195 curated articles
Quantum processors with native multi-qubit gates may offer very efficient implementations of near-term quantum algorithms on noisy hardware. Here, we introduce the multiunimon, a superconducting multimode circuit that encodes multiple qubits and enables native multi-qubit gates in a device consistin...
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...
A multi-institutional collaboration including Quantinuum, the University of Chicago Pritzker School of Molecular Engineering (UChicago PME), Harvard U...
Quantum LPDC codes provide a substantial reduction in qubit overhead required for fault-tolerant quantum computation compared to surface code, thanks ...
Interactions of cosmic rays and other forms of ionizing radiation pose a significant challenge to the reliable operation of state-of-the-art quantum d...
While quantum computers promise to solve classically intractable problems, identifying the point at which fault-tolerant quantum computation outperfor...
Hybrid quantum systems offer a route to combining the complementary strengths of distinct quantum platforms while mitigating their limitations. A part...
The Variational Quantum Eigensolver (VQE) and its adaptive variants, such as ADAPT-VQE, are central to the study of strongly correlated quantum system...
Quantum computing and quantum simulation with ultracold neutral atoms require Rydberg excitation of individual atoms in atomic arrays. Rydberg states ...
Neutral-atom arrays and trapped-ion crystals offer complementary strengths for fault-tolerant quantum computing but lack a fast way to deterministical...
Alternating Current Optimal Power Flow Unit Commitment (AC-OPF-UC) is a difficult mixed-integer nonlinear optimization problem that combines binary ge...
Subspace Quantum Diagonalization (SQD) recovers ground-state energies by classically diagonalizing a Hamiltonian in the subspace spanned by quantum sa...
Low-overhead quantum error-correction schemes are essential for enabling quantum computation on registers containing multiple logical qubits. For plan...
Exact fermion to qubit transformations are conventionally regarded as algorithmic tools that translate many-body Hamiltonians into qubit representatio...
Gauge theories and quantum error-correcting codes share the same underlying structure: both use constraints to identify a specific subspace of the ful...
Insider Brief A Louisiana State University-led team of researchers have demonstrated what they describe as a new class of room-temperature quantum mat...
Insider Brief PRESS RELEASE — Mind Success, a startup focused on predictive modeling for quantum technologies, has launched two software platforms aim...
Hybrid continuous-discrete-variable quantum processors can represent bosonic degrees of freedom directly in oscillator modes, or qumodes, while using ...
Understanding the properties of defects is imperative for proper use for variety of applications including quantum computing. In this paper, we use th...
Schrödinger cat states provide a hardware-efficient platform for bosonic quantum error correction by encoding logical information in protected manifol...
Quantum phase transitions provide a controlled route for generating many-body excitations, but the dynamics after the critical point can be as importa...
Levitating electron qubit on the surface of solid neon has recently emerged as a promising and intrinsically noise-resilient platform for quantum info...
Hybrid quantum-classical application performance is increasingly limited by classical control, host-to-QPU communication, and scheduling rather than q...
Fault-tolerant quantum computing requires a continuous hybrid quantum error correction (QEC) pipeline comprising measurement readout, syndrome transpo...
Large ion crystals in diverse geometries are a key resource for quantum simulation experiments. In this work, we introduce a macroscopic rf trap that ...
Quantinuum (NASDAQ: QNT), Rolls-Royce, Riverlane, and EPCC (the UK National Supercomputing Centre at the University of Edinburgh) have announced a mul...
Efficient communication between distant qubits is one of the central challenges in scaling quantum processors. Although engineered spin chain protocol...
Neutral-atom quantum processors are rapidly scaling toward system sizes of more than ten thousand qubits, allowing for the realization of a new class ...
Logical entangling gates are a major source of physical spacetime overhead in fault-tolerant quantum computation. Phantom codes reduce this cost by im...
Quantum PDE solvers are difficult to evaluate in practice because published studies use different discretizations, output models, reconstruction rules...
Physics-informed neural networks (PINNs) provide a pathway to reunify the simulation and control of quantum systems, in which these two tasks are typi...
Large-scale Greenberger-Horne-Zeilinger~(GHZ) state is useful for quantum technologies but difficult to be prepared. Here, we propose fast measurement...
Insider Brief Press release – On July 9, 2026, Logical Qubit Technology Co., Ltd hosted its Quantum Day 2026 event, officially unveiling its supercond...
Insider Brief PRESS RELEASE — Quantinuum Inc. (NASDAQ:QNT), Rolls-Royce, Riverlane and EPCC, the UK National Supercomputing Centre based at the Univer...
The sample complexity is the minimum number of copies required to learn an accurate classical description of a quantum state. Bosonic and fermionic Ga...
Which properties of a quantum many-body system are operationally accessible is a central question underlying spectroscopy, thermodynamics, and quantum...
Gate-based digital quantum simulations offer an exciting new paradigm for studying the many-body physics of strongly correlated systems. In this conte...
We investigate the use of variational quantum algorithms to prepare and characterize fractional quantum Hall states on near-term quantum processors. F...
