Neutral Atom Quantum Computing: Pasqal, QuEra & Atom Computing Updates
Neutral atom quantum computing news: Pasqal, QuEra, Atom Computing. Rydberg qubits, analog quantum simulation & scalability breakthroughs.
Neutral atom quantum computing has emerged as the fastest-scaling quantum technology, leveraging arrays of individual atoms trapped in optical tweezers and excited to Rydberg states for controllable interactions. Companies including Pasqal, QuEra Computing, Atom Computing, and ColdQuanta (Infleqtion) are commercializing systems with 100-1,000+ qubits.
The technology uses optical tweezers to trap neutral atoms in programmable arrangements. When excited to high-energy Rydberg states, atoms develop large electric dipole moments enabling strong, long-range interactions. This creates natural multi-qubit gates essential for efficient quantum simulation and optimization.
India's Neutral Atom Research
India's National Quantum Mission includes neutral atom research within its Quantum Computing Thematic Hub at IISc Bengaluru. Premier institutions involved in quantum processor research, including IIT Delhi, IIT Bombay, IISc Bengaluru, Raman Research Institute, and TIFR Mumbai, are exploring diverse approaches including superconducting qubits, semiconducting qubits, photonic processors, and neutral atom systems according to official government announcements. The Foundation for QC Innovation coordinates these multi-platform research efforts.
Dual Operating Modes
Dual operating modes include analog/digital mode for direct Hamiltonian simulation of quantum many-body physics, optimization, and machine learning; and gate-based mode for universal quantum computing with high-fidelity single-qubit and two-qubit gates.
Key Advantages
Key advantages include rapid scaling to hundreds of qubits, reconfigurable geometries supporting arbitrary connectivity, long coherence times (seconds), and compatibility with photonic interfaces for networking. Recent breakthroughs include Harvard/MIT/QuEra demonstrating 48 logical qubits using reconfigurable atom arrays for error correction, and Pasqal's analog quantum processors solving optimization problems with 1,000+ variables.
quantum-computingEngineering quantum criticality and dynamics on an analog-digital simulator
--> Quantum Physics arXiv:2602.18555 (quant-ph) [Submitted on 20 Feb 2026] Title:Engineering quantum criticality and dynamics on an analog-digital simulator Authors:Alexandra A. Geim, Nazli Ugur Koyluoglu, Simon J. Evered, Rahul Sahay, Sophie H. Li, Muqing Xu, Dolev Bluvstein, Nik O. Gjonbalaj, Nishad Maskara, Marcin Kalinowski, Tom Manovitz, Ruben Verresen, Susanne F. Yelin, Johannes Feldmeier, Markus Greiner, Vladan Vuletic, Mikhail D. Lukin View a PDF of the paper titled Engineering quantum criticality and dynamics on an analog-digital simulator, by Alexandra A. Geim and 16 other authors View PDF HTML (experimental) Abstract:Understanding emergent phenomena in out-of-equilibrium interacting many-body systems is an exciting frontier in physical science. While quantum simulators represent a promising approach to this long-standing problem, in practice it can be challenging to directly realize the required interactions, measure arbitrary observables, and mitigate errors. Here we use coherent mapping between the Rydberg and hyperfine qubits in a neutral atom array simulator to engineer and probe complex quantum dynamics. We combine efficient analog dynamics with fully programmable state preparation and measurement, leverage non-destructive readout for loss information and atomic qubit reuse, and use an atom reservoir for replacing lost atoms. With this analog-digital approach, we first demonstrate dynamical engineering of ring-exchange and particle hopping dynamics via Floquet driving and measure the spectral function of single excitations by evolving initial superposition states. Extending these techniques to a 271-site kagome lattice, we employ closed-loop optimization to target an out-of-equilibrium critical quantum spin liquid of the Rokhsar-Kivelson type. We observe the key features of such a state, including the absence of local order, many-body coherences between nearly equal-amplitude dimer configurations over up to 18 sites, and universal correlations consis
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quantum-computingFinnish quantum unicorn IQM set to go public
