Quantum Sensing & Metrology: Atomic Clocks & Quantum Sensors
Quantum sensing news: quantum metrology, atomic clocks, quantum gravimetry, magnetometers. Quantum imaging & positioning applications.
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.
quantum-computingInfleqtion: Quantum Hype Meets Real Business
Yiannis Zourmpanos15.32K FollowersFollow5ShareSavePlay(10min)Comments(4)SummaryInfleqtion generated $32.5 million in revenue in FY2025, growing roughly 3x since 2023, driven primarily by sensing and timing products.Around two-thirds of revenue comes from sensing applications like atomic clocks and RF systems, with computing contributing the remaining portion.The company raised $516 million in 2026, significantly strengthening its balance sheet and reducing near-term dilution and survival risks.Infleqtion currently operates 1,600 physical qubits and 12 logical qubits, targeting 100+ logical qubits by the 2028 commercialization stage.Total addressable markets exceed $160 billion across computing and sensing, where even sub-0.1% penetration implies $100–150 million revenue potential. Just_Super/iStock via Getty Images Investment Thesis The market still treats Infleqtion, Inc. (INFQ) as a distant quantum computing bet. I think that misses the real opportunity. This is an already profitable company developing essential technology in an era where everythingThis article was written byYiannis Zourmpanos15.32K FollowersFollowHi, I'm Yiannis. Spotting winners before they break out is what I do best.Experience: Previously worked at Deloitte and KPMG in external/internal auditing and consulting. Education: Chartered Certified Accountant, Fellow Member of ACCA Global, with BSc and MSc degrees from U.K. business schools. Investment Style: Spotting high-potential winners before they break out, focusing on asymmetric opportunities (with at least upside potential of 3-5X outweighing the downside risk). By leveraging market inefficiencies and contrarian insights, we seek to maximize long-term compounding while protecting against capital impairment.Risk management is paramount—we seek a strong margin of safety to protect against capital impairment while maximizing long-term compounding. Our 2-3 year investment horizon allows us to ride out volatility, ensuring that patience, disciplin
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quantum-computingOpen Rank Faculty Position - Quantum Science and Technologies - Sorbonne University Abu Dhabi
Application deadline: Wednesday, June 10, 2026Employer web page: https://www.sorbonne.ae/vacancies/open-rank-faculty-position-quantum-physicsJob type: OtherProfessorshipApplications will remain open until the position is filled. Submitted applications will be reviewed on a rolling basis, with the evaluation process beginning after a four‑week period. We seek an established researcher in quantum science and technologies with a strong and well-developed research track record, capable of leading and expanding SUAD’s research activities in this area. The successful candidate should demonstrate sufficient academic maturity to sustain an independent research program while contributing to the development of quantum-related teaching. The successful candidate will provide strategic leadership and academic excellence in teaching, research, and service within the Department and across Sorbonne University Abu Dhabi (SUAD). As an accomplished scholar with a strong and internationally recognized research record in quantum technologies, the appointee is expected to develop an ambitious research program in theoretical physics and/or computer science, with a focus on quantum information and quantum technologies. Research activities may span the key pillars of quantum technologies—including quantum computing, quantum simulation, quantum metrology, and quantum communication. The appointee will collaborate closely with Sorbonne University and leading research laboratories such as LKB and LIP6 and will receive the resources needed to build and consolidate a Quantum Research Group at SUAD, including access to dedicated funding and co funding mechanisms for doctoral fellowships, as well as opportunities to host visiting scholars. One of the roles of the Quantum Research Group will be to foster collaborations within the UAE and with prominent global partners, supporting the growth of national and regional quantum ecosystems and positioning SUAD as a hub for excellence in qua
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quantum-computingClassical Data Limits Quantum Computing’s Broad Impact
