160 curated articles
Google Quantum AI and Google.org have launched the Research Program at the Intersection of Life Sciences & Quantum AI (REPLIQA), a $10 million initiative dedicated to applying quantum science and artificial intelligence to molecular biology. The program provides foundational research funding to five...
The U.S. Department of Energy (DOE) has issued a formal Request for Information (RFI) to identify companies capable of deploying a scientifically rele...
Insider Brief PRESS RELEASE — Quantum technologies, which harness nature at the tiniest scales, hold the potential to transform how people compute, co...
The classical simulation of quantum algorithms is a crucial tool for circuit development, testing, and validation. Although acceleration using GPUs si...
Mode-pairing quantum key distribution (MP-QKD) protocol achieves performance beyond the repeaterless rate-transmittance bound and exhibits excellent p...
In quantum many-body dynamics, locally encoded information typically scrambles across the entire system, becoming inaccessible to local probes. The up...
High-purity germanium (Ge) has re-emerged as a versatile semiconductor platform for spin-based quantum information processing because it combines matu...
A new quantum-inspired algorithm has cracked a problem so massive that conventional supercomputers struggle to even approach it. Researchers used the ...
Hybrid quantum--classical pipelines increasingly support applications such as drug discovery, fraud detection, and cloud quantum processing unit (QPU)...
Quantum information platforms enable analog quantum simulations, such as quantum annealing, offering a promising route to solving complex combinatoria...
We investigate the quantum computing of the vibrational dynamics of CO$_2$ and H$_2$O by constructing the vibrational Hamiltonian in qubit and qudit f...
We investigate the purification dynamics of a single qubit under continuous in time monitoring. By employing a collisional model framework where the s...
Measurement-based quantum computing uses measurement patterns on predefined quantum resource states to execute quantum logic. Quantum simulation offer...
Barren plateaus in variational quantum circuits are commonly attributed to strong mixing dynamics that cause gradient variance to vanish exponentially...
We develop an adiabatic quantum simulation framework on gate-based quantum computers to probe topological signatures of the one-dimensional fermionic ...
While world models learn compact representations of complex environments, they lack a physics-grounded metric to assess the structural fidelity of the...
We introduce Unitaria, a Python library that brings the simplicity of classical linear algebra toolkits such as NumPy and SciPy to the implementation ...
Insider Brief PRESS RELEASE — New York University and IBM have initiated a postdoctoral program to conduct quantum computer research in the areas of c...
Quantum computers are increasingly accessible, yet demonstrations of physically meaningful simulations for real materials remain scarce. In our work w...
Integrated photonic technologies have recently shown significant advances, enabling the possibility to implement reconfigurable interferometers with i...
Examining and controlling the interaction between semiconductor quantum qubits and their environment can boost semiconductor quantum technologies, whi...
In this paper, we present SCALAR (Symbolic Conjecture and LLM-Assisted Reasoning), a neurosymbolic framework for automated conjecture generation in qu...
Variational quantum algorithms have attracted attention for their potential to solve combinatorial optimization problems. We study how the choice of e...
Insider Brief Machine learning already drives decisions across finance, drug discovery, logistics, and manufacturing. But the datasets and problems in...
Quantum low-density parity-check codes are promising candidates for low-overhead fault-tolerant quantum computing, but degeneracy is known to impair t...
Quantum simulation has begun to penetrate the field of quantum chemistry in hopes of efficiently calculating ground state energies and approximating r...
Whether chirality-induced spin selectivity (CISS) reflects coherent SU(2) spin rotation or incoherent spin-dependent filtering is a central unresolved...
Insider Brief PRESS RELEASE — Quandela and Safran Tech, Safran’s research and technology centre, have announced the launch of the AQeFLU research proj...
Gauge theories form the foundation of the Standard Model of particle physics. These theories can exhibit confinement, where charged particles only occ...
Single-photon sources that are bright, pure, and interference-ready are essential for quantum communication and photonic quantum information processin...
We present a scalable quantum simulation framework for real-time dynamics of the multi-flavor Gross-Neveu model in 1+1 dimensions. Using superconducti...
Q-CTRL, in collaboration with IBM, has demonstrated what it defines as "practical quantum advantage" by utilizing the IBM Quantum Platform to simulate...