Finnish unicorn IQM today announced plans to go public via a special purpose acquisition company (SPAC), valuing the company at approximately $1.8 billion. The move will see IQM join the growing cohort of quantum computing companies listed on U.S. stock markets. Founded in 2018 as a spinout from Finland’s Aalto University and VTT Technical Research, IQM commercializes both on-premises full-stack quantum computers and a cloud platform to access its systems, with clients including academic and industrial labs around the world. Public quantum companies have seen their stocks surge in recent months, fueled by signals from governments and Big Tech that the “quantum advantage” over regular supercomputers may soon be within reach. This has led believers to double down, with the conviction that the field will soon have lucrative real-life applications in life sciences, new materials, and more. Going public will provide IQM with an extended runway to support its commercial plans. The company reported $35 million in 2025 revenue and over $100 million in bookings. With the close of this transaction, its cash position will exceed $450 million. But the company could also see its market cap trend upwards or downwards, depending on how investor appetite for quantum stocks has evolved when it begins trading. With industrial applications still years away, questions remain as to whether the current quantum frenzy will last. These questions arise to an even greater extent because most of these companies went public via SPACs — a route that is faster than a traditional IPO, but that peaked in 2021 and left many investors nursing losses in its wake. Despite this sour aftertaste, quantum SPACs are back in fashion. Earlier this month, neutral-atom quantum company Infleqtion jumped in its debut on the New York Stock Exchange (NYSE) via a SPAC, with Canadian firm Xanadu Quantum Technologies planning to go public via a SPAC on the Nasdaq by the end of March. Now, IQM is following
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quantum-computingCoprime Bivariate Bicycle Codes and Their Layouts on Cold Atoms
AbstractQuantum computing is deemed to require error correction at scale to mitigate physical noise by reducing it to lower noise levels while operating on encoded logical qubits. Popular quantum error correction schemes include CSS code, of which surface codes provide regular mappings onto 2D planes suitable for contemporary quantum devices together with known transversal logical gates. Recently, qLDPC codes have been proposed as a means to provide denser encoding with the class of bivariate bicycle (BB) codes promising feasible design for devices. This work contributes a novel subclass of BB codes suitable for quantum error correction. This subclass employs $coprimes$ and the product $xy$ of the two generating variables $x$ and $y$ to construct polynomials, rather than using $x$ and $y$ separately as in vanilla BB codes. In contrast to vanilla BB codes, where parameters remain unknown prior to code discovery, the rate of the proposed code can be determined beforehand by specifying a factor polynomial as an input to the numerical search algorithm. Using this coprime-BB construction, we found a number of surprisingly short to medium-length codes that were previously unknown. We also propose a layout on cold atom arrays tailored for coprime-BB codes. The proposed layout reduces both move time for short to medium-length codes and the number of moves of atoms to perform syndrome extractions. We consider an error model with global laser noise on cold atoms, and simulations show that our proposed layout achieves significant improvements over prior work across the simulated codes.► BibTeX data@article{Wang2026coprimebivariate, doi = {10.22331/q-2026-02-23-2009}, url = {https://doi.org/10.22331/q-2026-02-23-2009}, title = {Coprime {B}ivariate {B}icycle {C}odes and {T}heir {L}ayouts on {C}old {A}toms}, author = {Wang, Ming and Mueller, Frank}, journal = {{Quantum}}, issn = {2521-327X}, publisher = {{Verein zur F{\"{o}}rderung des Open Access Publizierens in den Quantenwisse
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quantum-computingEnhanced Maximum Independent Set Preparation with Rydberg Atoms Guided by the Spectral Gap
--> Quantum Physics arXiv:2602.17991 (quant-ph) [Submitted on 20 Feb 2026] Title:Enhanced Maximum Independent Set Preparation with Rydberg Atoms Guided by the Spectral Gap Authors:Seokho Jeong, Minhyuk Kim View a PDF of the paper titled Enhanced Maximum Independent Set Preparation with Rydberg Atoms Guided by the Spectral Gap, by Seokho Jeong and 1 other authors View PDF HTML (experimental) Abstract:Adiabatic quantum computation with Rydberg atoms provides a natural route for solving combinatorial optimization problems such as the maximum independent set (MIS). However, its performance is fundamentally limited by the reduction of the spectral gap with increasing system size and connectivity, which induces population leakage from the ground state during finite-time evolution. Here we introduce the Adjusted Detuning for Ground-Energy Leakage Blockade (ADGLB), a spectral-gap-guided schedule engineering method that modifies the laser detuning profile to suppress leakage without introducing additional Hamiltonian terms or iterative optimization loops. We experimentally benchmark ADGLB on a quasi-one-dimensional chain of $N=10$ atoms, and the MIS preparation probability increases substantially compared with the standard adiabatic schedule. Furthermore, we show that the schedule optimized for smaller instances can be directly applied to larger two-dimensional triangular lattices with $N=25$ and $N=37$. With a small heuristic offset, the method also remains effective for instances with higher hardness parameters. These findings demonstrate that spectral-gap-guided schedule engineering offers a scalable and hardware-efficient strategy for enhancing adiabatic quantum optimization on neutral-atom platforms. Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2602.17991 [quant-ph] (or arXiv:2602.17991v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2602.17991 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history
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quantum-computingLaser Tweezers Sculpt Atoms’ Electrons with Precision
Researchers are now demonstrating precise control over the behaviour of Rydberg atoms, potentially revolutionising areas such as quantum computing and materials science. Homar Rivera-Rodríguez and Matthew T. Eiles, from the Max-Planck Institut für Physik komplexer Systeme, alongside Tilman Pfau and Florian Meinert working with colleagues at the 5. Physikalisches Institut and Center for Integrated Quantum Science and Technology, Universität Stuttgart, detail a novel method for manipulating the electron orbits of Rydberg atoms using optical tweezers. Their work computes electronic eigenstates within a tightly focused laser beam, revealing strong mixing of Rydberg states and the creation of substantial dipole moments that can be rapidly modulated. This ability to sculpt the electronic matter wave and trap atoms via ponderomotive forces on sub-orbital length scales opens exciting possibilities for creating and controlling ultralong-range Rydberg molecules and exploring new quantum phenomena. Scientists are edging closer to harnessing the exotic properties of matter at its most fundamental level. Controlling individual atoms with light offers a pathway to entirely new technologies, and this work demonstrates an unexpected degree of precision. The ability to sculpt the behaviour of electrons within atoms could unlock advances in quantum computing and materials science. Researchers have achieved a new level of control over the electronic structure of Rydberg atoms, manipulating the electron orbitals with focused laser light. This work details a method for sculpting the “matter wave” of an electron within a Rydberg atom, atoms with electrons in highly excited states, using optical tweezers, beams of light capable of trapping and manipulating microscopic objects. By focusing a laser beam to a size smaller than the electron’s orbit, they induce substantial changes in the atom’s electronic properties, creating large, controllable dipole moments measured in the kilo-Debye range
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quantum-computingBloomberg Reports: Quantum Startup Pasqal Seeks €200 Million to Fuel Growth
Quantum computing is poised for a significant leap forward as Pasqal SAS, the French startup co-founded by 2022 Nobel Prize in Physics winner Alain Aspect, seeks to secure €200 million ($237 million) in a new funding round. Bloomberg reports the Paris-based company is in discussions that would value Pasqal at over $1 billion pre-money, signaling growing confidence in its neutral atom approach to building quantum processors. Researchers are optimistic about this technology’s potential for scalability and flexible qubit arrangements, the quantum equivalent of classical computing bits. Pasqal operates as a full stack company, offering both hardware and software solutions in this rapidly developing field, and while the deal isn’t final, the potential investment underscores the accelerating race to build practical quantum computers. Pasqal SAS Pursues $237 Million Funding at $1 Billion+ Valuation Pasqal SAS, a French firm pioneering quantum computing, is poised to become a unicorn with discussions underway for a €200 million ($237 million) funding round. This investment would establish a pre-money valuation exceeding $1 billion, signaling significant confidence in the company’s trajectory. Based in Paris, Pasqal distinguishes itself by offering complete quantum computing solutions that encompass both hardware and the necessary software. The company’s foundation includes the expertise of Alain Aspect, co-founder and 2022 Nobel Prize in Physics laureate, immediately establishing Pasqal as a key player in the field. Pasqal’s technological focus centers on neutral atom quantum processors, a method that sources familiar with the matter believe “has strong scaling potential.” This approach allows for adaptable configurations of qubits, the fundamental building blocks of quantum computation analogous to bits in conventional computers. While the deal remains subject to finalization and potential adjustments to terms, Pasqal’s operation as a “full stack quantum computing company”
