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Papers

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

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12,927 papers in 12 months (-5% vs prior quarter)

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Papers by research theme (12 months). Hover for details.

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Hardware platform mentions in abstractsPhotonic leads

2,459 papers found

Quantum Key Distribution: Bridging Theoretical Security Proofs, Practical Attacks, and Error Correction for Quantum-Augmented Networks

Nitin Jha, Abhishek Parakh, Mahadevan Subramaniam·Nov 25, 2025

Quantum Key Distribution (QKD) is revolutionizing cryptography by promising information-theoretic security through the immutable laws of quantum mechanics. Yet, the challenge of transforming these idealized security models into practical, resilient s...

Quantum PhysicsCryptography

Proximity driven photon-tunneling in chiral quantum hybrid systems

Aryan Pratap Srivastava, Moulik Deviprasad Ketkar, Kuldeep Kumar Shrivastava +3 more·Nov 25, 2025

We investigate photon tunneling in a pair of coupled inverted circular split-ring microwave resonators with four discrete chiral orientations. By varying the spacing between the resonators, we observe strong modulation of the transmission spectra, in...

Quantum Physics

Quantum Framework for Wavelet Shrinkage

Brani Vidakovic·Nov 25, 2025

This paper develops a unified framework for quantum wavelet shrinkage, extending classical denoising ideas into the quantum domain. Shrinkage is interpreted as a completely positive trace-preserving process, so attenuation of coefficients is carried ...

Quantum Physicsstat.CO

Quantum Coherence of Rare-Earth Ions in Heterogeneous Photonic Interfaces

Henry C. Hammer, Hassan A. Bukhari, Yogendra Limbu +6 more·Nov 24, 2025

Harnessing rare-earth ions in oxides for quantum networks requires integration with bright emitters in III-V semiconductors, but local disorder and interfacial noise limit their optical coherence. Here, we investigate the microscopic origins of the e...

Quantum Physicsphysics.optics

Performance Guarantees for Quantum Neural Estimation of Entropies

Sreejith Sreekumar, Ziv Goldfeld, Mark M. Wilde·Nov 24, 2025

Estimating quantum entropies and divergences is an important problem in quantum physics, information theory, and machine learning. Quantum neural estimators (QNEs), which utilize a hybrid classical-quantum architecture, have recently emerged as an ap...

Quantum Physicscs.ITcs.LG

Neural Architecture Search for Quantum Autoencoders

Hibah Agha, Samuel Yen-Chi Chen, Huan-Hsin Tseng +1 more·Nov 24, 2025

In recent years, machine learning and deep learning have driven advances in domains such as image classification, speech recognition, and anomaly detection by leveraging multi-layer neural networks to model complex data. Simultaneously, quantum compu...

Quantum PhysicsAIcs.LGNeural Computing

Flexible Genetic Algorithm for Quantum Support Vector Machines

Nguyen Minh Duc, Vu Tuan Hai, Le Bin Ho +1 more·Nov 24, 2025

Quantum Support Vector Machines (QSVM) is one of the most promising frameworks in quantum machine learning, yet their performance depends on the design of the feature map. Conventional approaches rely on fixed quantum circuits, which often fail to ge...

Quantum Physics

Diagram-to-Circuit QNLP for Financial Sentiment Analysis

T. Sakuma·Nov 24, 2025

We study a \emph{QDisCoCirc}-inspired, chunked diagram-to-circuit quantum natural language processing (QNLP) model for three-class sentiment classification of financial texts. In our classical simulations, we keep the Hilbert-space dimension manageab...

Economics

A quantum-classical hybrid branch & bound algorithm

András Czégel, Dávid Sipos, Boglárka G. -Tóth·Nov 23, 2025

We propose a complete quantum-classical hybrid branch-and-bound algorithm (QCBB) to solve binary linear programs with equality constraints. That includes bound calculation, convergence metrics and optimality guarantee to the quantum optimization base...