In this work, we explore the dynamics of quantum correlations, namely coherence, entanglement, and nonlocality associated with a Bell state, in a dime...
Insider Brief PRESS RELEASE — Q-CTRL, the global leader in quantum infrastructure software, today announced it has achieved a 3,000 times speedup on a...
Quantum low density parity check (qLDPC) codes, particularly bivariate bicycle (BB) codes, achieve competitive fault tolerance thresholds while offeri...
https://youtu.be/6Rb4IfXNnAk Quantinuum and the BMW Group have formally expanded their ongoing collaboration into a multi-year partnership focused on ...
We report experimental digital quantum simulation of the one-dimensional Fermi-Hubbard model on a superconducting quantum processor at a scale beyond ...
Shor's algorithm is one of the most promising applications of quantum computers. However, since $\sim 10^6$ physical qubits are believed to be require...
Insider Brief PRESS RELEASE — Quantinuum and BMW Group have formally expanded their ongoing collaboration into a multi-year partnership with a mission...
Distributed quantum algorithms offer a promising pathway to scale variational quantum algorithms beyond the constraints of noisy intermediate-scale qu...
Dual-species arrays of ultracold neutral atoms have recently attracted increased interest due to the ability to independently control different atomic...
Insider Brief PRESS RELEASE — Scientists at Cleveland Clinic, RIKEN, and IBM (NYSE: IBM) have used IBM quantum computers and two of the world’s most p...
A new quantum physics study reveals that simply changing a magnetic field over time can unlock entirely new forms of matter that don’t exist under nor...
Insider Brief Harvard researchers say progress in quantum computing is running ahead of schedule, a pace that has already spawned three startups and i...
Researchers from the Quantum Science Center (QSC), led by teams at Purdue University, Oak Ridge National Laboratory (ORNL), and IBM, have achieved the...
The cascaded variational quantum eigensolver (CVQE) circumvents the need for iterative communication between the quantum and classical processing unit...
Fault-tolerant quantum computing is a promising tool for simulating molecules and materials, but frequently-considered applications require substantia...
The Traveling Salesman Problem (TSP) is a prototypical combinatorial optimization problem, but its quantum implementation is limited by the O(n^2)-qub...
The accurate estimation of observables is a crucial task in quantum computing. Recent advances have highlighted the need for (a) specialized protocols...
PRESS RELEASE — Saarbrücken and Frankfurt, Germany | Monday March 23rd, 2026 – Following its ambition to become completely hardware agnostic, Qruise i...
High-fidelity logical \emph{T}-gate realization constitutes a core prerequisite for large-scale fault-tolerant quantum computing. However, conventiona...
We study the entanglement distance of variational quantum states for two-qubit and multi-qubit systems. These states are constructed using variational...
Electro-optic modulators are key components for photonic quantum computing, particularly in fully cryovenic integrated platforms where low loss and co...
The Quantum Lattice Boltzmann Method (QLBM) has emerged as one of the most promising quantum computing approaches for the numerical simulation of prob...
Practical applicability of quantum optimisation on near term devices is constrained by limited qubit counts and hardware noise, which restricts the sc...
We propose a method for constructing multi-qubit entangled quantum states representing weighted tripartite graphs. An expression for the entanglement ...
Insider Brief PRESS RELEASE — Lawrence Livermore National Laboratory (LLNL) has been selected to lead a project that will receive $4.1 million in fund...
Insider Brief PRESS RELEASE — Paragraf, a leader in graphene electronics and fabrication, and Archer Materials Ltd., a technology company specializing...
A double-transmon coupler (DTC) enables a fast, high-fidelity CZ gate between two highly detuned, fixed-frequency transmon qubits. Moreover, a recentl...
In multi-core quantum computing architectures, waveguide-mediated interconnects are essential for facilitating fast, high-fidelity quantum state trans...
Insider Brief PRESS RELEASE — Qubit Pharmaceuticals, a deeptech company specializing in the discovery of new drug candidates, today announced a strate...
Complex quantum systems are often multiscale in nature with strong interactions between different scales. We present a novel idea: iteratively suppres...
We introduce a quantum algorithm for simulating the dynamics of electrical circuits consisting of resistors, inductors and capacitors (aka RLC circuit...