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quantum-computingQuantum Computing Companies In 2026
Quantum Computing Companies | The Complete Guide [2026] | Quantum Zeitgeist Last updated: February 2026 The quantum computing industry has entered what many observers now describe as its commercial inflection point. Record-breaking equity funding rounds and rapidly growing government commitments have reshaped the industry. With new companies listing on public markets, billion-dollar private fundraising rounds closing at unprecedented speed, and the first genuine enterprise deployments taking shape, the landscape of quantum computing companies has never been more dynamic or more consequential for investors, technologists and policymakers. This is a continuously evolving space where company valuations, technical milestones and competitive positions shift rapidly, and what follows is a snapshot of the landscape as it stands today. This guide covers pure-play quantum firms, the large technology companies running major quantum R&D programmes, and the wider ecosystem of software, cybersecurity and sensing businesses that complete the quantum technology stack. For those looking to explore over 940 companies across 47 countries, the Quantum Navigator offers the most comprehensive directory of quantum technology firms anywhere in the world. Context Why the Landscape Matters Now The quantum computing sector is no longer dominated by a handful of research labs. A full ecosystem has emerged, and 2026 is significant because of three converging trends. Public markets have opened dramatically. Infleqtion completed its SPAC in February 2026, trading as INFQ on NYSE. Xanadu’s SPAC with Crane Harbor is expected to close in H1 2026. Quantinuum filed a confidential S-1 in January 2026 and is expected to achieve the largest quantum IPO valuation to date. The era of quantum as a purely private endeavour is ending. The technology has matured to where modalities can be meaningfully compared. Superconducting, trapped-ion, neutral-atom, photonic and topological approaches have all demons
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quantum-computingEntropic Barriers and the Kinetic Suppression of Topological Defects
--> Quantum Physics arXiv:2602.16777 (quant-ph) [Submitted on 18 Feb 2026] Title:Entropic Barriers and the Kinetic Suppression of Topological Defects Authors:Yi-Lin Tsao, Zhu-Xi Luo View a PDF of the paper titled Entropic Barriers and the Kinetic Suppression of Topological Defects, by Yi-Lin Tsao and Zhu-Xi Luo View PDF HTML (experimental) Abstract:Many quantum phases, from topological orders to superfluids, are destabilized at finite temperature by the proliferation and motion of topological defects such as anyons or vortices. Conventional protection mechanisms rely on energetic gaps and fail once thermal fluctuations exceed the gap scale. Here we examine a complementary mechanism of entropic protection, in which defect nucleation is suppressed by coupling to mesoscopic auxiliary reservoirs of dimension $M$, generating an effective free-energy barrier that increases with temperature. In the Ising chain, this produces a characteristic three-regime evolution of the correlation length as a function of temperature - linear growth, entropy-controlled plateau, and eventual breakdown - indicating a general modification of defect behavior. Focusing on two spatial dimensions, where true finite-temperature topological order is forbidden in the thermodynamic limit, we show that entropic protection can nevertheless strongly enhance stabilization at finite system size, the regime directly relevant for quantum memory and experiments. Owing to the topological character of the defects, creation and transport are independently suppressed, yielding a double parametric reduction of logical errors in the entropic toric code and enhanced coherence when the framework is extended to Berezinskii-Kosterlitz-Thouless transitions. Entropic barriers thus provide a passive and scalable route to stabilizing quantum phases in experimentally relevant regimes. We propose an experimental setup for entropic toric code using dual species Rydberg arrays with dressing. Comments: Subjects: Quantum Physi
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quantum-computingOptical Device Steers Qubits in Any 2D Pattern