Haimeng Zhao is addressing a fundamental hurdle preventing widespread adoption of quantum computing: efficiently integrating classical data into quantum algorithms. Despite advances in experimental capabilities, demonstrating broad societal impact beyond niche areas like quantum materials simulation and cryptanalysis remains a significant challenge, largely due to the difficulty of accessing real-world, classically-generated data in a quantum format, a problem known as the data loading problem. Their new framework, termed quantum oracle sketching, offers a solution by processing data as a continuous stream and applying small quantum rotations to incrementally build an accurate quantum oracle. “We live in an effectively classical world, dammit, and maybe classical computers and AI already suffice for most of our problems,” Zhao playfully suggests, adapting a famous quote from Richard Feynman, highlighting the need to bridge the gap between classical data and quantum processing. Data Loading Bottleneck Hinders Broad Quantum Advantage While quantum computers excel at simulating quantum materials and certain cryptographic tasks, these applications are inherently quantum or possess mathematical structures easily exploited by quantum algorithms; extending this advantage to everyday problems proves far more difficult. The core issue stems from the fact that most modern computation relies on processing vast amounts of noisy, classical data, the very fuel powering the success of machine learning and artificial intelligence. This data, originating from the macroscopic classical world, doesn’t naturally lend itself to the delicate, specialized structures quantum computers require. Imagine attempting to simultaneously read a million movie reviews; the conventional, sequential access of classical computers presents a bottleneck for quantum systems. To address this, Haimeng Zhao has developed a framework called “quantum oracle sketching,” which allows for optimal access to classi
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quantum-computingOverview of 15+ Key Quantum Sensing Companies – 2026
Insider Brief The quantum sensing sector has seen substantial investment and accelerating commercialization in recent years. Growth is driven by multiple converging factors such as increased government investment in quantum technologies, commercial viability of early-stage quantum sensor prototypes, and growing demand across defense, medical, and environmental sectors. Key drivers include enhanced precision requirements in navigation […]
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quantum-computingUniversity of Houston Hosts Quantum Symposium with Industry and IonQ
Insider Brief The University of Houston hosted a quantum symposium with IonQ and industry leaders as part of its Quantum Initiative to align research, workforce development, and industry collaboration. The initiative builds on a statewide effort to advance quantum computing, materials, networks, and workforce development while positioning UH as a regional innovation hub. Speakers highlighted a projected global shortage of quantum talent and emphasized the need for universities to scale education and training to meet industry demand. PRESS RELEASE — As part of its Quantum Initiative, the University of Houston convened global industry leader IonQ, national laboratory partners and energy executives for the symposium, “Powering the Future: Quantum Technologies in the Energy Economy,” advancing its efforts to align research, talent and industry collaboration in quantum technologies. The initiative builds on momentum from the Texas Quantum Summit, a statewide alliance where UH and seven other universities identified four strategic pillars shaping the field: quantum computing, quantum materials and devices, quantum networks and workforce development. UH’s Quantum Initiative aligns its expertise with these statewide and national priorities, positioning the institution as a primary engine for innovation in the region. “The University of Houston has long been recognized for its leadership in energy research and its deep partnerships with industry,” said Claudia Neuhauser, vice president and vice chancellor for research at UH. “As energy systems evolve to incorporate advanced computation, new materials and digital infrastructure, quantum technologies will become part of that future landscape.” Building a Workforce for a Rapidly Expanding Industry Industry leaders at the symposium emphasized the urgency of preparing talent at scale. Industry data from IonQ suggests the global quantum sector could require as many as 850,000 workers within the next decade; however, current projec
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quantum-computingCritical Entanglement Dynamics at Dynamical Quantum Phase Transitions
