Papers
Live trends in quantum computing research, updated daily from arXiv.
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12,932 papers in 12 months (-5% vs prior quarter)
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Quantum noise scaling in continuously operating multiparameter sensors
Aleksandra Sierant, Diana Méndez-Avalos, Santiago Tabares Giraldo +1 more·Feb 5, 2026
We experimentally investigate the quantum noise mechanisms that limit continuously operating multiparameter quantum sensors. Using a hybrid rf-dc optically pumped magnetometer, we map the photon shot noise, spin projection noise, and measurement back...
Quantum Reinforcement Learning with Transformers for the Capacitated Vehicle Routing Problem
Eva Andrés·Feb 5, 2026
This paper addresses the Capacitated Vehicle Routing Problem (CVRP) by comparing classical and quantum Reinforcement Learning (RL) approaches. An Advantage Actor-Critic (A2C) agent is implemented in classical, full quantum, and hybrid variants, integ...
Hybrid Quantum-Classical Optimization for Multi-Objective Supply Chain Logistics
Raoul Heese, Timothée Leleu, Sam Reifenstein +2 more·Feb 5, 2026
A multi-objective logistics optimization problem from a real-world supply chain is formulated as a Quadratic Unconstrained Binary Optimization Problem (QUBO) that minimizes cost, emissions, and delivery time, while maintaining target distributions of...
Quantum Sequential Circuits
D. -S. Wang·Feb 5, 2026
This work introduces and characterizes quantum sequential circuits (QSCs) as a hardware-oriented paradigm for quantum computing, built upon a novel foundational element termed the quantum transistor. Unlike conventional qubit-based architectures, QSC...
Toward Quantum-Safe Software Engineering: A Vision for Post-Quantum Cryptography Migration
Lei Zhang·Feb 5, 2026
The quantum threat to cybersecurity has accelerated the standardization of Post-Quantum Cryptography (PQC). Migrating legacy software to these quantum-safe algorithms is not a simple library swap, but a new software engineering challenge: existing vu...
QuantumGS: Quantum Encoding Framework for Gaussian Splatting
Grzegorz Wilczyński, Rafał Tobiasz, Paweł Gora +2 more·Feb 4, 2026
Recent advances in neural rendering, particularly 3D Gaussian Splatting (3DGS), have enabled real-time rendering of complex scenes. However, standard 3DGS relies on spherical harmonics, which often struggle to accurately capture high-frequency view-d...
Real and momentum space analysis of topological phases in 2D d-wave altermagnets
Manuel Calixto·Feb 4, 2026
Altermagnetism has recently emerged as a third fundamental branch of magnetism, combining the vanishing net magnetization of antiferromagnets with the high-momentum-dependent spin splitting of ferromagnets. This study provides a comprehensive real- a...
Resource-Efficient Digitized Adiabatic Quantum Factorization
Felip Pellicer, Juan José García-Ripoll, Alan C. Santos·Feb 4, 2026
Digitized adiabatic quantum factorization is a hybrid algorithm that exploits the advantage of digitized quantum computers to implement efficient adiabatic algorithms for factorization through gate decompositions of analog evolutions. In this paper, ...
Quantum-Assisted Design of Space-Terrestrial Integrated Networks
Chiara Vercellino, Giacomo Vitali, Paolo Viviani +5 more·Feb 4, 2026
Achieving ubiquitous global connectivity requires integrating satellite and terrestrial networks, particularly to serve remote and underserved regions. In this work, we investigate the design and optimization of Space-Terrestrial Integrated Networks ...
Constructing Compact ADAPT Unitary Coupled-Cluster Ansatz with Parameter-Based Criterion
Runhong He, Xin Hong, Qiaozhen Chai +5 more·Feb 4, 2026
The adaptive derivative-assembled pseudo-trotter variational quantum eigensolver (ADAPT-VQE) is a promising hybrid quantum-classical algorithm for molecular ground state energy calculation, yet its practical scalability is hampered by redundant excit...
