Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Hybrid Action Reinforcement Learning for Quantum Architecture Search
Jiayang Niu, Yan Wang, Jie Li +4 more·Nov 7, 2025
Reinforcement learning-based Quantum Architecture Search (QAS) offers a promising avenue for automating the design of variational quantum circuits, but existing methods typically decouple discrete structure search from continuous parameter optimizati...
Ballistic bosonic noise suppression with hybrid qumode-qubit rotation gates
Saurabh U. Shringarpure, Siheon Park, Sungjoo Cho +4 more·Nov 7, 2025
Noise suppression is of paramount importance for reliable quantum information processing and computation. We show that for any single-mode bosonic code (qumode) corrupted by thermal~noise at rate~$η$ and mean \mbox{excitation}~$\bar{n}$, a hybrid con...
Quantum Boltzmann Machines for Sample-Efficient Reinforcement Learning
Thore Gerlach, Michael Schenk, Verena Kain·Nov 6, 2025
We introduce theoretically grounded Continuous Semi-Quantum Boltzmann Machines (CSQBMs) that supports continuous-action reinforcement learning. By combining exponential-family priors over visible units with quantum Boltzmann distributions over hidden...
QEF: Reproducible and Exploratory Quantum Software Experiments
Vincent Gierisch, Wolfgang Mauerer·Nov 6, 2025
Commercially available Noisy Intermediate-Scale Quantum (NISQ) devices now make small hybrid quantum-classical experiments practical, but many tools hide configuration or demand ad-hoc scripting. We introduce the Quantum Experiment Framework (QEF): A...
Scaling advantage with quantum-enhanced memetic tabu search for LABS
Alejandro Gomez Cadavid, Pranav Chandarana, Sebastián V. Romero +4 more·Nov 6, 2025
We introduce quantum-enhanced memetic tabu search (QE-MTS), a non-variational hybrid algorithm that achieves state-of-the-art scaling for the low-autocorrelation binary sequence (LABS) problem. By seeding the classical MTS with high-quality initial s...
Hybrid Single-Ion Atomic-Ensemble Node for High-Rate Remote Entanglement Generation
Benedikt Tissot, Soubhadra Maiti, Emil R. Hellebek +1 more·Nov 6, 2025
Different quantum systems possess different favorable qualities. On the one hand, ensemble-based quantum memories are suited for fast multiplexed long-range entanglement generation. On the other hand, single-atomic systems provide access to gates for...
Implementing Grover Algorithm on Quantum Chip Architecture Optimized with QGHNN for Fidelity and Entanglement Preservation
Ahmad Salmanogli, Hesam Zandi·Nov 6, 2025
This study introduces a superconducting quantum chip architecture designed to simultaneously preserve entanglement and readout fidelity, addressing one of the key trade-offs in the development of scalable quantum hardware. In conventional quantum cir...
Controlled growth of rare-earth-doped TiO$_{2}$ thin films on III-V semiconductors for hybrid quantum photonic interfaces
Henry C. Hammer, Caleb Whittier, Nathan A. Helvy +3 more·Nov 5, 2025
Quantum photonic networks require two distinct functionalities: bright single-photon sources and long-lived quantum memories. III-V semiconductor quantum dots excel as deterministic and coherent photon emitters, while rare-earth ions such as erbium (...
Stability of the Quantum Coherent Superradiant States in Relation to Exciton-Phonon Interactions and the Fundamental Soliton in Hybrid Perovskites
A. A. Gladkij, N. A. Veretenov, N. N. Rosanov +3 more·Nov 5, 2025
The use of macroscopic coherent quantum states at room temperature is crucial in modern quantum technologies. In light of recent experiments demonstrating high-temperature superfluorescence in hybrid perovskite thin films, in this work we investigate...
Thermodynamic Probes of Multipartite Entanglement in Strongly Interacting Quantum Systems
Harsh Sharma, Sampriti Saha, A. S. Majumdar +2 more·Nov 5, 2025
Quantifying multipartite entanglement in quantum many-body systems and hybrid quantum computing architectures is a fundamental yet challenging task. In recent years, thermodynamic quantities such as the maximum extractable work from an isolated syste...
