Papers
Live trends in quantum computing research, updated daily from arXiv.
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13,397 papers in 12 months (-22% vs prior quarter)
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
An inequality for relativistic local quantum measurements
Riccardo Falcone, Claudio Conti·Sep 15, 2025
We investigate the trade-off between vacuum insensitivity and sensitivity to excitations in finite-size detectors, taking measurement locality as a fundamental constraint. We derive an upper bound on the detectability of vacuum excitation, given a sm...
High-resolution electric field imaging based on intermittent-contact mode scanning NV center electrometry
Zhi Cheng, Zhiwei Yu, Mengqi Wang +4 more·Sep 15, 2025
Scanning nitrogen-vacancy (NV) center electrometry has shown potential for quantitative quantum imaging of electric fields at the nanoscale. However, achieving nanoscale spatial resolution remains a challenge since employing gradiometry to overcome e...
Strong antibunching photons/photon pairs emission in two atoms cavity QED system with the Van der Waals interaction
Zhouyang Yu, Jinping Xu, Chengjie Zhu +2 more·Sep 15, 2025
Weinvestigate the generation of antibunching photons and photon pairs in a two-atom cavity QED system leveraging interatomic van der Waals (vdW) interaction. We show that the vdW interaction shifts the two-atom excited state, enabling the suppression...
Efficient Preparation of Decoherence Free Subspace Basis States
Zi-Ming Li, Yu-xi Liu·Sep 15, 2025
Decoherence-free subspace (DFS) provides a crucial mechanism for passive error mitigation in quantum computation by encoding information within symmetry-protected subspaces of the Hilbert space, which are immune from collective decoherence. Construct...
Combinatorial optimization enhanced by shallow quantum circuits with 104 superconducting qubits
Xuhao Zhu, Zuoheng Zou, Feitong Jin +31 more·Sep 15, 2025
A pivotal task for quantum computing is to speed up solving problems that are both classically intractable and practically valuable. Among these, combinatorial optimization problems have attracted tremendous attention due to their broad applicability...
Classical State Detection Using Quantum State Tomography
Kim Fook Lee, Prem Kumar·Sep 15, 2025
We present a model to detect a classical state mixed with an idler photon from a polarization-entangled pair. A weak coherent light with a well-defined polarization, matched in wavelength to the idler photon, is injected into the idler channel. Quant...
Cross-Platform Scaling of Vision-Language-Action Models from Edge to Cloud GPUs
Amir Taherin, Juyi Lin, Arash Akbari +5 more·Sep 15, 2025
Vision-Language-Action (VLA) models have emerged as powerful generalist policies for robotic control, yet their performance scaling across model architectures and hardware platforms, as well as their associated power budgets, remain poorly understood...
Observation of quantum-field-theory dynamics on a spin-phonon quantum computer
Anton T. Than, Saurabh V. Kadam, Vinay Vikramaditya +5 more·Sep 14, 2025
Simulating out-of-equilibrium dynamics of quantum field theories in nature is challenging with classical methods, but is a promising application for quantum computers. Unfortunately, simulating interacting bosonic fields involves a high boson-to-qubi...
Requirements for Early Quantum Advantage and Quantum Utility in the Capacitated Vehicle Routing Problem
Chinonso Onah, Kristel Michielsen·Sep 14, 2025
We introduce a transparent, encoding-agnostic framework for determining when the Capacitated Vehicle Routing Problem (CVRP) can achieve early quantum advantage. Our analysis shows this is unlikely on noisy intermediate scale quantum (NISQ) hardware e...
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...
Optimal single-mode squeezing for beam displacement sensing
Wenhua He, Christos N. Gagatsos, Dalziel J. Wilson +1 more·Sep 14, 2025
Estimation of an optical beam's transverse displacement is a canonical imaging problem fundamental to numerous optical imaging and sensing tasks. Quantum enhancements to the measurement precision in this problem have been studied extensively. However...
Scalable Hardware Maturity Probe for Quantum Accelerators via Harmonic Analysis of QAOA
Chinonso Onah, Kristel Michielsen·Sep 14, 2025
As quantum processors begin operating as tightly coupled accelerators inside high-performance computing (HPC) facilities, dependable and reproducible behavior becomes a gating requirement for scientific and industrial workloads. We present a hardware...
Prediction of Stocks Index Price using Quantum GANs
Sangram Deshpande, Gopal Ramesh Dahale, Sai Nandan Morapakula +1 more·Sep 14, 2025
This paper investigates the application of Quantum Generative Adversarial Networks (QGANs) for stock price prediction. Financial markets are inherently complex, marked by high volatility and intricate patterns that traditional models often fail to ca...
Quantum Functional Information through the Evolution of Random Circuits
Rodrigo Pasti, Jonas Krause·Sep 14, 2025
We introduce Quantum Functional Information (QFI), a new metric to quantify the rarity and utility of quantum states and circuits. Unlike standard measures such as fidelity or entropy, QFI captures the balance between functionality and rarity within ...
Pulse-to-Circuit Characterization of Stealthy Crosstalk Attack on Multi-Tenant Superconducting Quantum Hardware
Syed Emad Uddin Shubha, Tasnuva Farheen·Sep 14, 2025
Hardware crosstalk in multi-tenant superconducting quantum computers constitutes a significant security threat, enabling adversaries to inject targeted errors across tenant boundaries. We present the first end-to-end framework for mapping physical pu...
Quantum Graph Attention Networks: Trainable Quantum Encoders for Inductive Graph Learning
Arthur M. Faria, Mehdi Djellabi, Igor O. Sokolov +1 more·Sep 14, 2025
We introduce Quantum Graph Attention Networks (QGATs) as trainable quantum encoders for inductive learning on graphs, extending the Quantum Graph Neural Networks (QGNN) framework. QGATs leverage parameterized quantum circuits to encode node features ...
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...
Directional Motional Control via Engineered Conical Intersections in Trapped Rydberg Ions
Abdessamad Belfakir, Yousra Bouasria, Herschel Rabitz +1 more·Sep 14, 2025
We demonstrate coherent control of motional dynamics in trapped Rydberg ions engineered to exhibit a conical intersection between adiabatic potential-energy surfaces. Using quantum optimal control, an optimally shaped electric field drives the motion...
Quantum state spectrum and field theory of D$0$-brane
Igor Bandos, Unai D. M. Sarraga, Mirian Tsulaia·Sep 14, 2025
We quantize D$0$-brane, the simplest representative of the family of supersymmetric Dirichlet p-branes, in its spinor moving frame formulation and analyze its quantum state spectrum. Besides being a preparatory stage for quantization of the complete ...
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...