--> Quantum Physics arXiv:2604.07714 (quant-ph) [Submitted on 9 Apr 2026] Title:Critical Entanglement Dynamics at Dynamical Quantum Phase Transitions Authors:Kaiyuan Cao, Mingzhi Li, Xiang-Ping Jiang, Shu Chen, Jian Wang View a PDF of the paper titled Critical Entanglement Dynamics at Dynamical Quantum Phase Transitions, by Kaiyuan Cao and 4 other authors View PDF HTML (experimental) Abstract:We investigate the critical behavior of momentum-space entanglement entropy at dynamical quantum phase transitions (DQPTs) in translationally invariant two-band insulators and superconductors. By analyzing the Su-Schrieffer-Heeger model, the quantum XY chain, and the Haldane model, we establish that the geometric DQPT condition $\hat{\textbf{d}}_{\textbf{k}}^{i} \cdot \hat{\textbf{d}}_{\textbf{k}}^{f} = 0$ manifests as exact degeneracy $p_{\textbf{k}^{*}}=1/2$ in the entanglement spectrum defined with respect to the post-quench eigenbasis, yielding a maximal momentum-space entropy of $\ln 2$. In one dimension, critical momenta appear as isolated points, whereas in two dimensions they form continuous one-dimensional manifolds, reflecting the dimensional dependence of the underlying critical structure. Importantly, alternative bipartitions such as the sublattice basis produce qualitatively different behavior: the entropy becomes explicitly time-dependent and attains a minimum at DQPT critical times, underscoring the essential role of basis selection. Our results establish that momentum-space entanglement entropy, when evaluated in the appropriate eigenbasis, provides a robust, time-independent diagnostic of DQPTs and offers a unified geometric perspective linking entanglement, topology, and non-equilibrium criticality. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2604.07714 [quant-ph] (or arXiv:2604.07714v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2604.07714 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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quantum-computingUnleashing the Advantage of Quantum AI
As experimental capabilities advance rapidly, the quantum computing community faces a critical elephant in the room: What will these quantum machines eventually be useful for? Will they deliver the promised broad societal impact, or will they remain highly specialized devices for exotic tasks known only to the experts? The elephant in the room Despite decades of effort, conclusive evidence of large quantum advantage in real-world applications remains confined to a few niche domains, such as simulating quantum materials and cryptanalysis. These problems are either inherently quantum to begin with, or they possess specialized mathematical structure that quantum algorithms can easily exploit. But it seems unlikely that such structures appear broadly in everyday life. Indeed, most applications of modern computation hinge on the processing of massive, noisy classical data, generated at an unprecedented pace across society. That is the driving force behind the overwhelming success of machine learning and AI. Since the data originates from the macroscopic classical world, there is no obvious reason it should exhibit the delicate, specialized structures that quantum computers require. To playfully adapt Richard Feynman’s famous quote: We live in an effectively classical world, dammit, and maybe classical computers and AI already suffice for most of our problems. (For those unfamiliar, Feynman originally quipped: “Nature isn’t classical, dammit, and if you want to make a simulation of nature, you’d better make it quantum mechanical.”) The central challenge To truly unlock the power of a quantum computer, quantum algorithms typically need to access data in quantum superposition, processing many different samples simultaneously in different branches of the quantum multiverse. To use technical jargon, this is called querying a quantum oracle. But in reality, the classical data samples that we want to process are generated from everyday activities in a classical world, and we ca
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quantum-computingInfleqtion and NASA Deliver Next-Generation Quantum Capabilities to International Space Station
Insider Brief Infleqtion is providing upgraded quantum hardware to NASA’s Cold Atom Laboratory on the ISS via the NG-24 mission to enhance quantum sensing and ultracold atom experiments. The upgrade enables dual-species quantum gases, record ultracold temperatures, and extended in-orbit experiments under microgravity conditions. Infleqtion has a proven space-based quantum track record, supporting NASA since 2018 and contributing to quantum gravity sensing and commercial space initiatives. PRESS RELEASE — Infleqtion (NYSE: INFQ), a global leader in quantum computing and quantum sensing powered by neutral-atom technology, is providing upgraded quantum hardware to the International Space Station (ISS) via NASA’s Northrop Grumman-24 (NG-24) cargo mission. The upgraded physics package for the Cold Atom Laboratory (CAL), developed in collaboration with NASA’s Jet Propulsion Laboratory (JPL), may enable record-breaking in-orbit atom