192 curated articles
Insider Brief PRESS RELEASE — The U.S. National Science Foundation and United Kingdom Research and Innovation (UKRI) are bringing together scientists on opposite sides of the Atlantic to explore a shared frontier in chemistry research: quantum information. The agencies are jointly investing over $10...
The NSF and UKRI have jointly committed $10 million to fund eight transatlantic research teams in molecular quantum information science. This initiati...
We show that boson sampling with an arbitrary $m$-mode interferometer and $n\le m$ single-photon inputs can be simulated to inverse-polynomial total-v...
We give a quantum algorithm for Lindbladian simulation given a block encoding of the Hamiltonian $H$ and a projected unitary encoding of the stacked j...
Quantum key distribution (QKD) enables secure underwater communications essential for maritime infrastructure. Underwater optical channels introduce s...
Gate-defined hole spins combine strong spin-orbit coupling with exceptional strain sensitivity, making surface acoustic waves a natural route to remot...
Recent advances in quantum computing have been driven primarily by improvements in hardware. Here we show that substantial gains can instead arise fro...
Insider Brief PRESS RELEASE — QC Design today announced an integration between Plaquette, its design-automation platform for fault-tolerant quantum co...
Simulating nuclear magnetic resonance (NMR) spectra is a promising application of quantum simulation. Using Quantinuum's System Model H2, a trapped-io...
NVIDIA has launched CUDA-Q Logical, an extension to its open-source accelerated quantum computing platform, aimed at accelerating fault-tolerant quant...
At IEEE Quantum Week 2026, IonQ presented nine peer-reviewed papers, with four receiving Best Paper Awards, showcasing advancements in hybrid HPC and ...
QC Design has integrated its Plaquette platform with NVIDIA CUDA-Q Logical, announced on September 14, 2026. This integration allows for hardware-real...
BlueQubit has launched the "Quantum Flywheel" grant program, offering $150,000 in compute credits over three months for quantum algorithm discovery, a...
Quandela and NVIDIA have collaborated on a technical white paper outlining an architecture to integrate photonic Quantum Processing Units (QPUs) with ...
Insider Brief PRESS RELEASE — BWT Alpine Formula One Team and SEALSQ (NASDAQ: LAES) today introduce an expanded collaboration that brings quantum-powe...
EFI pairs (Brakerski, Canetti, and Qian, ITCS 2023) and one-way puzzles (Khurana and Tomer, STOC 2024) are the leading candidates for the minimal assu...
Spin qubits in gate-defined quantum dots provide a highly programmable platform for simulating condensed-matter phenomena. In this work, we introduce ...
Product-formula Hamiltonian simulation is naturally suited to near-term quantum processors, but its accuracy is set by two competing errors: finite-st...
Composition modulation is a powerful technique for designing materials with tailored properties, fueling the development of advanced semiconductor dev...
Understanding symmetry restoration in isolated quantum many-body systems is an important problem in nonequilibrium many-body quantum physics. Recent s...
The compilation of an algorithm can vary significantly with the choice of physical hardware platform and error correction model. Yet, current compilat...
Predicting how molecular weight distribution and monomer sequence evolve during polymerization is central to polymer science, yet classical approaches...
Change detection in synthetic aperture radar (SAR) and interferometric synthetic aperture radar (InSAR) underpins disaster response, infrastructure mo...
The struggle of the hour in quantum computing research is achieving effective suppression of the error mechanisms induced by the interaction of extern...
Insider Brief MIT researchers have designed a quantum computing component that simulations suggest could perform faster operations while preserving st...
Quantum sensing using nitrogen-vacancy (NV) centers in diamond has emerged as a powerful platform for detecting ultra-low magnetic fields under ambien...
Jets are central to the physics programs of both current and future colliders, from precision Standard Model measurements and searches for new physics...
Floquet driving uses periodic controls to tailor the behavior of quantum systems, with applications in quantum analogue simulation, sensing, and the p...
A quantum system of any fixed dimension can be prepared in a continuum of states, yet it cannot be used to transmit an unlimited amount of classical i...
Quantum benchmarks provide compact measures of performance that are important for evaluating and comparing quantum systems. Circuit-level benchmarks a...
