flaws that directly impact the performance of silicon spin qubits, a promising platform for scalable quantum computing. The team used the Chicago Quantum Computing Testbed, the first full-stack, solid-state qubit testbed at a U.S. research institution, to analyze industrial-grade silicon wafers and pinpoint the origin of qubit failure. Their study revealed that random atomic-scale fluctuations within the silicon quantum well layers are the primary cause of variability in valley splitting, a critical energy difference affecting electron stability. This work, the researchers state, “transforms valley splitting from an unexplained obstacle into a materials engineering challenge with clear paths toward improved silicon qubits.” Atomic-Scale Disorder Correlates with Valley Splitting Variability Silicon spin qubits offer a compelling route to scalable quantum computing because they leverage established semiconductor manufacturing techniques. The research institution has pinpointed a critical factor limiting their performance: atomic-scale disorder within the silicon quantum well layers. Researchers demonstrated a direct correlation between these material imperfections and the variability of valley splitting, a quantum property impacting electron stability and qubit fidelity. The team employed a sensitive electrical spectroscopy method to map valley splitting across individual quantum dots positioned within the silicon quantum well. By shifting the quantum dot’s location and measuring the resulting changes in valley splitting, they generated a nanoscale map revealing random atomic-scale fluctuations as the dominant source of variability. These fluctuations, occurring within the alloyed quantum well, directly influence the energy difference between electron valley states; a smaller split increases the risk of electrons leaking into unwanted states, introducing errors into calculations. This detailed mapping wa

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Pasqal and Swiss Quantum Initiative sponsor CERN’s quantum skills trainingquantum-computing

Pasqal and Swiss Quantum Initiative sponsor CERN’s quantum skills training

Thirty-four students from over 30 nationalities recently converged at CERN for the Quantum Materials Hackathon, applying quantum computing to challenges similar to those faced by large-scale scientific infrastructure. The event, hosted by CERN and the Open Quantum Institute, tasked participants with solving real-world problems using quantum hardware and simulators, guided by experts from both industry and research. Quantum materials were the focus, given their critical role in technologies like the superconducting magnets and sensors essential to CERN’s particle accelerators. “Quantum hackathons allow students to apply quantum computing to solve real-world problems,” said Julia Thiele, an Open Quantum Initiative Advisory Committee member, emphasizing the need for a skilled workforce to utilize increasingly accessible quantum resources. Participants moved beyond theoretical exercises, directly applying quantum computing resources to challenges proposed by industry and research partners; this hands-on approach distinguishes the event from more conventional academic training. Each team tackled a specific problem, receiving mentorship throughout the process from experts at organizations like Pasqal and the University of Geneva, fostering a direct link between emerging talent and established quantum technology developers. Funding for the hackathon came from both Pasqal and the Swiss Quantum Initiative, demonstrating investment in practical quantum education beyond basic research. The selection of quantum materials as the central focus reflects CERN’s own reliance on these technologies; superconducting magnets and advanced sensors integral to the laboratory’s particle accelerators depend on their unique properties, suggesting a strategic alignment between skills development and infrastructure improvement. This focus extends beyond fundamental physics, with challenges also addressing applications in areas like clean energy, pharmaceutical development, and responsible sourc

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Programmable Heisenberg-limit sensor from a nonlinear quantum energy pumpquantum-computing

Programmable Heisenberg-limit sensor from a nonlinear quantum energy pump

--> Quantum Physics arXiv:2608.10308 (quant-ph) [Submitted on 10 Aug 2026] Title:Programmable Heisenberg-limit sensor from a nonlinear quantum energy pump Authors:Yang Peng View a PDF of the paper titled Programmable Heisenberg-limit sensor from a nonlinear quantum energy pump, by Yang Peng View PDF HTML (experimental) Abstract:We introduce a programmable Heisenberg-limited bosonic quantum sensor based on a nonlinear quantum energy pump, implemented with a Kerr-nonlinear resonator coupled to multiple high-Q microwave terminal resonators. For parameter estimation encoded in an arbitrary number-conserving Hamiltonian acting on the terminal modes, we analytically construct optimal sensing protocols that attain the maximal quantum Fisher information, including initial-state loading, probe preparation, and readout. For diagonal multiparameter signals, we further show that the full phase-sensing quantum Fisher information matrix can be obtained from correlations of locally measured physical terminal works, providing a signal-free calibration of the metrological resource. We numerically demonstrate the construction and its robustness using realistic circuit-QED parameters while including experimentally relevant imperfections. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2608.10308 [quant-ph]   (or arXiv:2608.10308v1 [quant-ph] for this version)   https://doi.org/10.48550/arXiv.2608.10308 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Yang Peng [view email] [v1] Mon, 10 Aug 2026 23:30:39 UTC (1,234 KB) Full-text links: Access Paper: View a PDF of the paper titled Programmable Heisenberg-limit sensor from a nonlinear quantum energy pump, by Yang PengView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph < prev   |   next > new | recent | 2026-08 References & Citations INSPIRE HEP NASA ADSGoogle Scholar Semantic Scholar export BibTeX citatio

