Papers
Live trends in quantum computing research, updated daily from arXiv.
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12,895 papers in 12 months (-5% vs prior quarter)
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Papers by research theme (12 months). Hover for details.
Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Quantum Communication with Quantum Dots Beyond Telecom Wavelengths via Hollow-Core Fibers
Lorenzo Carosini, Francesco Giorgino, Patrik I. Sund +7 more·Sep 15, 2025
Quantum dot single-photon sources are promising for quantum communication. Yet, the most advanced devices operate near 900 nm, where standard single-mode fibers experience significant losses. We address this by employing a hollow-core fiber engineere...
Readout of a solid state spin ensemble at the projection noise limit
Rouven Maier, Cheng-I Ho, Andrej Denisenko +4 more·Sep 15, 2025
Spin ensembles are central to quantum science, from frequency standards and fundamental physics searches to magnetic resonance spectroscopy and quantum sensing. Their performance is ultimately constrained by spin projection noise, yet solid-state imp...
High-performance multiplexed readout of superconducting qubits with a tunable broadband Purcell filter
Yuzhe Xiong, Zilin Wang, Jiawei Zhang +14 more·Sep 15, 2025
Fast, high-fidelity, and low back-action readout plays a crucial role in the advancement of quantum error correction (QEC). Here, we demonstrate high-performance multiplexed readout of superconducting qubits using a tunable broadband Purcell filter, ...
Long-exposure Camera Readout for Coherent Control of Nitrogen-Vacancy Center Spins in Diamond
Jiahui Chen, Qilong Wu, Huihui Yu +4 more·Sep 15, 2025
Camera-based wide-field quantum noise spectroscopy (QNS) with nitrogen-vacancy (NV) center spins in diamond can be used to extract DC and AC magnetic field noise with sub-micrometer spatial resolution, but its realization is currently limited by the ...
Quantum hierarchical Fokker-Planck equations with U(1) gauge fields: Application to the Aharonov-Bohm ring
Hyeonseok Yang, Shoki Koyanagi, Yoshitaka Tanimura·Sep 14, 2025
We investigate a three-dimensional subsystem under a time-dependent U(1) gauge field coupled to rotationally invariant environments. To capture the dynamic behavior of the subsystem under thermal excitations and dissipations, it is imperative to trea...
Neural Decoders for Universal Quantum Algorithms
J. Pablo Bonilla Ataides, Andi Gu, Susanne F. Yelin +1 more·Sep 14, 2025
Fault-tolerant quantum computing demands decoders that are fast, accurate, and adaptable to circuit structure and realistic noise. While machine learning (ML) decoders have demonstrated impressive performance for quantum memory, their use in algorith...
Geometric phase in dissipative quantum batteries
Camila Cristiano, Ludmila Viotti, Paula I. Villar·Sep 14, 2025
We study the geometric phase accumulated during non-adiabatic charging of different driven open quantum systems serving as quantum battery models. We provide a full numerical analysis of dynamics under different type of noises typically reported in s...
Diagnosing Quantum Circuits: Noise Robustness, Trainability, and Expressibility
Yuguo Shao, Zhenyu Chen, Zhaohui Wei +1 more·Sep 14, 2025
Achieving practical quantum advantage on near-term noisy hardware is a central goal of quantum computation. However, without efficient pre-execution diagnostics, circuit design and scheme selection often rely on costly hardware-in-the-loop trial-and-...
Frustration-Enhanced Quantum Annealing Correction Models with Additional Inter-replica Interactions
Tomohiro Hattori, Shu Tanaka·Sep 14, 2025
Quantum annealing correction (QAC) models provide a promising approach for mitigating errors in quantum annealers. Previous studies have established that QAC models are crucial for ensuring the robustness of the ground state of the Ising model on har...
