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Papers

Live trends in quantum computing research, updated daily from arXiv.

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33,592 papers found

Stochastic Pauli-path simulator for large-scale quantum optimization

Kaining Zhang, Xinbiao Wang, Kunsheng Li +4 more·Jul 20, 2026

Pauli-based simulators offer a promising route to large-scale classical simulation of quantum circuits in the low-magic regime. Yet their applicability remains largely limited to forward simulation, making them inadequate for optimization-driven quan...

Quantum Physics

Geometry-Resolved Projection of RF Imbalance to Ion Micromotion in a Same-Phase Dual-RF Blade Trap

Chun-Yang Luan, Haiyu Ding, Cheng-Kang Pan +8 more·Jul 20, 2026

Common-mode metrics of a high-$Q$ helical resonator do not determine the residual ion-side field in a dual-electrode drive. We combine a two-node differential RF model with single-electrode finite-element bases to obtain a computation-only, geometry-...

Quantum Physics

Light-Cone Scaling of In-Circuit Noise in Randomized Measurements

Pan Yu, Yan He, Yadong Wu·Jul 20, 2026

Randomized measurements provide an efficient way to extract physical properties of an unknown quantum state from limited data. On near-term hardware, gate and readout errors bias the reconstructed observables. Here we develop a microscopic descriptio...

Quantum Physics

Depth Determination of Individual Shallow NV-Centers via Spin-Lock NMR

Aaron Daniel, Beat Bürgler, Patrick Maletinsky +1 more·Jul 20, 2026

Quantitative quantum sensing with shallow electron spins, such as those hosted by nitrogen-vacancy (NV) centers in diamond, requires accurate knowledge of the spin's depth below the host material's surface. A widely used approach infers this depth fr...

Mesoscale PhysicsQuantum Physics

Formal Verification of Continuous-Variable Quantum Programs

Stefanie Muroya, Thomas A. Henzinger·Jul 20, 2026

We provide a formal framework for Continuous-Variable Quantum Computing (CQC). While CQC is supported by photonic quantum hardware, we are not aware of a formal semantics for continuous-variable quantum programs nor of a unary Hoare logic for their v...

Quantum Physicscs.LO

Probing gravitational interaction between milligram optomechanical oscillators operating in the quantum regime

M. Bonaldi, A. Borrielli, G. Di Giuseppe +12 more·Jul 20, 2026

We present an ongoing optomechanical experiment aimed at detecting gravitational interaction between milligram-scale oscillators, and exploring its interplay with quantum mechanics. The setup employs two microfabricated oscillators coupled via gravit...

Quantum Physics

Image Classification on IBM Quantum Computers

Junghoon Justin Park, Jiook Cha, Jun-gyeong Park +2 more·Jul 20, 2026

Quantum machine learning on real noisy intermediate-scale quantum (NISQ) hardware has remained largely confined to binary or few-class tasks, limited by the cost of on-hardware training and the underuse of large devices at inference. We present a uni...

Quantum Physics

From Pixel to Prognosis: Convolutional and GLCM Feature Fusion for Automated Four-Class Cataract Severity Classification

K. Mithra, Prem Kumar Santhanam·Jul 20, 2026

Objective: To develop a low-cost automated cataract severity classification system operating on standard consumer-grade colour photographs of the eye, without specialised ophthalmic hardware. Methods: A hybrid framework was designed that fuses deep f...

cs.CVEmerging Tech

Luminosity-Adaptive Contrast Enhancement Using CLAHE for Retinal Fundus Images with Quantitative Validation and Comparative Analysis

K. Mithra, Prem Kumar Santhanam·Jul 20, 2026

Background: Retinal fundus imaging is central to the early diagnosis of sight-threatening conditions including diabetic retinopathy, glaucoma, and retinal vein occlusion. Clinical utility of fundus images is routinely compromised by non-uniform illum...

eess.IVcs.CVEmerging Tech

Quantum Key Distribution Beyond Stationary Channels

Vaisakh Mannalath, Víctor Zapatero, Kiyoshi Tamaki +1 more·Jul 20, 2026

Quantum key distribution (QKD) over non-stationary channels, such as satellite links, is characterized by short, high-loss, and strongly fluctuating transmission windows that produce sparse detection events. In many QKD protocols, these data must be ...