We present an operator-decomposition architecture that mathematically maps a global operator into independently executable local operators, reducing t...
The Kibble-Zurek mechanism (KZM) and finite-time scaling (FTS) provide a foundational framework for driven critical dynamics, yet their predictive pow...
High-dimensional simulation of multivariate extremes is fundamentally limited by the combinatorial complexity of dependence, often more than by the sc...
We introduce Coherent Quantum Learning (CQL), a training framework for quantum learning models in which the model parameters are quantum degrees of fr...
Quantum repeaters are essential for establishing long-distance quantum communication to overcome the exponential decay of entanglement due to photon l...
Neutral-atom quantum hardware vendor Pasqal (Nasdaq: PSQL) and Saudi deep-tech startup True Nexus have announced a technical milestone in applying qua...
A key challenge in practical quantum machine learning (QML), particularly for discriminative tasks such as classification, is the limited capacity of ...
Quantum error correction (QEC) is beginning to enable logical operations that outperform their unencoded physical counterparts, but useful fault-toler...
Simulating quantum error correction (QEC) circuits including non-Clifford gates at scale is important to accelerate progress toward fault-tolerant qua...
The demonstration that enhanced yellow fluorescent protein hosts an optically addressable spin-1 qubit in its metastable triplet state raises the pros...
A key task in many quantum-computing applications, e.g., quantum simulation and quantum state tomography (QST), is to partition an arbitrary set of op...
Insider Brief Saudi Arabia’s King Abdulaziz City for Science and Technology (KACST) signed a research partnership with Imperial College London to adva...
Continuous-variable quantum systems offer a resource-efficient route to universal quantum information processing and analogue quantum simulation of re...
Insider Brief Toronto-based materials startup Meissner has raised $2.6 million in pre-seed financing to search for superconductors that could support ...
Trapped-ion hardware provider IonQ (NYSE: IONQ), high-performance computing leader NVIDIA, and quantum software startup qBraid have published joint re...
Advancing quantum information technologies requires qubits whose coherence can be precisely engineered. Among the qubit platforms in development, mole...
Programmable quantum annealers can realize real-time dynamics of frustrated transverse-field Ising models on large, nontrivial graphs. Recent work by ...
Quantum software developer QC Ware and trapped-ion hardware vendor IonQ (NYSE: IONQ) have demonstrated a hybrid quantum-classical chemistry workflow c...
Quantum Key Distribution (QKD) offers information- theoretically secure key establishment grounded in the laws of quantum physics, yet its practical r...
Insider Brief PRESS RELEASE – QC Ware today announced a technology demonstration of a hybrid quantum-classical chemistry workflow using its Promethium...
Insider Brief Researchers have developed a software package that uses quantum and classical computing to search for the shapes of short peptides, a pa...
The spherical-to-deformed quantum phase transition of the Interacting Boson Model (IBM) is investigated using the variational quantum eigensolver (VQE...
We present a quantum computing framework for simulating open-quantum-system approaches based on Markovian and non-Markovian dynamics, which is relevan...
The dynamical Lie algebra (DLA) governs the controllability, expressibility, and simulation complexity of a quantum system. Explicitly computing it ha...
Quantum kernel methods lose their advantage over classical kernels once the encoding bandwidth is tuned, and bandwidth-tuned quantum kernels have been...
IBM Quantum has officially launched Qiskit Fermions (v0.1.0), an open-source software library and transpiler extension designed to express fermionic o...
Standard universal quantum computing using exchange-only qubits typically requires three physical spins per logical qubit, leading to significant hard...
Planar $k$-uniform states have maximally mixed reductions on every $k$-site interval of a ring. We introduce planar $k$-purity---the mean purity of th...
Single electron spin qubits trapped in SiMOS quantum dots are a promising technology for scaling to thousand- or million-qubit systems due to their co...
Quantum computers offer the potential to directly probe the dynamics of strongly coupled quantum field theories. As a step towards reaching this poten...
We experimentally study error mitigation and finite-shot sampling on superconducting quantum hardware under a constrained execution budget. The study ...
The Energy Internet (EI) is a new concept aimed at enhancing the integration of renewable energy sources with the energy grid. Energy-efficient path s...
