213 curated articles
Oracle has released Java 27 (Oracle JDK 27), introducing significant security and performance updates. A key feature is the integration of hybrid post-quantum cryptography for TLS 1.3, designed to protect against future quantum decryption threats. This release also includes Oracle Jipher 20 for NIST...
A collaboration between ORNL, IonQ, NVIDIA, and UT Knoxville introduced DQAOA-GPT, a generative AI framework that synthesizes quantum optimization cir...
Oxford Quantum Circuits (OQC) and Trust Base benchmarked hybrid quantum workloads for financial risk modeling, evaluating classical, hybrid quantum-cl...
Insider Brief PRESS RELEASE — IonQ (NYSE: IONQ), the world’s leading full-stack quantum platform and foundry, today detailed joint research with Oak R...
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...
Quantum neural networks (QNNs) are typically built from variational quantum circuits (VQCs), which are limited by local measurements. Adaptive non-loc...
We propose a compact NISQ-compatible quantum transformer architecture for synthetic QNLP sequence modelling. The model preserves the autoregressive ne...
Under the label of optical quantum computing, there are a variety of protocols and experiments that use the quantum properties of light to achieve a c...
Fujitsu has open-sourced OpenQARP, a quantum application development framework, under the Apache License 2.0. Available on GitHub, it offers over 100 ...
ParityQC has launched the Parity Twine Optimizer, a new compiler available through the IBM Qiskit Functions Catalog. This technology aims to improve q...
Quantum Computing Inc. has signed a three-year agreement with Hamad Bin Khalifa University in Qatar, focusing on quantum computing, sensing, and commu...
Hardware noise has been shown to significantly impact the accuracy of ADAPT-VQE, a ground state preparation algorithm. While previous work has studied...
Recent advances in quantum computing have been driven primarily by improvements in hardware. Here we show that substantial gains can instead arise fro...
Scalable quantum computation is expected to rely on fault-tolerant quantum computation (FTQC), in which quantum error correction (QEC) suppresses phys...
We introduce a robust quantum communication protocol that integrates classical error-control coding, entanglement distribution, and superdense coding....
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 ...
Insider Brief PRESS RELEASE — Fujitsu Limited today announced the global open-source release of its quantum application development software, Open Qua...
At IEEE Quantum Week 2026, IQM Quantum Computers announced the adoption of NVIDIA CUDA-Q Logical within their Halocene quantum error correction produc...
BlueQubit has launched the "Quantum Flywheel" grant program, offering $150,000 in compute credits over three months for quantum algorithm discovery, a...
QClairvoyance Quantum Labs has partnered with IITM–C-DOT Samgnya Foundation, India's National Hub for Quantum Communication, to advance the Indian qua...
The Clifford hierarchy is a nested sequence of sets of quantum gates that can be fault-tolerantly performed using gate teleportation within standard q...
A quantum classifier assigns labels by evolving an input quantum state and measuring the output, so repeated executions reveal only a distribution ove...
Product-formula Hamiltonian simulation is naturally suited to near-term quantum processors, but its accuracy is set by two competing errors: finite-st...
Quantum neural networks are a prominent model of quantum machine learning. Their training consists in the minimization of a given loss function over a...
Non-Gaussian gates remain a key bottleneck for universal continuous-variable (CV) quantum computation because the nonlinearities they require are diff...
Dynamic circuits, which augment unitary operations with mid-circuit measurements and classical feedforward, can generate long-range entanglement in co...
The compilation of an algorithm can vary significantly with the choice of physical hardware platform and error correction model. Yet, current compilat...
We introduce a framework for distributed quantum inference under communication constraints. In our model, $m$ distributed nodes each receive one copy ...
The Control Variational Quantum Eigensolver (ctrl-VQE) directly optimizes microwave pulses to enable faster and lower-error quantum-state preparation,...
NEC Corporation has ceased its research and development into superconducting quantum computers, shifting focus to quantum-inspired annealing and class...