We present a quantum feature-selection framework based on a higher-order unconstrained binary optimization (HUBO) formulation that explicitly incorpor...
Establishing the precise computational boundary between classically tractable fermionic systems and those capable of genuine quantum advantage is a ce...
Finite local Hilbert-space truncations arise naturally in quantum simulations of lattice field theories and motivate qudit encodings, but their fault-...
Hybrid quantum--classical workflows often execute large ensembles of circuits that differ syntactically but implement identical operations, leading to...
Compiling time-evolution operators of the form $U(t)=e^{-iHt}$ into hardware-native gate sequences is a central bottleneck for digital quantum simulat...
Recent advances in quantum computing have enabled the development of quantum processors with hundreds of qubits. However, noise continues to limit the...
Artificial intelligent language-model based coding agents have significantly changed the way we interact with computers in our day-to-day, as it is co...
We study algorithms inspired by quantum annealing that are suited for the NISQ era. First, we analyze approximate quantum annealing (AQA), which emplo...
Semiconductor spin qubits are a promising platform for large-scale quantum computing, but have yet to take full advantage of the broad class of quantu...
Insider Brief A new study warns that the exotic raw materials powering quantum computers, sensors and secure communications are dangerously concentrat...
We study single-copy stabilizer learning, the problem of identifying a stabilizer group of dimension $n-t$ from an $n$-qubit quantum state $ρ$. We obt...
Symmetry-resolved spectroscopies, such as angle-resolved photoemission spectroscopy and polarization-resolved Raman, are central for quantum material ...
We study how the color code under decoherence gives rise to an intrinsic mixed-state topological order (imTO), which has no counterpart in pure ground...
Future quantum architectures are expected to be modular, with quantum processors connecting multiple quantum processing units (QPUs) via photonic inte...
Quantum computing may speed up numerical problems involving large matrices that are demanding for classical computers, and active research on this pos...
Measurement-only circuits provide a minimal setting in which repeated local projections can either generate or suppress many-body entanglement, giving...
Peaked quantum circuits, whose output distribution is sharply concentrated on a single bitstring, have emerged as a promising candidate for verifiable...
In this work, we systematically investigate the quantum-information diagnostics of cosmological perturbations with a nontrivial sound speed, utilizing...
Magnetic quantum sensors based on trapped ions utilize properties of quantum mechanics which have optimized precision and beat current limits in senso...
It was a head-spinning discovery. In 2018, researchers in Japan claimed to find concrete evidence of an elusive particle, a Majorana fermion, in a qua...
We develop a path integral representation for the dynamics of quantum systems with a finite-dimensional Hilbert space, formulated entirely within a di...
Dissipatively stabilized cat qubits are promising for fault-tolerant quantum information processing, yet their non-Hermitian (NH) spectral topology re...
We adopt a two-dimensional tensor-network (TN) ansatz to simulate variational quantum algorithms on two-dimensional qubit architectures, demonstrating...
Los Angeles-based startup Quantum Elements has announced a research collaboration with Rigetti Computing to evaluate the use of AI-native digital twin...
Recent advancements in neutral atom platforms have enabled exploration of early fault-tolerant (FT) architectures for applications with quantum advant...
We propose a fault-tolerant quantum computer architecture for trapped-ion devices, which we call the walking cat architecture. Our blueprint includes ...
Insider Brief PRESS RELEASE — Quantum Elements, a quantum software start-up based in Los Angeles, today announced it is exploring advanced digital-twi...
We simulate a long-range extended Ising model in one dimension using a hybrid quantum algorithm, namely Variational Quantum Eigensolver (VQE). In this...
We propose a broadband Purcell-protection scheme based on a single shared filter integrated directly into the feedline, enabling simultaneous protecti...
The limited number of qubits is a major bottleneck in Quantum Approximate Optimization Algorithm (QAOA) for large-scale combinatorial optimization in ...
Microwave photon detection is a key technology for low-temperature superconducting electronics and quantum information processing. A promising possibi...
Hardware topology of the IQM Sirius QPU (STAR 24) In an experimental study from researchers across India, Singapore, and the USA, IQM’s Sirius 24-qubi...
Commercially-relevant quantum computers will require large numbers of high-performing qubits that can be manufactured, integrated, and controlled at s...