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Utah Governor Spencer Cox Signs Executive Order Launching Statewide Quantum Initiativequantum-computing

Utah Governor Spencer Cox Signs Executive Order Launching Statewide Quantum Initiative

Utah Governor Spencer Cox Signs Executive Order Launching Statewide Quantum Initiative Utah Governor Spencer J. Cox has signed Executive Order 2026-06, formally launching the Utah Quantum Initiative to establish the state as a regional and national hub for quantum research, advanced manufacturing, and commercialization. Led by the Governor’s Office of Economic Development (GOED) in partnership with the Nucleus Institute, the initiative integrates quantum technology into Utah’s long-term economic development strategy and establishes a statewide Quantum Coordination Council to align policy, capital, and academic research. The executive order aligns Utah’s regional assets with federal priorities outlined in Executive Order 14413 (Ushering in the Next Frontier of Quantum Innovation). Capitalizing on the state’s existing strengths in photonics, quantum materials, semiconductor fabrication, and high-performance computing (HPC) simulation, Utah aims to position itself as a specialized center for quantum hardware integration—including cryogenic control electronics, advanced packaging, and interconnect fabrication. [ Utah Quantum Initiative Strategic Alignment ] │ ┌─────────────────────────────────────┼─────────────────────────────────────┐ ▼ ▼ ▼ Hardware Integration & HPC Defense & Testing Ecosystem Commercial Life Sciences • Semiconductor & Photonics Base. • Hill AFB & Dugway Proving Ground. • Quantum Molecular Simulation. • Cryogenic Control Electronics. • Quantum Sensing & Timing Testbeds. • Drug Discovery Applications. • High-Performance Quantum Sim. • Secure Quantum Communications. • Biotech Enterprise Acceleration. The initiative outlines six core strategic priorities: Hardware Integration Leadership: Leveraging academic research in quantum sensing, materials, and photonics alongside Utah’s semiconductor manufacturing and HPC infrastructure to advance classical-quantum hybrid workflows. Workforce Development: Collaborating with Talent Ready Utah to

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Infleqtion Selected by Eaton to Support Research Advancing Quantum Computing for U.S. Grid Resiliencequantum-computing

Infleqtion Selected by Eaton to Support Research Advancing Quantum Computing for U.S. Grid Resilience

Multi-year, multi-million-dollar program focused on leveraging quantum computing to enhance resilience of U.S. electrical grid and reduce economic impact of power outages. LOUISVILLE, CO | August 10, 2026 | Infleqtion, a global leader in quantum computing and quantum sensing powered by neutral-atom technology, announced that Eaton, a global power management company, selected Infleqtion to support new research evaluating how quantum computing can improve the resilience of the U.S. electrical grid. As part of an Eaton award from the Air Force Research Laboratory (ARFL), Infleqtion received a subcontract to apply quantum computing hardware to support grid contingency analysis. Infleqtion and Eaton aim to advance reliability analysis used by utilities to predict and prevent cascading power outages. “Grid reliability is a large-scale optimization challenge that pushes the limits of today’s classical systems,” said Pranav Gokhale, CTO at Infleqtion. “This program allows us to explore how quantum algorithms and error-corrected quantum hardware could support faster, more accurate analysis of grid vulnerabilities to improve how we evaluate failures, reduce blackout risk, and strengthen critical U.S. infrastructure.” Contingency analysis is one of the most important tools for determining how power systems respond when key components, such as transmission lines or generators, fail unexpectedly. As power grids become more interconnected and more dependent on real-time data, the number of “what-if” scenarios grow so large that classical computing methods struggle to analyze them efficiently. Classical analysis relies on approximate methods that are often insufficient for robust risk management. This makes contingency analysis an ideal test case for quantum computing, which may evaluate complex combinations more effectively using quantum interference algorithms. Why Grid Reliability Matters for National Security and the Economy The U.S. electrical grid is increasingly stressed. E

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