Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Hybrid Quantum-Classical Eigensolver with Real-Space Sampling and Symmetric Subspace Measurements
Lei Xu, Ling Wang·Oct 22, 2025
We propose a hybrid quantum-classical eigensolver to address the computational challenges of simulating strongly correlated quantum many-body systems, where the exponential growth of the Hilbert space and extensive entanglement render classical metho...
Variational Quantum Algorithm for Unitary Dilation
S. X. Li, Keren Li, J. B. You +4 more·Oct 22, 2025
We introduce a hybrid quantum-classical framework for efficiently implementing approximate unitary dilations of non-unitary operators with enhanced noise resilience. The method embeds a target non-unitary operator into a subblock of a unitary matrix ...
QORE : Quantum Secure 5G/B5G Core
V. Rathi, Lakshya Chopra, Rudraksh Rawal +4 more·Oct 22, 2025
Quantum computing is reshaping the security landscape of modern telecommunications. The cryptographic foundations that secure todays 5G systems, including RSA, Elliptic Curve Cryptography (ECC), and Diffie-Hellman (DH), are all susceptible to attacks...
Simulating high-accuracy nuclear motion Hamiltonians using discrete variable representation and Walsh-Hadamard QROM on fault-tolerant quantum computers
Michał Szczepanik, Ákos Nagy, Emil Żak·Oct 21, 2025
We present a quantum algorithm for simulating rovibrational Hamiltonians on fault-tolerant quantum computers. The method integrates exact curvilinear kinetic energy operators and general-form potential energy surfaces expressed in a hybrid finite-bas...
High-Fidelity Scalable Quantum State Preparation via the Fusion Method
Matthew Patkowski, Onat Ayyildiz, Matjaž Kebrič +2 more·Oct 21, 2025
Robust and efficient eigenstate preparation is a central challenge in quantum simulation. The Rodeo Algorithm (RA) offers exponential convergence to a target eigenstate but suffers from poor performance when the initial state has low overlap with the...
Lyapunov-Aware Quantum-Inspired Reinforcement Learning for Continuous-Time Vehicle Control: A Feasibility Study
Nutkritta Kraipatthanapong, Natthaphat Thathong, Pannita Suksawas +4 more·Oct 21, 2025
This paper presents a novel Lyapunov-Based Quantum Reinforcement Learning (LQRL) framework that integrates quantum policy optimization with Lyapunov stability analysis for continuous-time vehicle control. The proposed approach combines the representa...
Grid-Partitioned MWIS Solving with Neutral Atom Quantum Computing for QUBO Problems
Soumyadip Das, Suman Kumar Roy, Rahul Rana +1 more·Oct 21, 2025
Quadratic Unconstrained Binary Optimization (QUBO) problems are prevalent in real-world applications, such as portfolio optimization, but pose significant computational challenges for large-scale instances. We propose a hybrid quantum-classical frame...
Full-stack Physics-level model of cascaded entanglement links
J. Gabriel Richardson, Prajit Dhara, Abhishek Bhatt +2 more·Oct 20, 2025
While the last few decades have seen a proliferation of experimental demonstrations of entanglement sources, practicality of deployment has been a secondary concern. Recently, the ZALM source was introduced, as a well-engineered functional device, ea...
Quantum Federated Learning: Architectural Elements and Future Directions
Siva Sai, Abhishek Sawaika, Prabhjot Singh +1 more·Oct 20, 2025
Federated learning (FL) focuses on collaborative model training without the need to move the private data silos to a central server. Despite its several benefits, the classical FL is plagued with several limitations, such as high computational power ...
Phase estimation via photon subtraction at the output of the hybrid interferometer
Qisi Zhou, Tao Jiang, Qingqian Kang +4 more·Oct 20, 2025
The hybrid interferometer integrating an optical parametric amplifier and a beam splitter has the potential to outperform the SU(1,1) interferometer. However, photon loss remains a critical limitation for practical implementation. To address this cha...
Hybrid Cramér-Rao bound for Quantum Bayes-Point Estimation with Nuisance Parameters
Jianchao Zhang, Jun Suzuki·Oct 19, 2025
We develop a hybrid framework for quantum parameter estimation in the presence of nuisance parameters. In this Bayes-point scheme, the parameters of interest are treated as fixed non-random parameters while nuisance parameters are integrated out with...
Communication through the combination of quantum switch and coherent superposition of channels
Arghyabindu Patra, Abdul Q Batin, Prasanta K. Panigrahi·Oct 18, 2025
The quantization of particle trajectories gives rise to remarkable features such as the coherent superposition of quantum channels and the quantum switch, which offer significant advantages in the communication of both classical and quantum informati...
Hybrid Brownian SYK-Hubbard Model: from Spectral Function to Quantum Chaos
Ning Sun, Peng Zhang, Pengfei Zhang·Oct 18, 2025
Understanding the emergence of complex correlations in strongly interacting systems remains a fundamental challenge in quantum many-body physics. One fruitful approach is to develop solvable toy models that encapsulate universal properties shared by ...
Scattering theory of frequency-entangled biphoton states facilitated by cavity polaritons
Andrei Piryatinski, Nishaant Jacobus, Sameer Dambal +3 more·Oct 18, 2025
The use of quantum light to probe exciton properties in semiconductor and molecular nanostructures typically occurs in the low-intensity regime. A substantial enhancement of exciton-photon coupling can be achieved with photonic cavities, where excito...
Coherence-Mediated Quantum Thermometry in a Hybrid Circuit-QED Architecture
Shaojiang Zhu, Xinyuan You, Alexander Romanenko +1 more·Oct 18, 2025
Quantum thermometry plays a critical role in the development of low-temperature sensors and quantum information platforms. In this work, we propose and theoretically analyze a hybrid circuit quantum electrodynamics architecture in which a superconduc...
Adversarially Robust Quantum Transfer Learning
Amena Khatun, Muhammad Usman·Oct 18, 2025
Quantum machine learning (QML) has emerged as a promising area of research for enhancing the performance of classical machine learning systems by leveraging quantum computational principles. However, practical deployment of QML remains limited due to...
Exceptional Antimodes in Multi-Drive Cavity Magnonics
Mawgan A. Smith, Ryan D. McKenzie, Alban Joseph +2 more·Oct 17, 2025
Driven-dissipative systems provide a natural setting for the emergence of exceptional points -- i.e. non-Hermitian degeneracies where eigenmodes coalesce. These points are important for applications such as sensing, where enhanced sensitivity is requ...
Hybrid Path-Transverse Electric Mode Qudit Encoding on an Integrated Photonic Chip
Imogen Forbes, Patrick Yard, Martin Bielak +5 more·Oct 17, 2025
Hybrid encodings, where multiple degrees of freedom are used to encode quantum information, can increase the size of the Hilbert space with minimal increase to hardware requirements. We show a reprogrammable integrated photonic device, with multimoda...
Fragment, Entangle, and Consolidate: Strong Correlation through Bi-fold Quantum Circuits
Arpan Choudhury, Sonaldeep Halder, Rahul Maitra +1 more·Oct 17, 2025
An accurate description of strong correlation is quintessential for the exploration of emerging chemical phenomena. While near-term variational quantum algorithms provide a theoretically scalable framework for quantum chemical problems, the accurate ...
Solving the 3D Heat Equation with VQA via Remeshing-Based Warm Starts
Samuel Donachie, Ulysse Remond, Arthur Mathorel +1 more·Oct 17, 2025
Quantum computing holds great promise for solving classically intractable problems such as linear systems and partial differential equations (PDEs). While fully fault-tolerant quantum computers remain out of reach, current noisy intermediate-scale qu...