Scientists are developing new methods for manipulating qubits, fundamental units of quantum information, and a significant challenge lies in achieving rapid and versatile control over large arrays of these delicate systems. Edita Bytyqi, Josiah Sinclair, Joshua Ramette, and Vladan Vuletić, working collaboratively between the Massachusetts Institute of Technology and the University of Wisconsin-Madison, present a novel optical rastering device capable of generating arbitrary two-dimensional optical potentials at a refresh rate of 1MHz. This innovation overcomes limitations inherent in current technologies, such as acousto-optic deflectors and spatial light modulators, which restrict both speed and movement patterns. Demonstrating a 40×40 resolution scalable to 100×100, this device promises to enhance qubit connectivity, facilitate more efficient quantum circuits, and potentially broaden applications beyond quantum computing into fields like LiDAR and fluorescence microscopy. Within a vacuum chamber, light races across a tiny chip containing tens of thousands of microscopic mirrors. This new device steers optical beams with a speed and freedom previously unattainable, allowing precise control over individual quantum bits and promising a future where qubits can be connected and manipulated in complex, three-dimensional arrangements. Scientists are developing a new optical system to precisely control neutral atoms, essential components in emerging quantum computing technologies. Current methods rely on devices like acousto-optic deflectors and spatial light modulators, but these are limited by slow response times and geometric constraints, restricting movement to simple grid-like patterns. Now, a team has engineered an optical rastering device capable of generating any two-dimensional pattern at a refresh rate of 1MHz, a speed previously unattainable. Achieving this active control presents technical challenges, as traditional systems struggle with the trade-off between
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quantum-computingNew Simulation Method Tackles Complex Material Challenges
Simulating strongly correlated systems in two dimensions is notoriously challenging due to rapid entanglement growth and frustration. Fabian J. Pauw from Ludwig-Maximilians-Universit at M unchen and the Munich Center for Quantum Science and Technology, in collaboration with Thomas Köhler from Heriot-Watt University, and Ulrich Schollwöck and Sebastian Paeckel also from Ludwig-Maximilians-Universit at M unchen and the Munich Center for Quantum Science and Technology, present a new approach to tackle this problem. They introduce the adaptive projected-purified pseudoboson density-matrix renormalization group (A3P-DMRG) tailored to explore the ground states of dilute lattice models. This method compresses cluster Hilbert spaces by retaining only the most probable low-occupation Fock states, identified via probabilistic bounds and refined through a self-consistent mean-field basis optimization. Demonstrating advantages in low-filling and weak-coupling regimes for large system sizes where conventional DMRG struggles, this work establishes A3P-DMRG as a versatile tool for studying dilute many-body systems relevant to ultra-cold atom simulators, photonic lattices, Moiré materials and beyond. For decades, accurately modelling complex materials has remained a major computational hurdle. This advance tackles a long-standing limitation in the study of dilute two-dimensional systems. Scientists are continually challenged when simulating strongly correlated systems in two dimensions, a difficulty stemming from the rapid growth of quantum entanglement and the presence of frustrating interactions. Researchers have developed the adaptive projected-purified pseudoboson density-matrix renormalization group, or A3P-DMRG, a method specifically designed to explore the ground states of dilute lattice models. This technique efficiently compresses the computational space by focusing on the most probable configurations of particles within clusters, identified using probabilistic limits and
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quantum-computingPasqal in Talks to Raise €200 Million at Unicorn Valuation, Bloomberg Reports
Insider Brief Pasqal is in talks to raise €200 million in a funding round that would value the French quantum computing startup at more than $1 billion pre-money, according to Bloomberg. The Paris-based company builds neutral atom quantum processors and provides both hardware and software, positioning itself as a full-stack quantum computing firm. The potential raise comes amid a surge in quantum investment activity, with recent large funding rounds by IQM, Multiverse Computing and a new €220 million fund from Quantonation. Pasqal SAS is in discussions to raise €200 million in new financing at a valuation exceeding $1 billion before the investment, according to media reports. Bloomberg reported that the French startup is negotiating the funding round, which would value the company at more than $1 billion pre-money, citing people familiar with the matter. The deal has not been finalized and terms could change, indicating that the discussions are private and fluid. Pasqal