The struggle of the hour in quantum computing research is achieving effective suppression of the error mechanisms induced by the interaction of extern...
Efficiently characterizing quantum error correcting codes is a key challenge on the path to fault-tolerant quantum computation. Stabilizer codes, a ce...
Insider Brief PRESS RELEASE — QunaSys Inc. (headquartered in Bunkyo-ku, Tokyo; Representative Director and CEO: Tennin Yan; hereinafter “QunaSys”), a ...
Distributed quantum computing (DQC) offers a promising approach to scale quantum computing by overcoming the resource limitations of a single quantum ...
High-rate quantum low-density parity-check (qLDPC) codes can substantially reduce qubit overhead relative to surface codes, but their advantage depend...
Floquet driving uses periodic controls to tailor the behavior of quantum systems, with applications in quantum analogue simulation, sensing, and the p...
Exact CNOT synthesis asks for a minimum-size CNOT circuit implementing an invertible linear transformation. Although several related synthesis models ...
Random quantum objects are powerful resources for quantum information processing, yet exact Haar randomness is costly and typically unnecessary. We in...
Researchers from MIT have designed a new qubit architecture that enables qubits to interact with each other much more quickly while remaining very sta...
Insider Brief PRESS RELEASE — Quantum computers have arisen as a possible solution for highly complex mathematical problems, offering “quantum advant...
Quantum error correction acts as an entropy pump, transferring noise-induced uncertainty from a protected quantum system into syndrome information sto...
The hidden world of quantum mechanics exists at scales many orders of magnitude smaller than living organisms, yet scientists have long theorized that...
We introduce Coherent Quantum Learning (CQL), a training framework for quantum learning models in which the model parameters are quantum degrees of fr...
Numerical integration with Monte Carlo methods is a central computational task in many scientific and industrial applications, including financial der...
Quantum computing developer Rigetti Computing and researchers from Purdue University have published joint research extending Rigetti's quantum precond...
Simulating quantum error correction (QEC) circuits including non-Clifford gates at scale is important to accelerate progress toward fault-tolerant qua...
Photonic quantum hardware developer PsiQuantum and the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory have established a strategic s...
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...
Precise control of multi-qubit architectures remains a critical bottleneck in superconducting quantum processors. In this work, we investigate the syn...
Programmable quantum annealers can realize real-time dynamics of frustrated transverse-field Ising models on large, nontrivial graphs. Recent work by ...
We give a sampling problem that is solvable by shallow quantum circuits, hard for polynomial-time classical algorithms under lattice-based assumptions...
Sampling-based quantum diagonalization method exploits Quantum-centric supercomputing platforms to sample bitstrings for Hamiltonian projection on a q...
This paper introduces QXymb, a general framework for constructing observational declarative twins of quantum circuits, and develops QILP-0, its first ...
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...
Neutral atom qubits are one of the leading approaches for implementation of a large scale quantum computer. The original proposals for neutral atom qu...
The dynamical Lie algebra (DLA) governs the controllability, expressibility, and simulation complexity of a quantum system. Explicitly computing it ha...
Entanglement-based networks provide a scalable framework for multiuser quantum communication by passively routing spectrally correlated photon pairs a...
Pessiland is a world where NP is hard on average but one-way functions (OWFs) do not exist [Impagliazzo 1995]. Because almost all classical cryptograp...
Quantum key distribution (QKD) guarantees information-theoretic security by the laws of physics, but deployment at scale requires compact, manufactura...
Entanglement of purification is a fundamental measure of total correlations whose additivity remains unresolved. We study its additivity for classical...
Variational quantum algorithms (VQAs) suffer from unstable optimization due to temporal noise drift and static qubit mappings that distort gradient si...
We introduce determinant quantum-quantum Monte Carlo (DQ$^2$MC), a quantum algorithm that lifts the auxiliary-field sampling and averaging at the oper...
