Papers
Live trends in quantum computing research, updated daily from arXiv.
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12,930 papers in 12 months (-5% vs prior quarter)
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Space-Bounded Communication Complexity of Unitaries
Longcheng Li, Xiaoming Sun, Jialin Zhang +1 more·Nov 6, 2025
We study space-bounded communication complexity for unitary implementation in distributed quantum processors, where we restrict the number of qubits per processor to ensure practical relevance and technical non-triviality. We model distributed quantu...
Twirlator: A Pipeline for Analyzing Subgroup Symmetry Effects in Quantum Machine Learning Ansatzes
Valter Uotila, Väinö Mehtola, Ilmo Salmenperä +1 more·Nov 6, 2025
Symmetry is a strong inductive bias in geometric deep learning and its quantum counterpart, and has attracted increasing attention for improving the trainability of QML models. Yet incorporating symmetries into quantum machine learning (QML) ansatzes...
Engineered Robustness for Nonadiabatic Geometric Quantum Gates
Xuan Zhang, XIao-le Li, Jingjing Niu +2 more·Nov 6, 2025
While geometric quantum gates are often theorized to possess intrinsic resilience to control errors by exploiting the global properties of evolution paths, this promise has not consistently translated into practical robustness. We present a streamlin...
Realistic Gottesman-Kitaev-Preskill stabilizer states enable universal quantum computation
Fariba Hosseinynejad, Pavithran Iyer, Guillaume Dauphinais +1 more·Nov 5, 2025
Physical Gottesman-Kitaev-Preskill (GKP) states are inherently noisy as ideal ones would require infinite energy. While this is typically considered as a deficiency to be actively corrected, this work demonstrates that imperfect GKP stabilizer states...
Certified randomness amplification by dynamically probing remote random quantum states
Minzhao Liu, Pradeep Niroula, Matthew DeCross +49 more·Nov 5, 2025
Cryptography depends on truly unpredictable numbers, but physical sources emit biased or correlated bits. Quantum mechanics enables the amplification of imperfect randomness into nearly perfect randomness, but prior demonstrations have required physi...
Frequency- and Amplitude-Modulated Gates for Universal Quantum Control
Qi Ding, Shoumik Chowdhury, Agustin Di Paolo +4 more·Nov 5, 2025
Achieving high-fidelity single- and two-qubit gates is essential for executing arbitrary digital quantum algorithms and for building error-corrected quantum computers. We propose a theoretical framework for implementing quantum gates using frequency-...
SWAP-Network Routing and Spectral Qubit Ordering for MPS Imaginary-Time Optimization
Erik M. Åsgrim, Stefano Markidis·Nov 4, 2025
We propose a quantum-inspired combinatorial solver that performs imaginary-time evolution (ITE) on a matrix product state (MPS), incorporating non-local couplings through structured SWAP networks and spectral qubit mapping of logical qubits. The SWAP...
Clifford Hierarchy Stabilizer Codes: Transversal Non-Clifford Gates and Magic
Ryohei Kobayashi, Guanyu Zhu, Po-Shen Hsin·Nov 4, 2025
A fundamental problem in fault-tolerant quantum computation is the tradeoff between universality and dimensionality, exemplified by the the Bravyi-König bound for $n$-dimensional topological stabilizer codes. In this work, we extend topological Pauli...
Majorana string simulation of nonequilibrium dynamics in two-dimensional lattice fermion systems
Matteo D'Anna, Jannes Nys, Juan Carrasquilla·Nov 4, 2025
The study of real-time dynamics of fermions remains one of the last frontiers beyond the reach of classical simulations and is key to our understanding of quantum behavior in chemistry and materials, with implications for quantum technology. Here we ...
Photonic implementation of quantum hidden subgroup database compression
Qianyi Wang, Feiyang Liu, Teng Hu +6 more·Nov 4, 2025
We experimentally demonstrate quantum data compression exploiting hidden subgroup symmetries using a photonic quantum processor. Classical databases containing generalized periodicities-symmetries that are in the worst cases inefficient for known cla...