populations, record ultracold temperatures, and facilitate creation and study of simultaneous dual-species quantum gases. These advances could unlock new experimental capabilities with the potential to improve navigation, strengthen Earth monitoring, and support critical infrastructure resilience. “Space gives us a uniquely stable environment to push quantum systems beyond what is possible on Earth,” said Dr. Dana Anderson, founder and Chief Science Officer at Infleqtion. “By advancing ultracold atom sensing in orbit, we are not only exploring fundamental physics, but also helping lay the groundwork for quantum technologies that can improve how we navigate, monitor our planet, and protect critical systems in the years ahead.” The microgravity environment allows quantum systems to operate under conditions that are difficult to replicate on Earth, allowing experiments to run longer with fewer external disturbances. These unique conditions allow scientists to run experiments that can improve the precision of sensing technologies used to bette
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quantum-computingMagnetic Signals from Single Cells Reveal 89 μT Detection Using Quantum Sensors
A new approach to single-cell analysis combines optical tweezers with quantum magnetometry. Jun Yin and colleagues at University of Science and Technology of China demonstrate a magnetic detection strategy utilising nitrogen-vacancy centres to both trap and measure individual cells within a microfluidic channel. The method circumvents limitations inherent in fluorescence detection, such as blinking and photobleaching, and successfully detected a magnetic signal from a single cell labelled with magnetic nanoparticles. This platform represents a key advancement towards high-precision, non-optical single-cell analysis and offers a promising avenue for investigating cellular activities in complex biological environments. Single-cell magnetic field detection via integrated optical tweezers and quantum magnetometry A magnetic signal of 89 μT was detected from a single cell, exceeding the 3.9 μT noise floor of unlabeled cells. This represents a key improvement in magnetic sensitivity previously unattainable with single-cell manipulation, offering a substantial leap forward in the field of biophysics. Traditional methods for analysing single cells often rely on optical techniques, but these are hampered by the inherent limitations of fluorescence, including signal degradation due to photobleaching, the irreversible destruction of fluorescent molecules, and autofluorescence, the emission of light from cellular components themselves which obscures the desired signal. These effects limit the duration and accuracy of observations, particularly in complex biological samples. The integration of optical tweezers with nitrogen-vacancy (NV) centre quantum magnetometry provides a novel solution by enabling spin-based magnetic sensing, effectively bypassing these optical constraints. The ability to detect such a small magnetic field, originating from a single cell, opens up possibilities for studying subtle changes in cellular behaviour and identifying rare cell populations with
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quantum-computing09.04.2026 Quantum Computing Bringing back a phase from the many-body world Modeling an experiment on a single qubit is relatively straightforward. You prepare a state, ...
Modeling an experiment on a single qubit is relatively straightforward. You prepare a state, let it evolve, and read it out. But once several particles start interacting, things quickly become much more complex. Even models that look simple on paper can become hard to solve. Researchers at QuTech now show a practical way to step into that many-body world without losing the ability to measure what happens. Using a 2×4 array of gate-defined quantum dots, they perform spectroscopy of up to eight interacting spins with a protocol that maps many-body dynamics back onto a clean, qubit-style readout. The results are published in Science.The core challenge is not that many-body systems are random, but that they can be opaque. The relevant information is global, encoded in collective eigenstates and energy splittings that are hard to access directly. The team’s solution is many-body Ramsey interferometry. They start where control is easiest, venture into the interacting regime where the physics is richest, and then return with a measurable phase. As first author Daniel Jirovec puts it, “we tried to chart a course to connect the ‘qubit world’ to the many-body regime, because that’s where the interesting physics lives.”Engineering eight spins into one controlled many-body system Concretely, the experiment begins in a setting where each spin behaves like an individual qubit, that the researchers can reliably prepare and measure. They then slowly turn on the couplings between neighbouring spins so the spins stop acting independently and start behaving as one connected system. In this way, they can create a controlled superposition and maintain it up to the many-body regime, effectively preparing the system in two different configurations at once. The two configurations have different energies, which implies that one accumulates phase faster than the other. When the researchers slowly turn the couplings back down again, they return to the simple readout setting, where those two v