Quantum time-marching algorithms for transport PDEs often represent variable coefficients and forcing through register-expanding dilations, block-enco...
Paris-based quantum software startup ColibriTD has closed a €4 million ($4.66 million USD) Seed funding round led by Earlybird Venture Capital, with p...
Quantum DeepONet accelerates neural-operator inference by evaluating an orthogonally parameterized network on a quantum computer, reproducing in ideal...
Illustration of the problem formalism and multi-basis encoding approach Researchers from Singapore’s Agency for Science, Technology and Research (A*ST...
Understanding real-time flux-tube dynamics in more than one spatial dimension is key to unlocking the non-perturbative physics of confinement, and is ...
Maximally mixed state spectral sampling is an unbiased quantum algorithm that allows for extraction of a finite-resolution spectral distribution from ...
We present a systematic design for large-scale quantum kernel classification, demonstrated through a quantum support vector classifier (QSVC) for part...
Insider Brief A team of Singapore-based researchers reports that a hybrid quantum-classical method could offer a new route to studying drug candidates...
Insider Brief Press release – ColibriTD, the French quantum software company specializing in multiphysics simulation, today announced the closing of a...
Accurately estimating expectation values of observables from a finite number of measurement shots is a central challenge in quantum information scienc...
We show that the $d+0$-dimensional Yang-Lee theory describing classical Ising spins in an imaginary magnetic field can be realized, without post-selec...
Distributed architectures extend quantum simulation of many-body dynamics beyond the reach of any single processor, with shared entanglement mediating...
IBM (NYSE: IBM) has officially completed its acquisition of Malibu-based research and development institution HRL Laboratories, LLC (HRL). The transac...
Insider Brief Press release – IBM (NYSE: IBM) today announced it has completed its acquisition of HRL Laboratories, LLC (HRL), a leading research and ...
Insider Brief PRESS RELEASE — Scientists could have a new way to explore the hidden behaviour of matter, thanks to research involving Queen Mary Unive...
Insider Brief Press release – Recently, DOE announced $7.3 million in funding for eight projects that will explore the application of quantum informat...
Quantum simulation of strongly correlated fermionic systems is among the most promising near- term applications of quantum computing, but its practica...
Photonic quantum computing developer Xanadu (NASDAQ/TSX: XNDU) and Japanese chemical manufacturer Mitsubishi Chemical have announced the second phase ...
Insider Brief Press release – Infleqtion (NYSE: INFQ), a global leader in quantum computing and quantum sensing powered by neutral-atom technology, ha...
The Institute for Molecular Science (IMS), part of Japan's National Institutes of Natural Sciences (NINS), has announced that Japan’s first full-stack...
The Vlasov--Poisson system provides the fundamental kinetic description of plasma and plays a central role in understanding collective phenomena such ...
Insider Brief PRESS RELEASE — Institute for Molecular Science (IMS), National Institutes of Natural Sciences, announced on Aug. 24 that Japan’s first ...
Polar molecules trapped in optical tweezer arrays offer a promising platform for quantum information processing, providing precise control and long-ra...
Quantum processors encode an N-point field in log_2(N) qubits, which renders nonlinear wave equations an important application for quantum simulation....
Applying controlled unitary gates to generate entanglement between qubits is a routine task in both quantum communication and computation. The existin...
Quantum error mitigation (QEM) is at the very heart of near-term quantum simulations and lattice gauge theories are no exceptions, rather their physic...
Insider Brief Press release – QC Ware, the organizer of Q2B conferences and a developer of computational chemistry and quantum computing software, has...
Sparse quantum state preparation concerns an $n$-qubit target state that is a superposition of only $d \ll 2^n$ computational basis states. Existing a...
Quantum computing is entering a transitional regime between noisy intermediate-scale quantum (NISQ) processing and early fault-tolerant quantum comput...
Aaronson and Ambainis (Theory of Computing, 2014) conjectured that quantum query algorithms admit efficient almost-everywhere classical simulation: fo...
A $U(1)$ quantum rotor pairs a periodic angle with an integer-valued conjugate momentum, and occurs in molecular rotation, superconducting phase-charg...
Identifying the entanglement structure of a many-body quantum state, namely how its constituents partition into unentangled blocks, is a central task ...