Towards Continuous-variable Quantum Neural Networks for Biomedical Imaging
Daniel Alejandro Lopez, Oscar Montiel, Oscar Castillo +1 more·Nov 3, 2025
Continuous-variable (CV) quantum computing offers a promising framework for scalable quantum machine learning, leveraging optical systems with infinite-dimensional Hilbert spaces. While discrete-variable (DV) quantum neural networks have shown remark...
The Born Ultimatum: Conditions for Classical Surrogation of Quantum Generative Models with Correlators
Mario Herrero-Gonzalez, Brian Coyle, Kieran McDowall +4 more·Nov 3, 2025
Quantum Circuit Born Machines (QCBMs) are powerful quantum generative models that sample according to the Born rule, with complexity-theoretic evidence suggesting potential quantum advantages for generative tasks. Here, we identify QCBMs as a quantum...
Measurement Strategies and Estimation Precision in Quantum Network Tomography
Athira Kalavampara Raghunadhan, Matheus Guedes De Andrade, Don Towsley +3 more·Nov 3, 2025
This work investigates measurement strategies for link parameter estimation in Quantum Network Tomography (QNT), where network links are modeled as depolarizing quantum channels distributing Werner states. Three distinct measurement schemes are analy...
Fast and Robust Remote Two-Qubit Gates on Distributed Qubits
Yunan Li, Xi Zhang, Weixin Zhang +4 more·Nov 3, 2025
Distributed quantum computing offers a potential solution to the complexity of superconducting chip hardware layouts and error correction algorithms. High-quality gates between distributed chips enable the simplification of existing error correction ...
High-fidelity all-microwave CZ gate with partial erasure-error detection via a transmon coupler
Shotaro Shirai, Shinichi Inoue, Shuhei Tamate +3 more·Nov 3, 2025
Entangling gates between neighboring physical qubits are essential for quantum error correction. Implementing them in an all-microwave manner simplifies signal routing and control apparatus of superconducting quantum processors. We propose and experi...
Investigation of Performance and Scalability of a Quantum-Inspired Evolutionary Optimizer (QIEO) on NVIDIA GPU
Aman Mittal, Kasturi Srikanth, F. Bosco +2 more·Nov 3, 2025
Quantum-inspired evolutionary optimization leverages quantum computing principles like superposition, interference, and probabilistic representation to enhance classical evolutionary algorithms with improved exploration and exploitation capabilities....
Hybrid Quantum Transformer for Language Generation
Desheng Kong, Xiangshuo Cui, Jiaying Jin +2 more·Nov 2, 2025
Although quantum computing has been increasingly applied to replace classical computation, most existing quantum or hybrid models remain confined to simple tasks, with no successful application to large-scale natural language generation to date. In t...
Hadronic scattering in (1+1)D SU(2) lattice gauge theory from tensor networks
João Barata, Juan Hormaza, Zhong-Bo Kang +1 more·Oct 31, 2025
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-network techniques. Working in the gaugeless Hamiltonian formulation -- where the gauge field is exactl...
Teleportation-based squeezer for bosonic cluster states
Michal Matulík, Radim Filip, Petr Marek·Oct 31, 2025
The one-way quantum computation utilizing bosonic modes of light offers unmatched scalability of light modes, and it has seen rapid experimental development recently. Scalability requires robust and low-error gates and measurements. Squeezing gate is...
Directional quantum scattering transducer in cooperative Rydberg metasurfaces
Jonas von Milczewski, Kelly Werker Smith, Susanne F. Yelin·Oct 31, 2025
We present a single-photon transduction scheme using 4-wave-mixing and quantum scattering in planar, cooperative Rydberg arrays that is both efficient and highly directional and may allow for terahertz-to-optical transduction. In the 4-wave-mixing sc...