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quantum-computingDirectional and correlated optical emission from a waveguide-engineered molecule with local control
--> Quantum Physics arXiv:2604.06410 (quant-ph) [Submitted on 7 Apr 2026] Title:Directional and correlated optical emission from a waveguide-engineered molecule with local control Authors:Clara Henke, Thomas Wilkens Sandø, Vasiliki Angelopoulou, Lena Maria Hansen, Alexey Tiranov, Oliver August Dall'Alba Sandberg, Zhe Liu, Leonardo Midolo, Nikolai Bart, Arne Ludwig, Anders Søndberg Sørensen, Peter Lodahl, Cornelis Jacobus van Diepen View a PDF of the paper titled Directional and correlated optical emission from a waveguide-engineered molecule with local control, by Clara Henke and 11 other authors View PDF Abstract:Radiative coupling between quantum emitters leads to a range of spectacular emission phenomena. Dicke studied the foundations of collectively enhanced and suppressed decay, commonly referred to as super- and subradiance. Collective effects can further result in directionality of the emission, thus offering a complimentary implementation of chiral quantum optics. Waveguide quantum electrodynamics (QED) allows coupling between spatially separated emitters, enabling selective driving. In this work, we control the emission direction for a pair of quantum dots embedded in a bidirectional photonic crystal waveguide offering independent electrical tuning. Notably the emitters are 13 \micro m apart, which corresponds to 26 effective wavelengths, but are nevertheless radiatively coupled. The directionality arises from a dispersive dipole-dipole interaction, which shifts the energy of the collective states, so that the emitter pair effectively forms an artificial molecule. We show that the emission direction can be switched from left- to rightwards by manipulating the relative driving phase while collectively exciting the emitters. In addition, we observe directional photon statistics under continuous driving, with, for example, single photons detected on one output port, and photon pairs on the other. With pulsed excitation, both emitters are fully inverted and cor
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quantum-computingInfleqtion Announces 2026 Revenue Guidance of $40 Million
Outlook reflects growing customer demand for quantum sensing and computing solutions LOUISVILLE, Colo.–April 8, 2026– Infleqtion (NYSE: INFQ) (the “Company”) a global leader in quantum computing and quantum sensing powered by neutral-atom technology, today announced 2026 revenue guidance of $40 million in conjunction with its previously announced business update call. The Company’s outlook reflects growing customer demand for quantum sensing and computing solutions. 2025 Financial Highlights For Full Year Ending December 31, 2025[1]: Revenue of $32.5 million. Loss from operations of $35.3 million. Non-GAAP operating loss of $28.1 million, which excludes stock-based compensation of $3.1 million and acquisition and integration costs of $4.1 million from GAAP operating loss. Select Business Highlights On April 1, 2026, Infleqtion announced the availability of its first quantum-enabled precision timing solution delivered with Safran Electronics & Defense. The solution builds on the December 2025 announcement of a strategic partnership and includes Infleqtion’s Tiqker optical atomic clock integrated and validated with Safran’s White Rabbit and SecureSync systems. The solution is available to customers across the defense, telecommunications, and critical infrastructure sectors. In March 2026, Infleqtion announced the delivery of the UK’s only operational 100-physical qubit quantum computing system at the National Quantum Computing Centre, meeting a major UK national quantum mission goal and advancing the country’s ability to develop and operate large-scale quantum systems. Following its earlier $6.2 million ARPA-E ENCODE award, Infleqtion won an additional ARPA-E award in March 2026, receiving $3.9 million through the QC3 program to advance chemistry and materials science applications. In February 2026, Infleqtion announced its role as a collaborator on NASA’s Quantum Gravity Gradiometer Pathfinder mission, securing more than $20 million in contracted funding to date.