Quantum-classical hybrid algorithm using quantum annealing for multi-objective job shop scheduling
Kenta Sawamura, Kensuke Araki, Naoki Maruyama +2 more·Nov 5, 2025
Efficient production planning is essential in modern manufacturing to improve performance indicators such as lead time and to reduce reliance on human intuition. While mathematical optimization approaches, formulated as job shop scheduling problems, ...
Quantum Sensing of Copper-Phthalocyanine Electron Spins via NV Relaxometry
Boning Li, Xufan Li, Yifan Quan +2 more·Nov 5, 2025
Molecular spin systems are promising candidates for quantum information processing and nanoscale sensing, yet their characterization at room temperature remains challenging due to fast spin decoherence. In this work, we use $T_1$ relaxometry of shall...
D2-UC: A Distributed-Distributed Quantum-Classical Framework for Unit Commitment
Milad Hasanzadeh, Amin Kargarian·Nov 5, 2025
This paper introduces D2-UC, a quantum-ready framework for the unit commitment (UC) problem that prepares UC for near-term hybrid quantum-classical solvers by combining distributed classical decomposition with distributed quantum execution. We reform...
Quantum Noise-Aware RIS-Aided Wireless Networks Using Variational Encoding and Signal Stabilization
Shakil Ahmed·Nov 5, 2025
This paper introduces a noise-aware, quantum-assisted blockage prediction framework for RIS-enabled wireless networks, integrating a QBS, QRIS, and QUN. Visual and channel data are hybrid-encoded into quantum states and processed via variational quan...
Efficient Variational Quantum Algorithms for the Generalized Assignment Problem
Carlo Mastroianni, Francesco Plastina, Jacopo Settino +1 more·Nov 4, 2025
Quantum algorithms offer a compelling new avenue for addressing difficult NP-complete optimization problems, such as the Generalized Assignment Problem (GAP). Given the operational constraints of contemporary Noisy Intermediate-Scale Quantum (NISQ) d...
Trustworthy Quantum Machine Learning: A Roadmap for Reliability, Robustness, and Security in the NISQ Era
Ferhat Ozgur Catak, Jungwon Seo, Umit Cali·Nov 4, 2025
Quantum machine learning (QML) is a promising paradigm for tackling computational problems that challenge classical AI. Yet, the inherent probabilistic behavior of quantum mechanics, device noise in NISQ hardware, and hybrid quantum-classical executi...
Hybrid Quantum Repeater Chains with Semiconductor Quantum Dots and Group-IV-Vacancy Color Centers in Diamond
Yannick Strocka, Fenglei Gu, Gregor Pieplow +2 more·Nov 4, 2025
We propose and analyze a hybrid quantum repeater architecture that combines two leading hardware platforms: quantum dots (QDs) as bright, deterministic sources of entangled photon pairs and group-IV-vacancy centers in diamond as efficient, heralded q...
QuPCG: Quantum Convolutional Neural Network for Detecting Abnormal Patterns in PCG Signals
Yasaman Torabi, Shahram Shirani, James P. Reilly·Nov 4, 2025
Early identification of abnormal physiological patterns is essential for the timely detection of cardiac disease. This work introduces a hybrid quantum-classical convolutional neural network (QCNN) designed to classify S3 and murmur abnormalities in ...
Measurement Strategies and Estimation Precision in Quantum Network Tomography
Athira Kalavampara Raghunadhan, Matheus Guedes De Andrade, Don Towsley +3 more·Nov 3, 2025
This work investigates measurement strategies for link parameter estimation in Quantum Network Tomography (QNT), where network links are modeled as depolarizing quantum channels distributing Werner states. Three distinct measurement schemes are analy...
Does the survival and sudden death of quadripartite steering in curved spacetime truly depend on multi-directionality?
Xiaobao Liu, Wentao Liu, Si-Han Shang +1 more·Nov 3, 2025
We systematically investigate the directional dependence of Gaussian quadripartite quantum steering and its redistribution among different modes in the background of a Schwarzschild black hole. For physically accessible sectors, we identify three dis...