Quantum Reservoir Computing (QRC) processes temporal data by retaining a memory of past inputs in the recurrent state of a quantum system, whereas a Q...
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...
Entanglement gives rise to correlations between distant quantum systems that cannot be explained by local realistic theories. Bell inequality violatio...
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...
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 ...
Tel Aviv-based quantum technology developer Quantum X Labs Inc. (Nasdaq: QXL) has launched Qatacomb, a research initiative operating through its Quant...
The pursuit of a quantum theory of gravity, aiming to unify general relativity and quantum mechanics, remains one of the most enduring challenges in p...
Accurately estimating expectation values of observables from a finite number of measurement shots is a central challenge in quantum information scienc...
The threshold theorem states that quantum computations can be made reliable below a physical error threshold, at the cost of additional physical qubit...
The Koopman-von Neumann framework has been proposed to design quantum algorithms for non-linear dynamics. It maps a non-linear ordinary differential e...
Counting processes provide a fundamental description of stochastic events ranging from photon detection to clock ticks. A central question is how accu...
Qubit-efficient quantum relaxations compress classical decision variables into expectation values on substantially fewer qubits. We ask what resource ...
Decoherence imposes severe limits on quantum circuit depth, motivating methods to reduce circuit depth. Operator backpropagation has recently been pro...
Quantum simulation of strongly correlated fermionic systems is among the most promising near- term applications of quantum computing, but its practica...
Insider Brief Press release – Xanadu Quantum Technologies Limited (“Xanadu“; NASDAQ/TSX: XNDU), a leading photonic quantum computing company, has anno...
Although quantum error correction is widely believed to be necessary for impactful applications of quantum computers, the design of quantum error corr...
Translating observed data into a reliable estimate of the secure key rate is a crucial step for operating a quantum key distribution device. We provid...
We introduce a novel physics-guided linear mapper (PGLM) for quantum error mitigation that uses seven distinct interpretable features derived from cir...
Accurate identification of unknown quantum systems is essential for quantum computing, sensing, and control because the Hamiltonian governs quantum st...
Gate synthesis and circuit optimization are usually studied separately, and evidence on their interaction is contradictory: ZX-calculus rewriting remo...
We present a route-resolved comparative assessment of Rigetti's Cepheus-1-108Q and IBM Heron-r2 processors using the established 'do-nothing' state-tr...
Conventional Quantum Key Distribution (QKD) requires the transmission of qubits proportional to or exceeding the length of the key, as protocols such ...
Quantum processors encode an N-point field in log_2(N) qubits, which renders nonlinear wave equations an important application for quantum simulation....
Quantum error mitigation (QEM) is at the very heart of near-term quantum simulations and lattice gauge theories are no exceptions, rather their physic...
Canadian cybersecurity developer Crypto4A Technologies Inc. has received NIST FIPS 140-3 Level 3 validation for QASM™, the core cryptographic module i...
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...
Achieving fault-tolerant quantum computing at a practical scale demands quantum error correction (QEC) codes with high encoding rates. Quantum low-den...
Quantum networks will combine optical fibre with free-space links, yet continuous-variable quantum key distribution (CV-QKD) has been developed predom...
We develop a quantum algorithm for solving the dynamics of the nonlinear viscous Burgers equation. We apply the Carleman linearization procedure on th...
These notes develop four interconnected ways of reading a quantum circuit. A circuit for us begins as an operational composition of gates; then, it be...
We investigate quantum thermometry in Ohmic-type reservoirs using two-qubit probes within an exactly solvable pure-dephasing framework. By analyzing t...
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...
The practical implementation of quantum algorithms on noisy intermediate-scale quantum devices encounters operational limitations due to decoherence a...
Calderbank-Shor-Steane (CSS) codes, constructed from nested classical codes $C_2 \subseteq C_1$, are typically optimized for good code parameters. How...