Quantum Architecture Search for Solving Quantum Machine Learning Tasks
Michael Kölle, Simon Salfer, Tobias Rohe +2 more·Sep 14, 2025
Quantum computing leverages quantum mechanics to address computational problems in ways that differ fundamentally from classical approaches. While current quantum hardware remains error-prone and limited in scale, Variational Quantum Circuits offer a...
Statistical Quantum Mechanics of the Random Permutation Sorting System (RPSS): A Self-Stabilizing True Uniform RNG
Randy Kuang·Sep 12, 2025
We present the Random Permutation Sorting System (RPSS), a novel framework for true uniform randomness generation grounded in statistical quantum mechanics. RPSS is built on a pair of conjugate observables, the permutation count and the elapsed sorti...
Loss Behavior in Supervised Learning With Entangled States
Alexander Mandl, Johanna Barzen, Marvin Bechtold +2 more·Sep 12, 2025
Quantum machine learning (QML) aims to leverage the principles of quantum mechanics to speed up the process of solving machine learning problems or improve the quality of solutions. In supervised learning, training samples that are entangled with a...
Wafer-Scale Squeezed-Light Chips
Shuai Liu, Kailu Zhou, Yuheng Zhang +4 more·Sep 12, 2025
Squeezed-light generation in photonic integrated circuits (PICs) is essential for scalable continuous-variable (CV) quantum information processing. By suppressing quantum fluctuations below the shot-noise limit, squeezed states enable quantum-enhance...
Optimizing Inter-chip Coupler Link Placement for Modular and Chiplet Quantum Systems
Zefan Du, P. Flores, Wenqi Wei +3 more·Sep 12, 2025
Quantum computing offers unparalleled computational capabilities but faces significant challenges, including limited qubit counts, diverse hardware topologies, and dynamic noise and error rates, which hinder scalability and reliability. Distributed q...
Boosting Sparsity in Graph Decompositions with QAOA Sampling
George Pennington, Naeimeh Mohseni, Oscar Wallis +5 more·Sep 12, 2025
We study the problem of decomposing a graph into a weighted sum of a small number of matchings, a task that arises in network resource allocation problems such as peer-to-peer energy exchange. Computing such decompositions is challenging for classica...
Enhancing Optical Imaging via Quantum Computation
Aleksandr Mokeev, Babak Saif, Mikhail D. Lukin +1 more·Sep 11, 2025
Extracting information from weak optical signals is a critical challenge across a broad range of technologies. Conventional imaging techniques, constrained to integrating over detected signals and classical post-processing, are limited in signal-to-n...
Diabatic quantum annealing for training energy-based generative models
Gilhan Kim, Ju-Yeon Gyhm, Daniel K. Park·Sep 11, 2025
Energy-based generative models, such as restricted Boltzmann machines (RBMs), require unbiased Boltzmann samples for effective training. Classical Markov chain Monte Carlo methods, however, converge slowly and yield correlated samples, making large-s...
Programmable 200 GOPS Hopfield-inspired photonic Ising machine
Nayem Al-Kayed, Charles St-Arnault, H. Morison +5 more·Sep 11, 2025
Ising machines offer a compelling approach to addressing NP-hard problems1, but physical realizations that are simultaneously scalable, reconfigurable, fast and stable remain elusive. Quantum annealers, such as D-Wave’s cryogenic hardware, target com...
Resource quantification for programming low-depth quantum circuits
Entong He, Yuxiang Yang·Sep 11, 2025
Noisy intermediate-scale quantum (NISQ) devices pave the way to implement quantum algorithms that exhibit supremacy over their classical counterparts. Due to the intrinsic noise and decoherence in the physical system, NISQ computations are naturally ...
Power and limitations of distributed quantum state purification
Benchi Zhao, Yu-Ao Chen, Xuanqiang Zhao +3 more·Sep 10, 2025
Quantum state purification protocols, which mitigate noise by converting multiple copies of noisy quantum states into fewer copies with a lower noise level, have applications in quantum communication and computation with imperfect devices. Here, we s...