Insider Brief PRESS RELEASE — When different materials transition from one phase to another, such a water coming to a boil or a magnet losing its abil...
We develop a quantum algorithm for solving the dynamics of the nonlinear viscous Burgers equation. We apply the Carleman linearization procedure on th...
Given a set of input states, we consider the task of predicting the expectation value of a Pauli observable at the output of an unknown quantum evolut...
A research team led by Cornell University Assistant Professor Valla Fatemi has developed a low-temperature fabrication process for tantalum-based supe...
Surface acoustic wave-based resonators are sensitive probes of condensed matter systems, as well as surface-selective sensors for chemistry and biolog...
Insider Brief PRESS RELEASE — To commercialize quantum computing, manufacturers need high-quality superconducting materials for microchips, but they a...
Quantum software and materials discovery company OTI Lumionics, in collaboration with the Samsung Advanced Institute of Technology (SAIT), has publish...
As quantum processors scale to hundreds of qubits, execution speed is a critical performance dimension alongside scale and quality. While substantial ...
In fault-tolerant quantum computing systems with biased noise, Clifford deformation can substantially reduce the logical error rate (LER) without addi...
Insider Brief PRESS RELEASE — OTI Lumionics, a leader in advanced quantum simulations and solutions for next-generation materials discovery, in collab...
The quantum approximate optimization algorithm (QAOA) targets NP-hard maximum-likelihood (ML) detection in multiple-input multiple-output (MIMO) syste...
We develop a quantum algorithm for slow analytic Hamiltonians $\widetilde H(t)=H(t/T)$ with $\|H(s)\|\leqα$ that achieves nearly additive query comple...
We study quantum simulation of SU(3) non-Abelian gauge theory dynamically coupled with fundamental fermions in $3+1$ dimensions by employing the latti...
Germanium hole spin qubits are a promising and versatile platform for quantum computation and simulation. In this system, strong spin-orbit interactio...
New classical simulation technique makes it practical to benchmark large-scale logical magic-state preparation protocols under realistic noise conditi...
The predictive simulation of molecules and materials has had a broad and significant impact. It nevertheless remains constrained by the cost of accura...
Quantum processors with native multi-qubit gates may offer very efficient implementations of near-term quantum algorithms on noisy hardware. Here, we ...
Quantum circuits are fundamental components of quantum computing, and state-vector-based quantum circuit simulation is a widely used technique for tra...
Researchers from Quantinuum, NVIDIA, and Pfizer Inc. have validated a Generative Quantum AI (GenQAI) framework designed to automate and accelerate qua...
Molecular spins represent a versatile platform for quantum information science, with the potential to offer chemically tunable, addressable qubits. Ho...
Quantum technology has the potential to transform scientific discovery, but quantum advantages often require processing capabilities well beyond the r...
Discrete-time quantum walks provide a versatile framework for investigating the generation, redistribution, and transport of quantum correlations in c...
Photonic quantum computing developer Xanadu Quantum Technologies Limited (NASDAQ/TSX: XNDU) has announced a strategic research partnership with the Un...
We classically simulate the IBM doped Clifford random circuit sampling experiment, comprising $70$ qubits, $70$ entangling layers, and $468$ inserted ...
From fluid flow and transport to collective dynamics, numerical simulation of nonlinear partial differential equations underpins modern scientific com...
Scientific simulations demand methods combining scalability with predictive accuracy. Density Functional Theory (DFT) on High-Performance Computing (H...
Quantum advantage refers to the point at which a quantum computer solves a clearly defined task faster or more efficiently than any classical computer...
Quemix Inc., a Tokyo-based quantum software and algorithm startup and consolidated subsidiary of TerraSky Co., Ltd., announced it has secured an inves...
Quantum software provider QC Ware has completed a technology demonstration validating a hybrid quantum-classical computational chemistry workflow usin...
Insider Brief Press release – QC Ware (“QC Ware” or the “Company”) today announced a technology demonstration of a hybrid quantum-classical computatio...
We propose and demonstrate the Kramers-Henneberger KH) atom as a novel qubit platform for ultrafast single-qubit gate operations. In the KH frame, the...
How quantum matter relaxes far from equilibrium is a central open problem in many-body physics, and one for which analog quantum simulators are well p...