We introduce Bernstein-Vazirani Networks (BVNs), a non-variational quantum machine learning framework that leverages quantum interference for supervis...
Practical fault-tolerant quantum computing (FTQC) requires efficient lattice surgery (LS), so that large algorithms fit on resource-constrained quantu...
Clifford circuits play a foundational role in quantum computing, particularly due to their importance in quantum error correction and fault-tolerant l...
This paper extends a recently proposed Variational Quantum Algorithm framework for nonlinear elasticity to a broader class of constitutive nonlinearit...
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 ...
Neutral-atom arrays are emerging as a leading platform for scalable quantum error correction (QEC). Qubits are routed and reused across the array, whi...
In fault-tolerant quantum computing systems with biased noise, Clifford deformation can substantially reduce the logical error rate (LER) without addi...
Erbium ions (Er$^{3+}$) in cerium dioxide (CeO$_2$) represent a promising spin-photon interface for quantum communication, but the mechanisms limiting...
Energy shifting is usually trivial in imaginary-time evolution because it changes only the normalization of the evolved state. On a quantum computer, ...
The quantum approximate optimization algorithm (QAOA) targets NP-hard maximum-likelihood (ML) detection in multiple-input multiple-output (MIMO) syste...
Insider Brief Press release – D-Wave Quantum Inc. (NASDAQ: QBTS), the only dual-platform quantum computing company providing both annealing and gate-m...
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...
Variational quantum sensing offers a promising route to high-precision parameter estimation, but its performance depends strongly on the circuit archi...
Insider Brief Chicago Mayor Brandon Johnson faced sharp opposition from Southeast Side residents Saturday over a planned $9 billion quantum computing ...
Federated deployments of variational quantum classifiers are attractive for cross-organisation risk prediction in supply chains, because raw data neve...
We study quantum simulation of SU(3) non-Abelian gauge theory dynamically coupled with fundamental fermions in $3+1$ dimensions by employing the latti...
New classical simulation technique makes it practical to benchmark large-scale logical magic-state preparation protocols under realistic noise conditi...
Insider Brief PRESS RELEASE — Two recent scientific publications from the Fraunhofer Institute for Applied Solid State Physics IAF shed light on how t...
Quantum processors with native multi-qubit gates may offer very efficient implementations of near-term quantum algorithms on noisy hardware. Here, we ...
The authors present a rigorous empirical evaluation of three distinct optimization paradigms for institutional factor portfolio construction: an entro...
Quantum technology has the potential to transform scientific discovery, but quantum advantages often require processing capabilities well beyond the r...
Unitary designs provide finite-moment approximations to Haar-random unitaries, with wide-ranging applications across physics and quantum information, ...
Photonic quantum computing developer Xanadu Quantum Technologies Limited (NASDAQ/TSX: XNDU) has announced a strategic research partnership with the Un...
Ensuring ancilla safety is a critical correctness requirement for quantum compilation, since ancilla qubits are routinely introduced to implement comp...
From fluid flow and transport to collective dynamics, numerical simulation of nonlinear partial differential equations underpins modern scientific com...
As quantum computing progresses from proof-of-principle demonstrations toward practical utility, a significant impediment is the need to augment algor...
Scientific simulations demand methods combining scalability with predictive accuracy. Density Functional Theory (DFT) on High-Performance Computing (H...
When quantum information initially stored in a local qubit disappears, it need not be lost: it may have moved into nearby degrees of freedom or become...
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...
Generating entanglement rapidly and reliably is essential for quantum information processing, communication, and metrology. Dissipative preparation is...
This paper investigates a quantum extension of classical Multiple-Input Multiple-Output (MIMO) communication in which the conventional linear channel ...
Distributed quantum computing provides a scalable route for executing quantum circuits beyond the capacity limits of a single quantum processing unit ...
This paper aims to contextualize the requirements for Quantum Computing (QC) algorithms to achieve a quantum advantage in solving the alternating curr...