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quantum-computingLeiden Exhibits 1913 Liquid Helium Breakthrough & Quantum Materials
Leiden University connects its historical physics achievements with current quantum materials research through a new exhibition celebrating its 450th anniversary. The display features photographs from around 1913, documenting Heike Kamerlingh Onnes’s work in liquefying helium, an accomplishment recognized with a Nobel Prize in 1913, alongside present investigations into ‘Van der Waals materials’ and ultrathin molecular layers. Semonti Bhattacharyya and Sense Jan van der Molen use instruments such as low-energy electron microscopes to explore these electronic properties, continuing a tradition of collaborative research that began over a century ago. This legacy is built on a foundation of skilled instrument making, highlighted by the enduring relationship between the Leiden Institute of Physics and the Leiden Instrumentmakers School, established in 1901, where students still learn to design and create specialized research tools. Kamerlingh Onnes’ 1913 Liquid Helium Breakthrough & Early Collaboration Liquefying helium was a pivotal moment in low-temperature physics, opening opportunities to explore matter under previously unattainable conditions and fundamentally changing our understanding of materials. Physicist Heike Kamerlingh Onnes first achieved this using a meticulously constructed apparatus and received the Nobel Prize in 1913. A historic photograph accompanying this milestone shows that such results were not solely the product of individual genius, but a “unique collaboration between research staff, instrument makers, physics students…and students from the LiS,” working together within the laboratory. Like Kamerlingh Onnes, Bhattacharyya and van der Molen train students and collaborate closely with instrument makers, such as Christiaan Pen of the Fine Mechanical Department, maintaining a continuous lineage of expertise. The importance of skilled instrument makers is further underscored by the fact that before 1880, physicists typically built their own equi
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quantum-computingMartina Matusko Joins planqc to Build Quantum Computer with Neutral Atoms
planqc has welcomed Martina Matusko as a Quantum Hardware Engineer to advance the development of its neutral-atom quantum computer. Matusko will be responsible for operating and further developing the quantum machine, focusing on trapping atoms to push the boundaries of quantum technology. A physicist from Croatia and Bosnia and Herzegovina, Matusko brings expertise gained through a PhD in quantum metrology and a background in both mathematics and physics to the Munich-based quantum computing company. She joined planqc after hearing founder Sebastian’s vision for building a quantum computer, a mission that perfectly aligned with her interests. “It is incredibly fulfilling to contribute to a technology that pushes the boundaries of what we think is possible,” says Matusko, who was motivated to pursue science by a desire to challenge limiting stereotypes surrounding women in STEM. Neutral Atom Qubit Development at planqc planqc is advancing neutral-atom quantum hardware while highlighting the importance of collaborative and inclusive environments. Martina Matusko, Quantum Hardware Engineer at planqc, explained that her role centers on the practical realization of this vision. “Together with my colleagues, I’m building a quantum computer based on neutral atoms. My main responsibility is operating and developing our quantum machine. I spend my days trapping atoms and pushing the experimental setup forward to advance our quantum technology.” This hands-on work is critical to overcoming the significant engineering challenges inherent in manipulating and controlling individual atoms. Martina also shares her vision for empowering the next generation in science and reflects on the joy of doing what you truly love. Currently, I’m one of two women in a fairly large Quantum Hardware team in Garching, but I honestly never notice it. I’m treated as a colleague, as an equal, and when you work in such an environment, you don’t think about gender statistics. This emphasis on inclusi
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quantum-computingUT Names New Governor’s Chair for Quantum Devices
Insider Brief The University of Tennessee, Knoxville has appointed Deep Jariwala as the UT-ORNL Governor’s Chair for Quantum Devices, starting January 2027. Jariwala will lead research in quantum materials and next-generation microchips, focusing on improving efficiency in AI and electronic systems. His role strengthens collaboration between UT and Oak Ridge National Laboratory, supporting research, commercialization, and student development. PRESS RELEASE — The University of Tennessee, Knoxville, welcomes Deep Jariwala, a leading scholar in quantum materials and next-generation electronic devices, as the UT-Oak Ridge National Laboratory Governor’s Chair for Quantum Devices. Jariwala, who will hold a joint appointment in UT’s Tickle College of Engineering and at ORNL, will officially join both institutions in January 2027. The Governor’s Chair program works to align the strengths of both UT and ORNL to advance research and talent development and to attract exceptionally