Quantum Physics

Variance-Reduced Trajectory Unravelings for GPU Noisy Quantum-Circuit Simulation: Characterization and a Qiskit-Aer Integration Gap

Chun-Yeol You·Jul 20, 2026

Monte-Carlo trajectory (quantum-jump) methods are the practical route to simulating noisy quantum circuits once the exact density-matrix method is precluded by its $4^n$ memory cost. Their bottleneck is estimator variance: resolving one expectation v...

Quantum Physicsphysics.comp-ph

Active Optical Frequency Measurements with Superradiance Prolonged by a Modulated Magnetic Field

Huihui Yu, Shi-Lei Su, Chongxin Shan +2 more·Jul 20, 2026

Superradiant emission from long-lived excited states of an atomic ensemble confined in an optical cavity constitutes a practical source of light with narrow linewidth. In the pulsed regime, however, superradiance implies rapid emission and a broadeni...

Quantum Physicsphysics.optics

Fully-connected three-mode squeezed vacuum: Gaussian entanglement, steering, and collective photon subtraction

Manjia Mai, Jifeng Sun, Teng Zhao +2 more·Jul 20, 2026

We investigate a fully-connected three-mode squeezed vacuum (FC-C3MSV) state, where all three modes are pairwise coupled through nonlinear interactions in a triangle ($K_3$) topology. Using the integration-within-ordered-product technique, we derive ...

Quantum Physics

Spatial nonlocality imaging via metasurface

Jian Li, Zi-Mu Fan, Qing-Yuan Wu +7 more·Jul 20, 2026

Bell nonlocality is both a defining signature of entanglement and a key quantum information resource. However, visualizing and certifying nonlocal correlations across a spatially multimode photonic field remains challenging due to the rapidly growing...

Quantum Physicsphysics.optics

Single-atom sensor for low-frequency electric field

Quan Yuan, Shuang-Qing Dai, Tai-Hao Cui +8 more·Jul 20, 2026

Precision measurement of low-frequency electric field (LFEF) signals with frequency from 30 kHz to 300 kHz is crucial for advancing both fundamental science and practical applications, owing to their unique frequency regime. For conventional electrom...

Quantum Physicsphysics.app-ph

Cross-Domain Acceleration of Open Modification Search: From Commodity Platforms to Emerging Memory and Storage Devices

Sumukh Pinge, Chang Eun Song, Po-Kai Hsu +10 more·Jul 20, 2026

Open modification search (OMS) in mass spectrometry (MS) is a data-intensive workload whose performance is dominantly limited by reference data movement rather than computation. Prior OMS accelerators have largely been evaluated in isolation, making ...

cs.AREmerging Techcs.PF

Temporal Diffraction Grating for Engineered Superconducting Qubit Dissipation

Pratik J. Barge, Kater W. Murch·Jul 20, 2026

Parametric frequency modulation is a standard tool in superconducting circuits for activating tunable interactions and implementing quantum gates. Here, we engineer dissipation in a flux-tunable transmon qubit by using sideband modulation to bring it...

Quantum Physics

COLIP-2: Olfaction-Vision-Language Embeddings

Kordel Kade France·Jul 20, 2026

The Contrastive Olfaction-Language-Image Pre-training 2 (COLIP-2) model is a multimodal embeddings space that places olfaction as a first-class citizen among vision and language. Molecular structure, gas-sensor readings, odor-descriptor language, and...

cs.ROAIEmerging Techcs.LG

Lie-Group Mode Connectivity in Quantum Machine Learning from a Dynamical Lie Algebra Perspective

Hiroshi Ohno·Jul 20, 2026

Mode connectivity has been widely studied in classical machine learning as a geometric property of low-loss regions in parameter space. In quantum machine learning (QML), however, the physically relevant object is not the parameter vector itself but ...

Quantum Physics

D-NOVA: In-Storage Retrieval Accelerator via Dual-Bound 3D NAND-Optimized Similarity Search with Vector Adaptation

Chang Eun Song, Sumukh Pinge, Tianqi Zhang +3 more·Jul 20, 2026

Retrieval-Augmented Generation (RAG) enhances the factual grounding of large language model (LLM) inference by retrieving relevant information from external knowledge bases. However, its dense vector retrieval introduces significant latency and energ...

cs.ARcs.CLcs.DBEmerging Tech
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