Nonlinear spectroscopy is a cornerstone of quantum science, providing unique access to multi-point correlations, quantum coherence, and couplings that...
In a double-slit experiment with a bipartite system, the visibility of interference fringes depends on the availability of which-way information. Here...
Quantum technologies promise a radically new way to solve classically intractable computing problems. Superconducting circuits as a platform are at th...
Insider Brief PRESS RELEASE — The use of a quantum-inspired algorithm to calculate the unworkably vast potential properties of quantum materials is an...
Insider Brief PRESS RELEASE — An international research team led by Qclairvoyance Quantum Labs has demonstrated chemically accurate quantum simulation...
The spin-off company ParityQC has implemented the largest quantum Fourier transform ever reported using an IBM quantum computer, thereby setting a new...
We present a minimal implementation of SU($N$) pure Yang-Mills theory in $3+1$ dimensions for digital quantum simulation, designed to enable quantum a...
The classical simulation of universal quantum circuits is crucial both fundamentally and practically for quantum computation. We propose SyQMA, a simu...
Architectures could support quantum-chemistry simulations The post Collisional quantum gates created using fermionic atoms appeared first on Physics W...
Partial quantum error correction and quantum error mitigation are expected to coexist in the pre-fault-tolerant regime, yet the resource advantage of ...
Concatenating quantum error correction codes scales error correction capability by driving logical error rates down double-exponentially across levels...
We present a hardware demonstration and resource analysis of split-evolution quantum phase estimation (SE-QPE) on a Quantinuum System Model H2 quantum...
Insider Brief PRESS RELEASE — The European quantum architecture company ParityQC today announced a new record benchmark implementation of the largest ...
ParityQC, a European quantum architecture company, has announced a performance benchmark for the Quantum Fourier Transform (QFT), a foundational algor...
Matrix models are an important class of systems in string theory and theoretical physics, with applications to random matrix theory, quantum chaos, an...
We propose Scalable Quantum Molecular Generation (SQMG), a variational quantum-circuit for sampling molecular graphs using chemical priors on atoms an...
Spin shuttling has crystalized as a powerful and promising tool for establishing intermediate-range connectivity in semiconductor spin-qubit devices. ...
The logical S gate implemented via twist defect braiding in the surface code is one of the major sources of overhead in fault-tolerant quantum computi...
We propose and analyze an experimentally accessible Lindblad master equation for a quantum harmonic oscillator, simplifying a previous proposal to all...
Quantum simulation is a cornerstone application of quantum computing, yet how fundamental quantum resources--entanglement and non-stabilizerness (``ma...
Variational quantum algorithms on bosonic quantum processors are an emerging paradigm for quantum chemistry calculations, exploiting the natural align...
Nature Physics, Published online: 15 April 2026; doi:10.1038/s41567-026-03246-y Quantum simulation of equilibrium many-body systems requires the abili...
While Quantum Key Distribution (QKD) has been proven in lab environments, large-scale implementation requires integration with existing infrastructure...
We present a quantum optimization framework for the Shipment Selection Problem (SSP) in electric freight logistics, developed jointly by IonQ and Einr...
The speed and fidelity of dispersive readout of superconducting qubits should improve by increasing the amplitude of the measurement drive. Experiment...
Geometric frustration, arising from competing interactions that prevent simultaneous energy minimization, presents a fundamental challenge for variati...
Hard scattering events in high-energy collisions produce highly virtual partons that subsequently fragment into collimated hadronic cascades. When suc...
We present a hardware-validated reference dataset for variational ground-state energy calculations of the hydrogen molecule H\(_2\) on several IBM Qua...
Quantum computing is increasingly offering concrete solutions toward the simulation of nuclear structure, with the potential to overcome the exponenti...
The search for quantum-like wave formulations of the Navier-Stokes (Schrödinger-Navier-Stokes, SNS for short) equations describing classical dissipati...
We present a strategy for the quantum simulation of many-body lattice models with constrained Hilbert spaces. We focus on lattice gauge theories (LGTs...
We develop a theoretical description of quantum wave mixing (QWM) in a cascaded waveguide-QED system of two superconducting qubits, where the probe is...