accomplished researchers to the region. “Recruiting Governor’s Chairs and other preeminent faculty is central to our efforts to elevate the University of Tennessee, Knoxville,” said Chancellor Donde Plowman. “This appointment strengthens our ability to grow in emerging areas like quantum science and engineering while leveraging our partnership with ORNL to create opportunities for students and faculty that no other university can offer.” Jariwala is joining UT after nine years at the University of Pennsylvania, where he was most recently associate professor and Peter and Susanne Armstrong Distinguished Scholar in the Departments of Electrical and Systems Engineering and Materials Science and Engineering. Translating materials research into next-generation microchips Jariwala studies novel materials that can be used to create the chips of the future for computing, sensing and electronic devices that use artificial intelligence. Powering AI requires tremendous amounts of energy. Jariwala
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quantum-computingFewer Measurements Unlock More Precise Quantum Sensing Techniques
Jeongho Bang and colleagues at Yonsei University show that single-shot measurement learning (SSML) acts as an adaptive estimator, preserving the quantum advantages of a probe while using only one classical bit of information per measurement. The research reveals that the process itself provides an inherent measure of accuracy, with longer successful measurement runs indicating higher fidelity. Simulations using photonic states demonstrate that SSML maintains established gains over conventional methods and offers a pathway towards achieving Heisenberg scaling, identifying it as a key set of tools for building self-certifying estimators in quantum sensing applications. Adaptive quantum estimation via iterative refinement and run-length tracking Single-shot measurement learning (SSML) iteratively refines measurements based on simple success or failure outcomes, learning a correction to improve future readings. Unlike traditional quantum sensing techniques which rely on pre-defined, fixed measurement parameters, SSML dynamically adjusts its measurement strategy in response to each outcome. This adaptive nature is crucial for optimising sensitivity and mitigating the effects of environmental noise. The core principle involves learning a ‘compensation unitary’, a quantum operation that corrects for systematic errors in the measurement process. It contrasts sharply with classical estimation methods that often require extensive calibration and are susceptible to biases. SSML not only provides a result but also tracks the length of consecutive successful measurements, the run-length, serving as an intrinsic measure of accuracy. This run-length provides a direct indication of the estimator’s confidence in the obtained result, offering a self-assessment capability absent in many conventional sensing schemes. GHZ/NOON probes with entanglement depth ‘m’ and a fixed total resource were utilised in simulations, with performance assessed using Monte Carlo methods comprising 10 4 tr
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quantum-computingCalculations Bound Quantum System Energies for up to Ten Particles
Scientists at The Barcelona Institute of Science and Technology have developed a new optimisation technique for determining the ground-state properties of complex quantum systems. Jie Wang and colleagues present a method that overcomes typical scalability limitations hindering previous approaches. By exploiting the inherent structure within quantum spin systems, they compute meaningful bounds for systems on square lattices of up to 16×16, representing a key advance in the field and enabling investigation of larger, more complex quantum materials. Symmetry exploitation extends semidefinite programming to sixteen-by-sixteen quantum lattices Scaling semidefinite programming relaxations, a mathematical technique used to approximate solutions to complex optimisation problems, has now been successfully achieved for quantum spin systems on lattices up to 16×16. This represents a substantial improvement over the previous limit of 10×10, crossing a critical threshold for analysing previously intractable system sizes. Semidefinite programming is a powerful tool in convex optimisation, allowing for the formulation of complex problems as a set of linear inequalities. However, its computational cost grows rapidly with system size, traditionally limiting its application to smaller systems. The researchers mitigated these scalability issues by exploiting inherent symmetries within the quantum systems, specifically the translation symmetry present in the lattice structure. This symmetry allows for the reduction of the computational space, effectively simplifying the problem without sacrificing accuracy. The application of this symmetry leads to a second round of simplification in the calculations, further enhancing computational efficiency. This is achieved by recognising that the energy of the system is invariant under translations, allowing for the consolidation of variables and constraints. Heisenberg models, commonly used to describe the interactions between magnetic spins in m
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quantum-computingDo you think quantum Ghost Murmur exists?