Neutral atoms trapped in optical tweezers and excited to Rydberg states, together with trapped ions, are among the most advanced platforms for quantum...
We test whether a parameterized quantum circuit (PQC) improves a hybrid quantum-classical model's performance on classical datasets, using an interfac...
Solving the Vehicle Routing Problem (VRP) in Stochastic Transportation Networks (STNs), a core task in Intelligent Transportation Systems (ITS), intro...
Mapping quantum programs to restricted physical chips requires SWAP operations, incurring depth and error penalties. In symmetric programs, this routi...
High-dimensional nuclear spins offer a hardware-efficient route to quantum error correction (QEC), with the spin cat code providing intrinsic robustne...
Guest Post by Michael Osei, M.Sc. in Physics. Press release – Quantum technology can sound like science fiction: computers that solve problems beyond ...
Neutral atom quantum computing utilizes laser-trapped neutral atoms as qubits and realizes quantum logic gate operations through Rydberg-state interac...
Schrödinger cat states, representing coherent superpositions of macroscopically distinguishable states, are indispensable nonclassical resources for c...
High-coherence superconducting cavities offer a promising platform for quantum information, with long coherence times and negligible intrinsic dephasi...
Measurement-based quantum simulation (MBQS)---a recently proposed architecture for simulating lattice gauge theories---implements Hamiltonian dynamics...
Tensor-network contraction simulates quantum circuits, but modern matrix accelerators (NPUs, TPUs) expose only real GEMM pipelines, so the complex net...
It is well established that quantum strategies outperform classical ones in several communication tasks. We study the quantum communication complexity...
Classical simulation of quantum circuits is an essential tool in quantum information science, but its applicability is constrained by the exponential ...
Quantum resource theory has sharpened our understanding of the intrinsic complexity of quantum systems, particularly their classical simulability. How...
Many-body localization (MBL) is a dynamical phenomenon that describes the non-ergodicity of isolated quantum many-body systems. In contrast to thermal...
Most recently proposed quantum algorithms for solving linear and nonlinear partial differential equations rely on non-unitary operations. These operat...
In spite of recent advances, quantum computers are expected to be sufficiently noisy in the coming few years to the extent of limiting quantum chemica...
We introduce Pangaea, a fault-tolerant quantum architecture that uses a quantum bus to mediate logical operations between remote patches of two-dimens...
Magnonic systems are a promising resource for quantum technologies because of their ability to couple significantly disparate quantum platforms and th...
IBM and researchers from the University of Chicago announced a demonstration in quantum computing that meets the fundamental criteria for "quantum adv...
Qubit loss occurs when the physical carrier of a qubit leaves the computational system without directly revealing the event's location. Such errors ar...
Silicon-based donor flip-flop qubits offer a promising path toward scalable, fault-tolerant quantum computing by combining the long coherence times of...
Insider Brief Press release – When will meaningful applications of quantum computers arrive? The standard answer has been at least five to ten years, ...
Insider Brief Press release – IBM (NYSE: IBM) and researchers from the University of Chicago today announced a demonstration in quantum computing that...
As quantum computing matures, it is critical to benchmark its real-world problem solving performance against competitive classical methods, such as te...
We develop a hybrid qubit--qumode algorithm for nonlinear ordinary differential equations of the form $\dot{\mathbf{x}}=\mathbf{f}(\mathbf{x})$ with d...
Wave equations provide a natural testbed for near-term quantum simulation of partial differential equations, but hardware demonstrations have remained...
Analog quantum processors based on Rydberg atom arrays are a powerful platform for many-body quantum simulation, combinatorial optimization, and graph...
Insider Brief Press release – Qedma Quantum Computing, a pioneer in quantum error reduction software and IBM (NYSE: IBM) today announced a breakthroug...
Insider Brief Researchers from Quantinuum, NVIDIA and Pfizer have developed an artificial intelligence system that learns to generate quantum circuits...
Modular quantum computing is a leading paradigm for scaling quantum computation beyond the resource limitations of monolithic devices. In this archite...
Demonstrating a practical quantum advantage remains a central goal in quantum information science. While quantum computational supremacy is still tech...