Quantum design-automation developer QC Design has published a comprehensive theoretical framework and software specification detailing its flagship ar...
The identification of molecules that combine long spin coherence times and efficient spin-optical interfaces, ideally at room temperature, is pivotal ...
The nuclear shell model is a general way of expressing the many-body nuclear Hamiltonian and deciphering the underlying nuclear structure. In today's ...
Quantum error correction compatible with continuous symmetries is a fundamental problem in quantum information and a possible route to robust analog q...
The emergence of Quantum Software Engineering (QSE) responds to the need for systematic, disciplined, and quantifiable approaches to the development, ...
Designing fault-tolerant quantum circuits that are both algorithmically correct and hardware compatible remains a major bottleneck in the transition t...
Nonlinear dynamics is ubiquitous in nature, ranging from chemical pattern formation to ocean circulation, yet its simulation on quantum computers is f...
Author(s): Zheyuan Li, Rupsa De, Rishi Sivakumar, William Huie, Hao-Tian Wei, Justin D. Piel, Chris H. Greene, Kaden R. A. Hazzard, Zoe Z. Yan, and Ja...
Achieving a genuine quantum advantage relies on two distinct non-classical resources that restrict efficient classical simulation: entanglement and ma...
Dynamical structure factors (DSF) measured with neutron-scattering experiments provide key insights into the structure of materials. Their computation...
Given that quantum computers are naturally suited to simulate the behavior of quantum many-body systems, an immediate question arises: can one formula...
Light polarization is a primary degree of freedom for encoding quantum information. The scaling up of photonic quantum networks and computer architect...
By Dr. Kris Naudts, Zeynep Koruturk and Donald Harmitt @ Firgun Ventures. Firgun Ventures is a VC firm investing in Series A/B quantum scale-ups globa...
We introduce population-transfer dynamics as a practical validation observable for active-space-derived reduced Hamiltonians in multistate reaction-ce...
A research collaboration between Oak Ridge National Laboratory (ORNL), the Cleveland Clinic, and IBM Quantum has completed the first heterogeneous qua...
Circular states in Rydberg atoms offer a promising platform for quantum computation, quantum simulation and quantum sensing. However, the final step o...
We introduce a superconducting digital-to-analog converter (DAC) that filters control noise, provides native multiplexing, performs quantum gates in n...
Insider Brief Press release – IQM Quantum Computers (Nasdaq: IQMX) (“IQM”, “IQM Quantum Computers” or the “Company”), a global leader in full-stack su...
Insider Brief A team of scientists from Oak Ridge National Laboratory (ORNL), Cleveland Clinic, and IBM (NYSE: IBM), have calculated nine molecular co...
Quantum Architecture Search (QAS) automates the design of parameterized quantum circuits for variational quantum algorithms, yet existing benchmarks o...
Finite quantum environments can relax local probes without acting as canonical baths. We study this distinction for a probe qubit coupled to a program...
Quantum networks can exhibit nonclassical correlations that cannot be explained by classical models with independent sources. While the role of entang...
A research collaboration led by the Lawrence Berkeley National Laboratory (LBNL) has successfully simulated hadronization—the fundamental particle phy...
Three-dimensional superconducting radio-frequency (SRF) cavities provide exceptionally long-lived electromagnetic modes and, when coupled to nonlinear...
Fermionic non-Gaussianity, or fermionic magic, is a key resource underlying the computational complexity of fermionic quantum systems, yet tractable a...
Achieving high-precision quantum computation requires effective suppression of idling errors that occur when qubits remain inactive during waiting per...
In the NISQ era, there is a need for resource-efficient proof-of-principle experiments that can be built up to genuine utility. Single-qubit classifie...
Insider Brief PRESS RELEASE — Archer Materials Limited (ASX: AXE), an Australian quantum technology company, has signed a strategic Quantum Compute Ag...
Block encodings are a central primitive in quantum algorithms, but standard constructions typically require logarithmic ancilla overhead and complicat...
The transverse-field Ising model has attracted a lot of attention in recent years, especially in the quantum simulation and quantum computation litera...
Insider Brief A new AI-assisted framework may help researchers find useful patterns in quantum algorithms before they spend scarce time running them o...
Adaptive Derivative-Assembled Problem-Tailored variational quantum eigensolvers (ADAPT-VQE) represent one of the most promising approaches for quantum...
Superconducting quantum chips commonly utilize quarter-wavelength (λ/4) transmission line resonators as readout circuits. An analytical model for the ...
Silicon spin qubits are promising for large-scale quantum-computer integration because they can fully leverage the well-developed semiconductor infras...
We present a quantum-information-theoretic study of three-flavor neutrino oscillations in long-baseline experiments by mapping flavor states to qubit-...
The gate and qubit requirements of quantum computations of electronic structure have been extensively studied. However, the quantum resources present ...
Practical hardware limitations, including finite transmitter and receiver filter lengths as well as the finite resolution of digital-to-analog and ana...
Calculation of binding energies for protein-ligand molecular systems requires accurate treatment of the electronic structure, a quantum chemistry prob...
