Papers
Live trends in quantum computing research, updated daily from arXiv.
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Research Volume
12,893 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 Circuit Benchmarking on IBM Brisbane: Performance Insights from Superconducting Qubit Models
J. Selvam, S. Veni·Aug 7, 2025
This paper investigates quantum communication using superconducting qubits, emphasizing the simulation and control of quantum systems via IBM Brisbane quantum processor. We focus on implementing fundamental quantum gates and analyzing the evolution o...
Noise-resilient Universal Quantum Computing in the Presence of Anisotropic Noise
Yang-Yang Xie, Zhao-Ming Wang, Lian-Ao Wu·Aug 6, 2025
We propose a universal gate set for quantum computing that operates in the presence of decoherence without the overhead of active error correction. We show that a broad class of anisotropic system--bath couplings can be effectively decoupled by prepa...
Hybrid Oscillator-Qudit Quantum Processors: stabilizer states, stabilizer codes, symplectic operations, and non-commutative geometry
Sayan Chakraborty, Victor V. Albert·Aug 6, 2025
We construct stabilizer states and error-correcting codes on combinations of discrete- and continuous-variable systems, generalizing the Gottesman-Kitaev-Preskill (GKP) quantum lattice formalism. Our framework absorbs the discrete phase space of a qu...
Quantum circuit complexity and unsupervised machine learning of topological order
Yanming Che, Clemens Gneiting, Xiaoguang Wang +1 more·Aug 6, 2025
Inspired by the close relationship between Kolmogorov complexity and unsupervised machine learning, we explore quantum circuit complexity, an important concept in quantum computation and quantum information science, as a pivot to understand and to bu...
Simulation and Benchmarking of Real Quantum Hardware
T. Piskor, M. Schondorf, M. Bauer +5 more·Aug 6, 2025
The effects of noise are one of the most important factors to consider when it comes to quantum computing in the noisy intermediate-scale quantum computing (NISQ) era that we are currently in. Therefore, it is important not only to gain more knowledg...
Electrical Control of Quantum Dots in GaAs-on-Insulator Waveguides for Coherent Single-Photon Generation.
Hanna Salamon, Ying Wang, Arnulf Snedker-Nielsen +6 more·Aug 6, 2025
The integration of coherent quantum emitters with silicon photonic platforms is essential for scalable quantum technologies. We demonstrate electrically controlled self-assembled quantum dots embedded in GaAs waveguides bonded onto a SiO2/Si substrat...
Noisy Quantum Simulation Using Tracking, Uncomputation and Sampling
Siddharth Dangwal, T. Oberoi, Ajay Sailopal +2 more·Aug 6, 2025
Quantum computers have grown in size and qubit quality in recent years, enabling the execution of complex quantum circuits. However, for most researchers, access to compute time on quantum hardware is limited. This necessitates the need to build simu...
Challenges in Applying Variational Quantum Algorithms to Dynamic Satellite Network Routing
Phuc Hao Do, Tran Duc Le·Aug 6, 2025
Applying near-term variational quantum algorithms to the problem of dynamic satellite network routing represents a promising direction for quantum computing. In this work, we provide a critical evaluation of two major approaches: static quantum optim...
Excising dead components in the surface code using minimally invasive alterations: A performance study
R. Mishmash, V. Kliuchnikov, J. Bello-Rivas +7 more·Aug 6, 2025
The physical implementation of a large-scale error-corrected quantum processor will necessarily need to mitigate the presence of defective (thereby"dead") physical components in its operation, for example, identified during bring-up of the device or ...
Characterizing noisy quantum computation with imperfectly addressed errors
Riddhi S. Gupta, Salini Karuvade, Kerstin Beer +2 more·Aug 5, 2025
Quantum protocols on hardware are subject to noise that prohibits performance. Protocols for addressing errors, such as error correction or error mitigation, may fail to combat errors in quantum computation if noise violates critical assumptions requ...