Shor's algorithm is a canonical quantum supremacy target whose core operation relies on the Quantum Fourier Transform (QFT). We resolve an open questi...
Xanadu Quantum Technologies Ltd. (NASDAQ/TSX: XNDU) has announced its financial results for the second quarter ended June 30, 2026. The Toronto-based ...
Insider Brief A preliminary paper from an Amazon Web Services cryptographer describes a polynomial-time quantum algorithm for a long-standing mathemat...
Quantum optimization has attracted growing interest as quantum hardware continues to improve, yet state-of-the-art classical solvers remain a formidab...
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...
This post was contributed by Martin Schuetz and Ruben Andrist from the Amazon Advanced Solutions Lab, and Romina Yalovetzky and Atithi Acharya from Gl...
Extracting total correlations from a quantum system usually requires reconstructing its state, whereas many experiments access only a few measurement ...
Dynamic quantum circuits (DQCs) provide a hardware-efficient route to quantum computing by reducing physical-qubit overhead and compressing circuit to...
Hamming weight computation maps an $n$-bit input to the number of ones it contains. It is a basic subroutine in quantum computing, and the core buildi...
Partial dynamical symmetry (PDS) is an algebraic structure in which a prescribed symmetry is neither exact nor completely broken: a subset of eigensta...
Tensor-network contraction simulates quantum circuits, but modern matrix accelerators (NPUs, TPUs) expose only real GEMM pipelines, so the complex net...
Quantum error correction (QEC) is indispensable for building scalable fault-tolerant quantum computers. Effective QEC demands stringent real-time deco...
Quantum error correction (QEC) and Quantum Darwinism describe opposing consequences of system-environment interactions: QEC seeks to preserve logical ...
Insider Brief Press release – According to the 2026 Thales Data Threat Report, the threat of Harvest Now, Decrypt Later (HNDL) attacks was the top-cit...
Insider Brief Jim Cramer said he plans to sell his bitcoin — perhaps not coincidentally — after IBM Chairman and CEO Arvind Krishna warned that invest...
This study investigates the generation and enhancement of quantum entanglement in an electro-optomechanical ring cavity system. The setup integrates t...
Quantum algorithms based on linear-system approaches for solving differential equations demand qubit and precision resources beyond near-term capabili...
Photonic multi-qubit entanglement is key to optical quantum information processing, particularly universal quantum computing. Yet multi-photon sources...
We investigate a quantum Otto engine (QOE) constructed from the two-qubit quantum Rabi model, operating within a cavity quantum electrodynamics (QED) ...
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...
Insider Brief Press release – SEALSQ Corp (NASDAQ: LAES) (“SEALSQ” or the “Company”), a global leader in post-quantum semiconductor and cybersecurity ...
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...
This paper proposes a multi ring M-APSK constellation optimization method for discrete-modulated continuous variable quantum key distribution. Unlike ...
Superconducting quantum computer developer IQM Quantum Computers (Nasdaq: IQMX) and European rail operator Deutsche Bahn have published joint research...
Qubit loss occurs when the physical carrier of a qubit leaves the computational system without directly revealing the event's location. Such errors ar...
The proliferation of power electronics in multi-terminal transmission grids has increasingly led to harmonic distortions and dynamic instabilities. Wh...
Quantum error correction (QEC) codes can correct twice as many erasure errors as Pauli errors. Because of this scaling advantage, there is significant...
Insider Brief The post-quantum conversation has focused heavily on which algorithms to adopt, but algorithm selection is the second problem, not the f...
Silicon-based donor flip-flop qubits offer a promising path toward scalable, fault-tolerant quantum computing by combining the long coherence times of...
IBM and a coalition of research collaborators—including the University of Chicago, Qedma Quantum Computing, Algorithmiq, RIKEN, and BlueQubit—have ann...
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...