The Non-Equilibrium Green's Function (NEGF) is the standard formalism for nano-scale electron transport. By recasting the NEGF scattering problem as a...
Predictive simulations of catalytic interfaces require correlated electronic-structure treatments that describe localized chemical transformations whi...
We propose a sparse computational-basis encoding of voxelized molecular geometries that converts molecular reconstruction from full-state tomography i...
The coherent one-way (COW) protocol is a quantum key distribution scheme that has attracted significant attention, leading to the development and comm...
We propose a rapid adiabatic passage (RAP) scheme based on level-crossing-free pulses for deterministic generation of multiqubit entangled states in R...
The dynamics of a nuclear spin bath generates magnetic noise that is a key contributor to the decoherence of electron spin qubits in electrostatically...
The predictive success of quantum mechanics underpins many areas of modern science, even as the exact simulation of large, interacting quantum systems...
Absolutely maximally entangled states represent a highly constrained form of multipartite entanglement and play an important role in quantum informati...
Quantum computers are moving from research laboratories to industrial machines accessible via the cloud and integrated into high-performance computing...
Insider Brief NordForsk has joined a new international research initiative with G7 funding agencies to support collaborative quantum technology resear...
Mapping quantum phase diagrams through classical simulation is notoriously resource-intensive, as even small systems far from the thermodynamic limit ...
Passive linear optics is a restricted model of quantum computation, with complexity-theoretic evidence of quantum advantage for sampling tasks and low...
Variational quantum algorithms offer a promising route to combinatorial optimization, but their applicability is limited by the challenge of encoding ...
Variational quantum circuits have been central to many proposed near-term applications of quantum computing, but a growing body of evidence suggests t...
Entanglement distillation and entanglement swapping have been extensively studied assuming perfect quantum memories. However, near-term quantum networ...
Quantum state preparation is a key component of many quantum algorithms. Performing this step efficiently is essential for realizing practical quantum...
Quantum networks promise secure communication, distributed sensing and modular quantum computing by interconnecting distant quantum nodes through phot...
Insider Brief Quantum computing is often portrayed as a race to build better qubits, but this is just part of the bigger challenge. Beneath every qubi...
Photonic quantum sensing often uses low-rank entangled probes such as Greenberger-Horne-Zeilinger (GHZ), Bell, and NOON states. Although these probes ...
To maximize the value of fault-tolerant quantum computers, it is essential to develop concrete applications beyond well-established domains such as ch...
Formal verification is becoming increasingly practical for quantum computing, yet the ability of AI agents to construct machine-checkable proofs in th...
Financial fraud detection is challenged by decentralized data, severe class imbalance, and privacy constraints. This paper presents QuantumChain, a se...
Recent experiments on quantum computers have challenged the limits of classical computation in chemistry, simulating ground states of strongly correla...
In a joint white paper published today, Quantinuum (NASDAQ: QNT) and Japan-based telecommunications conglomerate SoftBank Corp. have outlined a strate...
The Variational Quantum Eigensolver (VQE) is a leading algorithm for estimating molecular ground-state energies on near-term quantum hardware, with ap...
Quantum simulation of open quantum systems offers a pathway towards better understanding various non-equilibrium physics that would otherwise be chall...
While decoherence is known to erode classical hardness in quantum random sampling, the impact of coherent spatial disorder remains an open question. W...
Insider Brief A hybrid quantum-classical approach to fine-tuning artificial intelligence models could eventually consume less energy than classical si...
The Dicke model provides a fundamental description of collective light-matter interactions and has long served as a testbed for exploring a wide range...
Variational Quantum Algorithms (VQAs) are a leading paradigm for near-term quantum computing, combining parameterized quantum circuits with classical ...
Circuit cutting promises to scale quantum computations beyond current hardware, but variational quantum advantage also requires low cutting overhead, ...
Pauli-based simulators offer a promising route to large-scale classical simulation of quantum circuits in the low-magic regime. Yet their applicabilit...
We provide a formal framework for Continuous-Variable Quantum Computing (CQC). While CQC is supported by photonic quantum hardware, we are not aware o...
Quantum key distribution (QKD) over non-stationary channels, such as satellite links, is characterized by short, high-loss, and strongly fluctuating t...