This linked article claims there is a supposed long-range quantum magnetometry device the US used to find the electromagnetic fingerprint of the heartbeat of the recently downed US pilot in Iran, code-named Ghost Mumur. This seems not real on so many levels to me. First, I never heard of it. Second, it seems to go against how every other quantum sensor I'm aware of is used. Third, it's an application of quantum technology in a macro setting. Fourth, you don't need quantum measurement and sensors to detect a human heartbeat. What say you, definitely fake or possibly real? submitted by /u/rogeragrimes [link] [comments]
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quantum-computingWorkshop on Signal Processing for Quantum Technologies
Acronym: SPQTDates: Friday, September 4, 2026Web page: EUSIPCO Satellite WorkshopsRegistration deadline: Wednesday, April 8, 2026Submission deadline: Monday, June 15, 2026Tags: quantumsignal processingThe year 2025, designated as the International Year of Quantum Science and Technology, underscores the growing importance of quantum technologies as transformative emerging fields. It is becoming increasingly clear that signal processing (SP), augmented by advances in artificial intelligence (AI), will play a pivotal role in enabling the practical realization and large-scale deployment of quantum sensing, communications, and computing. Conversely, the unique properties of quantum systems—such as superposition and entanglement—offer revolutionary advantages for signal processing itself, providing new frameworks for enhanced detection, faster computation, and secure information transfer. In quantum sensing, tailored SP techniques applied across the entire operational pipeline—from data acquisition to final inference—are essential for achieving reliable performance in industrial applications. AI-enhanced SP methods for denoising, forward- and inverse-modelling, data fusion, parameter estimation, source separation, and control are already being actively employed to advance this domain. A similar synergy between SP and AI in quantum computing and quantum communication are also becoming imperative for enhancing tasks like error mitigation, calibration, protocol improvements, and so on. As the quantum revolution accelerates, the integration of quantum and hybrid processing strategies, including quantum signal processing and machine learning, offers promising avenues alongside their classical counterparts. Europe’s strong commitment to quantum technologies, exemplified by the Quantum Flagship initiative, further emphasizes the need for deeper collaboration between the SP and quantum communities. The 1st Workshop on Signal Processing for Quantum Te
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quantum-computingESA: Graphene Aerogels Accelerate in 30 Milliseconds in Microgravity
European Space Agency scientists have demonstrated that ultralight graphene aerogels can be propelled by light in microgravity, potentially changing space travel. An experiment aboard ESA’s 86th parabolic flight campaign in May 2025 revealed that laser-driven graphene samples accelerated quickly, achieving noticeable movement in just 30 milliseconds. Researchers from the Université Libre de Bruxelles and Khalifa University observed this effect within a vacuum chamber, finding that the material barely moved under Earth’s gravity but exhibited significant propulsion in simulated space conditions. “The reaction was fast and furious,” explains Marco Braibanti, ESA’s project scientist for the experiment, suggesting a future where spacecraft rely on light instead of traditional fuel. Microgravity Amplifies Laser Propulsion of Graphene Aerogels A pulse of light can propel ultralight graphene aerogels with surprising efficiency in the absence of gravity, according to recent experiments conducted by an international research team and the European Space Agency. Under Earth’s gravity, the aerogels exhibited minimal movement, but the effect in microgravity was markedly different, with samples accelerating rapidly upon laser exposure. “The reaction was fast and furious,” adds Braibanti. The research, published in Advanced Science, highlights how microgravity unlocks the potential of light propulsion for these materials, improving velocity, thrust, and achievable distance. The laser pulse triggers a sharp acceleration peak, after which the aerogels slow down. Graphene aerogels, notable for their exceptional electrical conductivity and structural integrity despite low density, represent a potential shift in spacecraft propulsion technology. These findings suggest that future space missions could utilize light-driven propulsion systems based on graphene aerogels, reducing reliance on conventional fuels and freeing up valuable payload capacity. Ugo Lafont, ESA’s materials physics an
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