did not immediately respond to Bloomberg’s request for comment. The potential round would mark a significant step for the Paris-based company, which was co-founded by Alain Aspect, a winner of the 2022 Nobel Prize in Physics. Pasqal positions itself as a full-stack quantum computing company, developing both hardware and software designed to run on its machines. Pasqal builds quantum processors using neutral atom technology. Unlike classical computers, which use bits that are either zero or one, quantum computers rely on qubits, which can theoretically exist in multiple states at once. Neutral atom systems use individual atoms as qubits, trapping and arranging them with lasers. Researchers say this approach offers flexibility in how qubits are organized and may scale more easily to larger systems. Rising Capital in Quantum The fundraising talks come as investor interest in quantum technology appears to be accelerating, with several large financial stories about quantum just this week. According to Blo
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quantum-computingQuantum Systems Accelerator focuses on technologies for computing
Quantum --> Quantum Podcasts Quantum Systems Accelerator focuses on technologies for computing 19 Feb 2026 Hamish Johnston Developing practical technologies for quantum information systems requires the cooperation of academic researchers, national laboratories and industry. That is the mission of the Quantum Systems Accelerator (QSA), which is based at the Lawrence Berkeley National Laboratory in the US. The QSA’s director Bert de Jong is my guest in this episode of the Physics World Weekly podcast. His academic research focuses on computational chemistry and he explains how this led him to realise that quantum phenomena can be used to develop technologies for solving scientific problems. In our conversation, de Jong explains why the QSA is developing a range of qubit platforms − including neutral atoms, trapped ions, and superconducting qubits – rather than focusing on a single architecture. He champions the co-development of quantum hardware and software to ensure that quantum computing is effective at solving a wide range of problems from particle physics to chemistry. We also chat about the QSA’s strong links to industry and de Jong reveals his wish list of scientific problems that he would solve if he had access today to a powerful quantum computer. This podcast is supported by Oxford Ionics. Want to read more? Registration is free, quick and easy Note: The verification e-mail to complete your account registration should arrive immediately. However, in some cases it takes longer. Don't forget to check your spam folder. If you haven't received the e-mail in 24 hours, please contact customerservices@ioppublishing.org. E-mail Address Register Hamish Johnston is an online editor of Physics World Back to Quantum Physics World Quantum Briefing 2.0 Read our free digital issue of the Physics World Quantum Briefing today. Read previous Asteroid deflection: why we need to get it right the first time Astronomy and space Podcasts Discover more from Physi
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quantum-computingAtoms Reveal Surface Forces with New Precision Method
Researchers have developed a new technique to probe the subtle interactions between ultracold atoms and material surfaces. J-B. Gerent from the Department of Physics and Astronomy at Bates College, alongside R. Veyron and V. Mancois, and colleagues demonstrate a method combining optical and magnetic trapping with surface rotation to precisely control and measure atom-surface distances. This innovative approach allows for the adiabatic transport of a rubidium Bose-Einstein condensate to within a few hundred nanometres of a surface, where interactions significantly influence trapping potential and increase tunnelling rates. By measuring cloud lifetimes and comparing them with a refined tunnelling model, incorporating factors such as noise-induced heating and experimental biases, the team estimates a relative uncertainty of 10% in determining the Casimir-Polder force coefficient in the retarded regime. This work, conducted in collaboration between Bates College, represents a significant step towards understanding fundamental atom-surface interactions and is applicable to a wide range of magnetically and optically trapped species. Scientists are developing increasingly precise ways to examine the forces acting on individual atoms, fundamental to advances in quantum technologies and materials science. A new technique promises to measure these subtle forces with greater accuracy by manipulating atoms with light, magnetism, and a rotating surface. This work introduces a method that combines magnetic and optical trapping with precise surface rotation to transport a cloud of rubidium atoms from micrometers to a few hundred nanometers from a surface. At these extremely short distances, the interaction between the atoms and the surface significantly alters the trapping potential, increasing the rate at which atoms tunnel towards the surface. Consequently, by carefully measuring the lifetime of the atomic cloud and comparing it to a theoretical tunneling model, researchers can