Quantum Physics

Quantum machine learning for efficient reduced order modelling of turbulent flows

Han Li, Yutong Lou, Dunhui Xiao·Nov 23, 2025

Accurately predicting turbulent flows remains a central challenge in fluid dynamics due to their high dimensionality and intrinsic nonlinearity. Recent developments in quantum algorithms and machine learning offer new opportunities for overcoming the...

physics.flu-dynQuantum Physics

Cavity magnomechanical framework for a high-efficiency quantum battery

S. K. Singh, Ahmed A. Zahia, Jia-Xin Peng +1 more·Nov 23, 2025

We theoretically investigate a quantum battery architecture where two identical two-level atoms are charged by a cavity-magnomechanical system, which includes a microwave cavity, a magnon mode hosted in a YIG sphere, and phonon mode due to the deform...

Quantum Physics

Deterministic coupling of ultracold atomic lattice to a suspended photonic waveguide

J. T. Hansen, F. Gargiulo, J. B. Mathiassen +3 more·Nov 22, 2025

The deterministic control of light-matter interactions at the level of single particles and on subwavelength scales is central to quantum optics and hybrid integrated quantum technologies. However, combining cold atom research with nanophotonic devic...

Quantum Physics

Verifcation of general multi-qudit pure states

Xiao-Dong Zhang, Bin-Bin Cai, Song Lin·Nov 22, 2025

Verifying prepared quantum states is crucial for hybrid systems whose subsystems may have different local dimensions. We present a generalized stabilizer framework and associated test that apply to general multi-qudit states, including composite-dime...

Quantum Physics

Optical Entanglement Facilitated by Opto-Mechanical Cooling

Alexandr V. Karpenko, Andrey B. Matsko, Sergey P. Vyatchanin·Nov 21, 2025

Optomechanical generation of entangled optical beams is usually hindered by thermal noise. We present a theoretical study of low frequency entanglement generation between two optical harmonics emitted from a cavity optomechanical system operating in ...

Quantum Physicsphysics.optics

A Lifting Theorem for Hybrid Classical-Quantum Communication Complexity

Xudong Wu, Guangxu Yang, Penghui Yao·Nov 21, 2025

We investigates a model of hybrid classical-quantum communication complexity, in which two parties first exchange classical messages and subsequently communicate using quantum messages. We study the trade-off between the classical and quantum communi...

ComplexityQuantum Physics

Dissecting Quantum Reinforcement Learning: A Systematic Evaluation of Key Components

Javier Lazaro, Juan-Ignacio Vazquez, Pablo Garcia-Bringas·Nov 21, 2025

Parameterised quantum circuit (PQC) based Quantum Reinforcement Learning (QRL) has emerged as a promising paradigm at the intersection of quantum computing and reinforcement learning (RL). By design, PQCs create hybrid quantum-classical models, but t...

Quantum Physicscs.LG

A Hybrid Classical-Quantum Fine Tuned BERT for Text Classification

Abu Kaisar Mohammad Masum, Naveed Mahmud, M. Hassan Najafi +1 more·Nov 21, 2025

Fine-tuning BERT for text classification can be computationally challenging and requires careful hyper-parameter tuning. Recent studies have highlighted the potential of quantum algorithms to outperform conventional methods in machine learning and te...

cs.LGQuantum Physics

Canonical Quantum Mpemba Effect in a Dissipative Qubit

Xingli Li, Yan Li, Yangqian Yan·Nov 21, 2025

The Mpemba effect, where a hotter system cools faster than a colder one under otherwise identical conditions, has been extensively studied in classical systems. In this work, we present the quantum analogue of the Mpemba effect using a dissipative qu...

Quantum Physics

Lane-Frame Quantum Multimodal Driving Forecasts for the Trajectory of Autonomous Vehicles

Navneet Singh, Shiva Raj Pokhrel·Nov 21, 2025

Trajectory forecasting for autonomous driving must deliver accurate, calibrated multi-modal futures under tight compute and latency constraints. We propose a compact hybrid quantum architecture that aligns quantum inductive bias with road-scene struc...

cs.LGQuantum Physics

Quantum-Embedded Dynamic Security Control using Hybrid Deep Reinforcement Learning

Amin Masoumi, M. Korkali·Nov 21, 2025

Dynamic security control (DSC) is considered a pivotal step for the future power grid, which is increasingly penetrated by inverter-based resources. However, the efficiency of such practices, whether governed by automatic generation control or virtua...

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