Analog quantum processors based on Rydberg atom arrays are a powerful platform for many-body quantum simulation, combinatorial optimization, and graph...
Optimization problems are among the leading candidates for industrially relevant quantum advantage. Decoded quantum interferometry (DQI) has been prop...
Insider Brief Researchers from Quantinuum, NVIDIA and Pfizer have developed an artificial intelligence system that learns to generate quantum circuits...
Topological data analysis (TDA) provides a powerful framework for extracting information about the shape of complex, unstructured data, but the classi...
Modular quantum computing is a leading paradigm for scaling quantum computation beyond the resource limitations of monolithic devices. In this archite...
The Non-Equilibrium Green's Function (NEGF) is the standard formalism for nano-scale electron transport. By recasting the NEGF scattering problem as a...
We demonstrate an end-to-end hybrid quantum-classical optimisation framework based on Benders decomposition, capable of solving mixed-integer linear p...
The dynamics of a nuclear spin bath generates magnetic noise that is a key contributor to the decoherence of electron spin qubits in electrostatically...
Quantum computers are moving from research laboratories to industrial machines accessible via the cloud and integrated into high-performance computing...
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...
Optimal control problems arise in a wide range of scientific disciplines, but the corresponding optimization algorithms often display a strong depende...
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...
Completely positive (CP) matrices are ubiquitous in modern science and technology with applications in optimization, graph theory, and quantum entangl...
Telecommunications leader AT&T (NYSE: T) has signed a commercial agreement with D-Wave Quantum Inc. (NASDAQ: QBTS) to expand its use of quantum anneal...
Quantum software provider Qedma has announced a technical integration with Quantinuum, making its Quantum Error Suppression and Error Mitigation (QESE...
Quantum state preparation is a key component of many quantum algorithms. Performing this step efficiently is essential for realizing practical quantum...
This is a short study of an approach offering high tolerance to damage (i.e. defects or 'drop outs') in solid state fault-tolerant quantum computing. ...
We introduce Quantum-Informed Surrogate Sampling (QISS), a post-processing framework that generates candidate solutions to combinatorial optimization ...
To maximize the value of fault-tolerant quantum computers, it is essential to develop concrete applications beyond well-established domains such as ch...
Entanglement purification protocols (EPPs) are essential for improving entanglement fidelity to support fault-tolerant distributed quantum information...
We present a strategic plan for neutral atom quantum computation, bringing together hardware development and theory advancements to achieve the goal o...
Variational quantum algorithms are a leading approach to near-term quantum computing, but their scalability can be limited by barren plateaus and the ...
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...
We propose a protocol for preparing mechanical Schrödinger kittens -- mesoscopic quantum superpositions of coherent motional states of an optically le...
Insider Brief PRESS RELEASE — Quantinuum (NASDAQ: QNT) and SoftBank Corp. (“SoftBank”) today announced the publication of “Quantum Computing Frontiers...
The Variational Quantum Eigensolver (VQE) is a leading algorithm for estimating molecular ground-state energies on near-term quantum hardware, with ap...
The Dicke model provides a fundamental description of collective light-matter interactions and has long served as a testbed for exploring a wide range...
This post was contributed by Dimitar Trenev, Sebastian Stern, Tyler Takeshita, Cedric Lin, Peter Komar, Pooja Rao, Jerome Gonthier, and Elica Kyoseva....
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 machine learning on real noisy intermediate-scale quantum (NISQ) hardware has remained largely confined to binary or few-class tasks, limited ...
Quantum key distribution (QKD) over non-stationary channels, such as satellite links, is characterized by short, high-loss, and strongly fluctuating t...
Insider Brief PRESS RELEASE — IQM Quantum Computers (Nasdaq: IQMX), a global leader in full-stack superconducting quantum computers, today published t...
We develop a sparse operator-centric realization of $n$-qubit variational quantum algorithms in the complex Clifford algebra $\mathrm{Cl}(2n,\mathbb{C...