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quantum-computingWelinq and Pasqal Accelerate Networked Quantum Computing with Neutral-Atom Technology
Welinq and Pasqal announce the strengthening of their strategic collaboration to accelerate the development of networked quantum computing based on interconnected neutral-atom quantum processors. Building on an established collaboration and a shared neutral-atom technology stack, the two companies are now moving into a new phase of rapid implementation, tightly aligning quantum computing and quantum networking to deliver scalable, network-ready quantum architectures designed for deployment in data centers. This collaboration reaches a new milestone with InterQo, a €4 million, supported by the Île-de-France Region and BPI France through the i-Demo Régionalisé (France 2030) call. The project includes a bilateral industrial partnership between Pasqal and Welinq, alongside a dedicated research collaboration led by Pasqal with the group of Alexei Ourjoumtsev at Collège de France (JEIP), a leading expert in quantum optics and strong light–matter interactions. From Individual Machines to Networked Quantum Computers Early deployments of quantum computing resources generally depend on standalone quantum processing units (QPUs). While these machines are already demonstrating practical utility and delivering value, scaling capacity will ultimately encounter practical limits. By allowing separate quantum processors to function as a single, more powerful computer, quantum networking fundamentally shifts how quantum resources can be deployed and scaled. In practice, quantum information is converted from qubits inside a QPU into photons – the ideal carriers of flying quantum information – and transmitted optically between processors. This optical quantum interconnect enables entanglement to be shared between qubits located on different QPUs, effectively creating a larger quantum computer with many more qubits than any individual machine could provide. This collective operation would enable quantum computing to scale beyond the vertical scalability barriers of individual processors
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quantum-computingQuantum computing firm Infleqtion begins trading on Nasdaq following SPAC merger - DatacenterDynamics
Quantum computing firm Infleqtion begins trading on Nasdaq following SPAC merger DatacenterDynamics
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quantum-computingQuantum Computing Yields Comparable Accuracy with Six Models
Researchers are exploring the potential of quantum computing to address challenges in analysing complex medical datasets. Luke Antoncich, Yuben Moodley and Ugo Varetto, working with colleagues from the Centre for Quantum Information, Simulation and Algorithms at The University of Western Australia, the Centre for Respiratory Health at the University of Western Australia, the Pawsey Supercomputing Research Centre, and QuEra Computing Inc, demonstrate a quantum reservoir computing approach applied to a small, complex medical dataset. This collaborative effort, involving Jonathan Wurtz, Jing Chen and Pascal Jahan Elahi, alongside Casey R. Myers, represents a significant step towards utilising near-term quantum devices for biomarker-based clinical outcome prediction. Their findings reveal that quantum features, particularly when generated through hardware execution on the Aquila processor, can offer improved accuracy and stability compared to classical machine learning, potentially due to a regularising effect arising from the inherent noise and structure of the quantum system. Predicting patient outcomes from complex medical data remains a major challenge for modern healthcare. Now, a novel application of quantum computing techniques offers a potential route to improved diagnostics and personalised treatment. Biomarker-based predictions are often hampered by nonlinear relationships between indicators, correlations among features, and the limited size of many patient datasets. This work introduces a novel approach using quantum reservoir computing (QRC), a technique that harnesses the principles of quantum mechanics to process information, and evaluates its performance on a real-world medical dataset. The study investigates both simulated and actual hardware implementations of QRC, utilising the neutral-atom Rydberg processor named Aquila. Initial findings reveal that models trained on quantum features generated through simulation achieve comparable test accuracies to t
