Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Hybrid Authentication Protocols for Advanced Quantum Networks
Suchetana Goswami, Mina Doosti, Elham Kashefi·Apr 15, 2025
Authentication is a fundamental building block of secure quantum networks, essential for quantum cryptographic protocols and often debated as a key limitation of quantum key distribution (QKD) in security standards. Most quantum-safe authentication s...
Room-temperature hybrid 2D-3D quantum spin system for enhanced magnetic sensing and many-body dynamics
Haoyu Sun, Pei Yu, Xu Zhou +10 more·Apr 15, 2025
Advances in hybrid quantum systems and their precise control are pivotal for developing advanced quantum technologies. Two-dimensional (2D) materials with optically accessible spin defects have emerged as a promising platform for building integrated ...
Hierarchical Quantum Optimization via Backbone-Driven Problem Decomposition: Integrating Tabu-Search with QAOA
M. Gou, Zeyang Li, Hong-Ze Xu +6 more·Apr 13, 2025
As quantum computing advances, quantum approximate optimization algorithms (QAOA) have shown promise in addressing combinatorial optimization problems. However, the limitations of Noisy Intermediate Scale Quantum (NISQ) devices hinder the scalability...
End-to-End Demonstration of Quantum Generative Adversarial Networks for Steel Microstructure Image Augmentation on a Trapped-Ion Quantum Computer
Samwel Sekwao, Jason Iaconis, Claudio Girotto +6 more·Apr 11, 2025
Generative adversarial networks (GANs) are a machine learning technique capable of producing high-quality synthetic images. In the field of materials science, when a crystallographic dataset includes inadequate or difficult-to-obtain images, syntheti...
Hybrid quantum optimization in the context of minimizing traffic congestion
J. Villanueva, Gary J. Mooney, Bhaskar Roy Bardhan +3 more·Apr 11, 2025
Traffic optimization on roads is a highly complex problem, with one important aspect being minimization of traffic congestion. By mapping to an Ising formulation of the traffic congestion problem, we benchmark solutions obtained from the Quantum Appr...
End-to-End Portfolio Optimization with Quantum Annealing
Sai Nandan Morapakula, Sangram Deshpande, Rakesh Yata +3 more·Apr 10, 2025
Hybrid-quantum classical optimization has emerged as a promising direction for addressing financial decision problems under current quantum hardware constraints. In this work we present a practical end-to-end portfolio optimization pipeline that comb...
Hybrid Reinforcement Learning-based Sustainable Multi-User Computation Offloading for Mobile Edge-Quantum Computing
Minrui Xu, D. Niyato, Jiawen Kang +4 more·Apr 10, 2025
Exploiting quantum computing at the mobile edge holds immense potential for facilitating large-scale network design, processing multimodal data, optimizing resource management, and enhancing network security. In this paper, we propose a pioneering pa...
Variational quantum and neural quantum states algorithms for the linear complementarity problem
Saibal De, Oliver Knitter, Rohan Kodati +3 more·Apr 10, 2025
Variational quantum algorithms (VQAs) are promising hybrid quantum-classical methods designed to leverage the computational advantages of quantum computing while mitigating the limitations of current noisy intermediate-scale quantum (NISQ) hardware. ...
When Federated Learning Meets Quantum Computing: Survey and Research Opportunities
Aakar Mathur, Ashish Gupta, Sajal K. Das·Apr 9, 2025
Quantum Federated Learning (QFL) is an emerging field that harnesses advances in Quantum Computing (QC) to improve the scalability and efficiency of decentralized Federated Learning (FL) models. This paper provides a systematic and comprehensive surv...
Machine Learning Approach towards Quantum Error Mitigation for Accurate Molecular Energetics
Srushti Patil, D. Mondal, Rahul Maitra·Apr 9, 2025
Despite significant efforts, the realization of the hybrid quantum-classical algorithms has predominantly been confined to proof-of-principles, mainly due to the hardware noise. With fault-tolerant implementation being a long-term goal, going beyond ...