Quantum entanglement is one of the most intriguing features of quantum mechanics. To investigate the entanglement between two excitons in a biexciton,...
Fault-tolerant quantum computing requires architectures that simultaneously address scalability, connectivity, and error correction under realistic no...
Decoherence is the biggest bottleneck in all quantum technologies. For nitrogen-vacancy (NV) centers in diamond, the loss of coherence is caused by th...
Quantum computing provides a powerful paradigm for representing and transforming high-dimensional information through superposition, entanglement, and...
Hamiltonian dynamics have been widely implemented on noisy intermediate-scale quantum devices in recent years. In contrast, experimental demonstration...
Achieving high-fidelity execution on noisy intermediate-scale quantum (NISQ) hardware requires careful selection of physical qubit layouts, as gate er...
We introduce a surface-code cultivation protocol for reusable logical catalyst states that implement exact fine dyadic phase gates $Z^{2^{-b}}$ by pha...
Superconducting transmon processors represent a leading platform for large-scale quantum computing due to their high gate fidelities and scalability. ...
Graphs provide a natural language for relational data in chemistry, biology and optimisation. Graph neural networks (GNNs) have driven much of the rec...
Overview of transversal STAR architecture. QuEra Computing and Los Alamos National Laboratory have introduced a co-designed quantum computing architec...
Software developer Classiq and innovation center Hatch have completed a computational chemistry proof-of-concept (PoC) to estimate molecular binding e...
Spatial light modulators (SLMs) have emerged as reconfigurable platforms for photonic quantum information processing, offering software-defined contro...
States with negative Wigner functions form a fundamental class of nonclassical resource underlying quantum advantage. Here we develop a unified framew...
From cosmology to quantum matter, metastable states often decay through the nucleation and growth of competing domains, with false vacuum decay provid...
Useful quantum algorithms require many coupled discrete design choices. We study LLM-driven evolutionary program synthesis -- a language model edits a...
We present the analytical generators for arbitrary multi-qubit controlled gates. Closed forms for the generating Hamiltonians are given for gates with...
Insider Brief PRESS RELEASE — Quantum Elements and USC today announced the publication of a new Quantum Monte Carlo algorithm in Physical Review Lette...
Insider Brief PRESS RELEASE — Classiq and Hatch today announced the completion of a quantum-classical computational chemistry proof-of-concept (PoC), ...
End-to-end QPE circuit with our custom MPS-to-circuit compiler to address state preparation. Silicon spin hardware developer Quantum Motion and comput...
Quantum low-density parity-check (qLDPC) codes are promising candidates for realizing large-scale fault-tolerant quantum computing. Although many code...
UK-based photonic quantum computing company Aegiq has unveiled a series of technical milestones that integrate artificial intelligence and tensor netw...
Quantum communication between two distant parties will serve as a cornerstone of the future quantum internet. However, generating enough entangled Bel...
Multi-qubit systems are essential for scalable quantum technologies, but their performance is often limited by decoherence from qubit--qubit interacti...
Fault-tolerant quantum error correction requires repeated syndrome extraction to address errors induced by the syndrome-extraction circuit itself. How...
We propose gate-defined spin qubits in electrostatically confined altermagnetic quantum dots. Elliptical confinement of the $d$-wave altermagnetic str...
Yuval Boger interviews Helmut Katzgraber, general partner at 55North and former quantum leader at AWS. They discuss Helmut’s view that the most promis...
Insider Brief PRESS RELEASE — A research team led by Professor Hao-Wu Lin from the Department of Materials Science and Engineering at National Tsing H...
Quantum machine learning methods are increasingly explored for modeling complex environmental systems, including groundwater heat plume dynamics. In t...
Introduction In biochemical processes development and analysis, binding energy, the energy released when a small molecule docks into a protein’s activ...
Drawing on advances in superconducting qubit control schemes that unlock enriched native gate sets at the hardware level, we systematically examine ho...
Quantum platforms with beyond-planar connectivity provide new opportunities for fault-tolerant quantum computation (FTQC). While quantum low-density p...
Independent researchers from the IBM Quantum Network have published two separate technical studies validating real-world applications on the IBM Night...
The pursuit of quantum advantage is driving the co-evolution of quantum processors and classical simulation methods. Despite advances in scale and qua...
The surface code is a promising route towards large-scale quantum computing, requiring only nearest-neighbour gates amenable to superconducting hardwa...
An efficient implementation of quantum algorithms is often hindered by the lack of efficient primitives for operators and state preparation. This limi...
We present the Grover adaptive search self-consistent field (GAS-SCF) algorithm. GAS-SCF leverages quantum arithmetic to construct an efficient oracle...
For quantum algorithms to achieve their full potential, we need methodologies to optimize them, such as reaching a given output accuracy with minimal ...
Mirror randomized benchmarking (MRB) is an established technique that provides a global error metric at the scale of a whole QPU. To expand upon this ...
Continued advancements in quantum computing have stimulated growing interest in translating quantum technologies into real-world applications. Consequ...