Efficient ground state search is fundamental to advancing combinatorial optimization problems and quantum chemistry. While the Variational Imaginary T...
Variational quantum algorithms (VQAs) have established themselves as a central computational paradigm in the Noisy Intermediate-Scale Quantum (NISQ) e...
Efficiently simulating many-body quantum systems with Coulomb interactions is a fundamental question in quantum physics, quantum chemistry, and quantu...
In dense neutrino gases, which exist for instance in supernovae, the flavour states of different neutrinos may become entangled with one another. The ...
A method that relies on hitting materials with neutrons can measure how much quantum entanglement hides within them, which could enable new kinds of q...
We extend the SeQUeNCe discrete-event simulator with physics-based models for polarization-encoded photonic quantum networks. Our framework integrates...
The Quantum Approximate Optimization Algorithm (QAOA) is a leading framework for quantum combinatorial optimization. The Vehicle Routing Problem (VRP)...
Implementing high-fidelity controlled two-qubit gates in dipole-dipole interacting systems, such as rare-earth-ion crystals, in hindered by spectral i...
Secure communications with quantum key distribution over fiber-optic links is one of the few recognized applications of quantum physics at the level o...
The European Union is developing the European Quantum Communication Infrastructure (EuroQCI) as a pan-European network to provide secure communication...
We present a first real-time study of hadronic scattering in a $(1+1)$-dimensional SU(2) lattice gauge theory with fundamental fermions using tensor-n...
Quantum computing simulators form the classical software foundation on which virtually all quantum algorithm research depends. We present Broken Quant...
Quantum operations on pure states can be fully represented by unitary matrices. Variational quantum circuits, also known as quantum neural networks, e...
Assembling genomes from short-read sequencing data remains difficult in repetitive regions, where reference bias and combinatorial complexity limit ex...
While recent advances have established efficient quantum algorithms for preparing Gibbs states of finite-dimensional systems, comparable complexity re...
We introduce a hybrid classical-quantum algorithm for simulating a Hamiltonian of the form $H= \sum_{i=1}^K H_i = \sum_{i=1}^K H_{i_1} \otimes H_{i_2}...
Amplitude Amplification offers a provable speedup for search problems, which is leveraged in combinatorial optimization by Grover Adaptive Search (GAS...
We propose a quantum machine learning framework for estimating classical covariance matrices using parameterized quantum circuits within the Pauli-Cor...
When it comes to discriminating between two quantum states, trace distance is one of the well-known metrics used in quantum computation and quantum in...
For quantum algorithms for problems in which the task is to compute an entire field of values, like e.g. computational fluid dynamics (CFD), it is oft...
Large-scale classical simulation of IQPE quantum circuits demonstrated in this work. Larger qubit counts and more Hamiltonian terms result in deeper c...
We introduce the Adaptive Derivative-Assembled Pseudo-Trotter ansatz Variational Majorana Propagation Eigensolver (ADAPT-VMPE), a quantum-inspired cla...
Motzkin spin chain is a well-known mathematical model with connections to symmetry-protected topological phases, such as the Haldane phase, as well as...
We present a complete and rigorous model of an EPR--Bell-type experiment within the framework of the de Broglie--Bohm theory. The purpose of this work...
We introduce STAR-magic mutation, an efficient protocol for implementing logical rotation gates on early fault-tolerant quantum computers. This protoc...
Entangled quantum probes can achieve Heisenberg-limited measurement precision, but this advantage is typically destroyed by noise. We address this iss...
Quantum simulation of molecular electronic structure is one of the most promising applications of quantum computing. However, achieving chemically acc...
Enhancement of quantum battery performance is a popular subject in quantum thermodynamics. An interesting phenomenon is the quick charging effect [Phy...
Quantum simulations before fault tolerance suffer from the intrinsic noise present in quantum computers. In this regime, extracting meaningful results...
Neutral atom arrays have seen tremendous progress in quantum simulation, quantum metrology, and fault-tolerant quantum computing. However, hardware co...
The potential of quantum computing is fundamentally constrained by the inherent susceptibility of qubits to noise and crosstalk, particularly during m...
Insider Brief PRESS RELEASE — Alice & Bob announces accelerated quantum error correction decoding through GPU-accelerated simulation using the NVIDIA ...