Restoring Sparsity in Potts Machines via Mean-Field Constraints
Kevin Callahan-Coray, Kyle Lee, Kyle Jiang +1 more·Feb 4, 2026
Ising machines and related probabilistic hardware have emerged as promising platforms for NP-hard optimization and sampling. However, many practical problems involve constraints that induce dense or all-to-all couplings, undermining scalability and h...
Classical Benchmarks of a Symmetry-Adapted Variational Quantum Eigensolver for Real-Time Green's Functions in Dynamical Mean-Field Theory
Aadi Singh, Chakradhar Rangi, Ka-Ming Tam·Feb 3, 2026
We present a variational quantum eigensolver (VQE) approach for solving the Anderson Impurity Model (AIM) arising in Dynamical Mean-Field Theory (DMFT). Recognizing that the minimal two-site approximation often fails to resolve essential spectral fea...
Quantum Computing for Electronic Circular Dichroism Spectrum Prediction of Chiral Molecules
Amandeep Singh Bhatia, Sabre Kais·Feb 3, 2026
Electronic circular dichroism (ECD) spectroscopy captures the chiroptical response of molecules, enabling absolute configuration assignment that is vital for enantioselective synthesis and drug design. The practical use of ECD spectra in predictive m...
Microscopic derivation of a completely positive master equation for the description of Open Quantum Brownian Motion of a particle in a potential
Ayanda Zungu, Ilya Sinayskiy, Francesco Petruccione·Feb 3, 2026
Open Quantum Brownian Motion (OQBM) was introduced as a scaling limit of discrete-time open quantum walks. This limit defines a new class of quantum Brownian motion, which incorporates both the external and internal degrees of freedom of the Brownian...
Enhancing Quantum Diffusion Models for Complex Image Generation
Jeongbin Jo, Santanam Wishal, Shah Md Khalil Ullah +2 more·Feb 3, 2026
Quantum generative models offer a novel approach to exploring high-dimensional Hilbert spaces but face significant challenges in scalability and expressibility when applied to multi-modal distributions. In this study, we explore a Hybrid Quantum-Clas...
A Tunable, Modeless, and Hybridization-free Cross-Kerr Coupler for Miniaturized Superconducting Qubits
Gihwan Kim, Andreas Butler, Oskar Painter·Feb 3, 2026
Superconducting quantum circuits typically use capacitive charge-based linear coupling schemes to control interactions between elements such as qubits. While simple and effective, this coupling scheme makes it difficult to satisfy competing circuit d...
Validating a Koopman-Quantum Hybrid Paradigm for Diagnostic Denoising of Fusion Devices
Tie-Jun Wang, Run-Qing Zhang, Ling Qian +4 more·Feb 3, 2026
The potential of Quantum Machine Learning (QML) in data-intensive science is strictly bottlenecked the difficulty of interfacing high-dimensional, chaotic classical data into resource-limited, noisy quantum processors. To bridge this gap, we introduc...
Quantum Annealing for Combinatorial Optimization: Foundations, Architectures, Benchmarks, and Emerging Directions
Rudraksh Sharma, Ravi Katukam, Arjun Nagulapally·Feb 3, 2026
Critical decision-making issues in science, engineering, and industry are based on combinatorial optimization; however, its application is inherently limited by the NP-hard nature of the problem. A specialized paradigm of analogue quantum computing, ...
Integration of Variational Quantum Algorithms into Atomistic Simulation Workflows
Wilke Dononelli·Feb 2, 2026
In this work, we present the integration of Qiskit Nature's quantum chemistry solvers into the Atomic Simulation Environment (ASE), enabling hybrid quantum-classical workflows for force-driven atomistic simulations. This coupling allows the use of th...
Floquet-engineered fidelity revivals in the PXP model
Francesco Perciavalle, Francesco Plastina, Nicola Lo Gullo·Feb 2, 2026
We explore the dynamics of the PXP model when subjected to a periodic drive, and unveil the mechanism through which the interplay between spectral properties and initial states governs the emergence of dynamical revivals and their evolution across th...