84 curated articles
Insider Brief Press release – On July 9, 2026, Logical Qubit Technology Co., Ltd hosted its Quantum Day 2026 event, officially unveiling its superconducting quantum computing cloud platform. The platform delivers high-performance quantum computing cloud services to universities, research institution...
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...
Quantum materials are a class of exotic materials with special properties that are governed by quantum mechanics rather than classical physics. Those ...