Quantum parallel information exchange (QPIE) hybrid network with transfer learning
Ziqing Guo, Alex Khan, Victor Sheng +2 more·Apr 5, 2025
Quantum machine learning (QML) has emerged as an innovative framework that has the potential to uncover complex patterns by leveraging the ability of quantum systems to simulate and exploit high-dimensional latent spaces, particularly in learning tas...
Dynamically stable two-mode squeezing in cavity optomechanics
Chen Wang, Shi-fan Qi·Apr 4, 2025
Bosonic two-mode squeezed states are paradigmatic entangled states with broad applications in quantum information processing and quantum metrology. In this work, we propose a two-mode squeezing scheme in a hybrid three-mode cavity optomechanical syst...
QPanda3: A High-Performance Software-Hardware Collaborative Framework for Large-Scale Quantum-Classical Computing Integration
Tianrui Zou, Yuan Fang, Jing Wang +8 more·Apr 3, 2025
In emerging quantum-classical integration applications, the classical time cost-especially from compilation and protocol-level communication often exceeds the execution time of quantum circuits themselves, posing a severe bottleneck to practical depl...
HQViT: Hybrid Quantum Vision Transformer for Image Classification
Hui Zhang, Qinglin Zhao, MengChu Zhou +1 more·Apr 3, 2025
Transformer-based architectures have revolutionized the landscape of deep learning. In computer vision domain, Vision Transformer demonstrates remarkable performance on par with or even surpassing that of convolutional neural networks. However, the q...
Multi-stream physics hybrid networks for solving Navier-Stokes equations
Aleksandr Sedykh, Tatjana Protasevich, Mikhail Surmach +4 more·Apr 2, 2025
Understanding and solving fluid dynamics equations efficiently remains a fundamental challenge in computational physics. Traditional numerical solvers and physics-informed neural networks struggle to capture the full range of frequency components in ...
Fault-tolerant correction-ready encoding of the [[7,1,3]] Steane code on a 2D grid
A. Rodríguez-Blanco, Ho Nam Nguyen, K. B. Whaley·Apr 1, 2025
Practical quantum computation heavily relies on the ability to perform quantum error correction in a fault-tolerant manner. Fault-tolerant encoding is a critical first step, and careful consideration of the error correction cycle that follows is esse...
Machine Learning assisted noise classification with Quantum Key Distribution protocols
Shreya Banerjee, A. Ashmi, P. Panigrahi·Apr 1, 2025
We propose a hybrid protocol to classify quantum noises using supervised classical machine learning models and simple quantum key distribution protocols. We consider the quantum bit error rates (QBERs) generated in QKD schemes under consideration of ...
Quantum Computation of a Quasiparticle Band Structure with the Quantum-Selected Configuration Interaction
Takahiro Ohgoe, Hokuto Iwakiri, Kazuhide Ichikawa +2 more·Apr 1, 2025
Quasiparticle band structures are fundamental for understanding strongly correlated electron systems. While solving these structures accurately on classical computers is challenging, quantum computing offers a promising alternative. Specifically, the...
QUADRO: A Hybrid Quantum Optimization Framework for Drone Delivery
James Holliday, Darren Blount, Hoang-Quan Nguyen +2 more·Mar 31, 2025
Quantum computing holds transformative potential for optimizing large-scale drone fleet operations, yet its nearterm limitations necessitate hybrid approaches blending classical and quantum techniques. This work introduces Quantum Unmanned Aerial Del...
Applications of Hybrid Machine Learning Methods to Large Datasets: A Case Study
Georgios Maragkopoulos, Nikolaos Stefanakos, Aikaterini Mandilara +1 more·Mar 31, 2025
We combine classical and quantum Machine Learning (ML) techniques to effectively analyze long time-series data acquired during experiments. Specifically, we demonstrate that replacing a deep classical neural network with a thoughtfully designed Varia...