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quantum-computingQuantum Codes Boost Computer Scalability with Logic Design
Researchers are addressing a critical bottleneck in scalable quantum computing by developing a novel instruction-set architecture for low-density parity-check (qLDPC) codes. Willers Yang and Jason Chadwick, both from the University of Chicago, alongside Mariesa H. Teo, Joshua Viszlai, and Fred Chong, in collaboration across the University of Chicago, present RASCqL, a Reaction-time-limited Architecture for Space-time-efficient Complex qLDPC Logic. This work is significant because it introduces a complex-instruction-set computer that directly embeds key quantum algorithmic subroutines within co-designed qLDPC codes, potentially overcoming limitations in space-time efficiency that have previously hindered the practical application of qLDPC codes. By tailoring the architecture to specific applications and leveraging parallel operations on reconfigurable neutral-atom arrays, RASCqL achieves substantial footprint reductions and comparable performance to existing surface-code architectures, paving the way for qLDPC codes to function as practical compute modules within larger quantum systems. Scientists are edging closer to practical quantum computers with a design that dramatically shrinks the hardware needed for error correction. The new architecture, dubbed RASCqL, optimises complex calculations by directly encoding them into the error-correcting code itself, promising to make scalable quantum computing significantly more achievable. Researchers have developed RASCqL, a novel architecture designed to enhance the practicality of quantum low-density parity-check (qLDPC) codes for scalable fault-tolerant quantum computing. While qLDPC codes offer reduced overhead compared to conventional approaches, realising their full potential requires an efficient instruction-set architecture. This work introduces a complex-instruction-set computer (CISQ) that embeds key algorithmic subroutines, including quantum arithmetic and table lookups, within the qLDPC code itself. Unlike previo
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quantum-computingQuantum Startup Pasqal Seeks €200 Million at Unicorn Valuation
French quantum startup Pasqal SAS is in talks to raise €200 million ($237 million) in a round that would value it at more than $1 billion pre-money, according to people familiar with the matter.
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quantum-computingQuantum Startup Pasqal Seeks €200 Million at Unicorn Valuation - Bloomberg
Quantum Startup Pasqal Seeks €200 Million at Unicorn Valuation Bloomberg
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quantum-computingQuantonation Launches €220 Million Fund With Eye on Error Correction And Quantum Infrastructure
Insider Brief Quantonation has closed a €220 million early-stage fund focused on quantum technologies, more than doubling the size of its first fund and underscoring rising global investment in the sector. The Paris-based firm will invest from pre-seed to Series A in quantum computing, sensing, communications, error correction and enabling technologies, with plans to back about 25 startups. The fund is supported by institutional and corporate investors including Vertex Holdings, Bpifrance, the European Investment Fund and Novo Holdings, as global quantum funding reached a record $5 billion last year. Quantonation has closed a €220 million — or, about $240 million US — early-stage fund focused on quantum technologies and more than doubling the size of its first vehicle, a €91 million fund raised in 2022, Sifted reported. The new fund positions the Paris-based among a small group of global investors dedicated exclusively to quantum science and engineering. Founders say error-correction will be a particular focus for the fund. According to Sifted, the fund comes as global investments in quantum technologies reached record levels, an increase that reflects growing confidence that quantum computing, sensing and communications are moving closer to commercial viability. Founded in 2018, Quantonation invests from pre-seed through Series A across Europe, North America and Asia-Pacific. The firm was an early backer of French quantum computing company Pasqal and Spanish startup Multiverse Computing, which develops quantum-inspired software designed to make artificial intelligence models run more efficiently on classical computers. A Concentrated Bet on Quantum Quantonation is one of only a handful of firms globally that focus exclusively on quantum technologies. Sifted reports that Danish venture capital firm 55 North announced a €300 million debut fund last year, highlighting the emergence of specialist capital pools in the sector. Firgun Ventures recently announced a $70 mil
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