Probing and Enhancing the Robustness of GNN-based QEC Decoders with Reinforcement Learning
Ryota Ikeda·Aug 5, 2025
Graph Neural Networks (GNNs) have emerged as a powerful, data-driven approach for Quantum Error Correction (QEC) decoding, capable of learning complex noise characteristics directly from syndrome data. However, the robustness of these decoders agains...
Charge sensitivity in the transmon regime
Rocio Gonzalez-Meza, V. Iaia, Anika Zaman +4 more·Aug 5, 2025
Transmons are widely adopted in quantum computing architectures for their engineered insensitivity to charge noise and correspondingly long relaxation times. Despite this advantage, transmons often exhibit large fluctuations in dephasing times across...
Path-Integral Formulation of Bosonic Markovian Open Quantum Dynamics with Monte Carlo stochastic trajectories using the Glauber-Sudarshan P, Wigner, and Husimi Q Functions and Hybrids
Toma Yoneya, Kazuya Fujimoto, Yuki Kawaguchi·Aug 4, 2025
The Monte Carlo (MC) trajectory sampling of stochastic differential equations (SDEs) based on the quasiprobabilities, such as the Glauber-Sudarshan P, Wigner, and Husimi Q functions, enables us to investigate bosonic open quantum many-body dynamics d...
Designing lattice proteins with variational quantum algorithms
Hanna Linn, Lucas Knuthson, A. Irback +3 more·Aug 4, 2025
Quantum heuristics have shown promise in solving various optimization problems, including lattice protein folding. Equally relevant is the inverse problem, protein design, where one seeks sequences that fold to a given target structure. The latter pr...
A kilometer photonic link connecting superconducting circuits in two dilution refrigerators
Yiyu Zhou, Yufeng Wu, Chunzhen Li +4 more·Aug 4, 2025
Superconducting quantum processors are a leading platform for implementing practical quantum computation algorithms. Although superconducting quantum processors with hundreds of qubits have been demonstrated, their further scaling up is constrained b...
Analysis of the Bernstein--Vazirani Algorithm in the presence of Pauli Noise
Muhammad Faizan, Muhammad Faryad·Aug 3, 2025
We analytically investigate the robustness of the Bernstein--Vazirani algorithm in the presence of bit flip, phase flip, and depolarizing noise using the density matrix formalism. We derive the exact expressions for the algorithm's success probabilit...
Theoretical Study of the Squeezed-Light-Enhanced Sensitivity to Gravity-Induced Entanglement via Finite-Time Analysis
Kosei Hatakeyama, Daisuke Miki, Kazuhiro Yamamoto·Aug 2, 2025
We investigate the advantage of using squeezed input light for generating gravity-induced entanglement (GIE) through Fourier-domain analysis. Based on the findings of Ref.~\cite{Miki2024}, which demonstrated the feasibility of detecting GIE in optome...
TensorHyper-VQC: A Tensor-Train-Guided Hypernetwork for Robust and Scalable Variational Quantum Computing
Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen +1 more·Aug 1, 2025
Variational Quantum Computing (VQC) faces fundamental scalability barriers, primarily due to barren plateaus and sensitivity to quantum noise. To address these challenges, we introduce TensorHyper-VQC, a novel tensor-train (TT)-guided hypernetwork fr...
Replacement-Type Quantum Gates
Florian Ginzel, Javad Kazemi, Valentin Torggler +1 more·Aug 1, 2025
We introduce the paradigm of replacement-type quantum gates. This type of gate introduces input qubits, candidate qubits, and output qubits. The candidate qubits are prepared such, that a displacement conditional on the input qubit results in the tar...
Quantum entanglement of Hawking-Partner modes in expanding cavities
José Manuel Montes-Armenteros, Javier Olmedo·Aug 1, 2025
This article investigates quantum entanglement generated within a one-dimensional cavity where one boundary undergoes prescribed acceleration, a setup designed to mimic aspects of Hawking radiation. We quantify quantum correlations using logarithmic ...