Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
HALO: A Fine-Grained Resource Sharing Quantum Operating System
John Zhuoyang Ye, Jiyuan Wang, Yifan Qiao +1 more·Feb 6, 2026
As quantum computing enters the cloud era, thousands of users must share access to a small number of quantum processors. Users need to wait minutes to days to start their jobs, which only takes a few seconds for execution. Current quantum cloud platf...
Performance limits of a quantum receiver for detecting phase-modulated communication signals
William M. Watkins, Leigh Norris, Paraj Titum·Feb 6, 2026
Quantum sensors are an ideal candidate for detecting weak electromagnetic signals because of their exceptional sensitivity and compact form factor. In this work, we analyze the performance of a quantum-sensor-based receive chain for demodulating info...
Empirical Evaluation of QAOA with Zero Noise Extrapolation on NISQ Hardware for Carbon Credit Portfolio Optimization in the Brazilian Cerrado
Hugo José Ribeiro·Feb 6, 2026
Optimizing carbon credit portfolios is a critical challenge for climate mitigation, particularly in high-biodiversity biomes such as the Brazilian Cerrado. This study explores the practical application of the Quantum Approximate Optimization Algorith...
The Quantum Sieve Tracer: A Hybrid Framework for Layer-Wise Activation Tracing in Large Language Models
Jonathan Pan·Feb 6, 2026
Mechanistic interpretability aims to reverse-engineer the internal computations of Large Language Models (LLMs), yet separating sparse semantic signals from high-dimensional polysemantic noise remains a significant challenge. This paper introduces th...
Consensus Protocols for Entanglement-Aware Scheduling in Distributed Quantum Neural Networks
Kuan-Cheng Chen, Samuel Yen-Chi Chen, Mahdi Chehimi +2 more·Feb 6, 2026
The realization of distributed quantum neural networks (DQNNs) over quantum internet infrastructures faces fundamental challenges arising from the fragile nature of entanglement and the demanding synchronization requirements of distributed learning. ...
Lunar Silicon Cavity
Jun Ye, Zoey Z. Hu, Ben Lewis +5 more·Feb 6, 2026
The Moon's permanently shadowed regions (PSRs) are among the coldest places in the Solar System and are expected to become key landing sites for upcoming international space agency missions. Their proximity to peaks of perpetual solar power and poten...
Experimental Quantum Bernoulli Factories via Bell-Basis Measurements
Tanay Roy·Feb 5, 2026
Randomness processing in the Bernoulli factory framework provides a concrete setting in which quantum resources can outperform classical ones. We experimentally demonstrate an entanglement-assisted quantum Bernoulli factory based on Bell-basis measur...
Warm Starts, Cold States: Exploiting Adiabaticity for Variational Ground-States
Ricard Puig, Berta Casas, Alba Cervera-Lierta +2 more·Feb 5, 2026
Reliable preparation of many-body ground states is an essential task in quantum computing, with applications spanning areas from chemistry and materials modeling to quantum optimization and benchmarking. A variety of approaches have been proposed to ...
Quantum simulation of the Dicke model in a two-dimensional ion crystal: chaos, quantum thermalization, and revivals
Bryce Bullock, Sean R. Muleady, Jennifer F. Lilieholm +6 more·Feb 5, 2026
Quantum many-body systems driven far from equilibrium can exhibit chaos, entanglement, and non-classical correlations, yet directly observing these phenomena in large, closed quantum systems remains challenging. Here we realize the Dicke model -- a f...
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...
Efficient net-gain integrated optical parametric amplifier in the quantum regime
Yung-Cheng Kao, Jiaqi Huang, Ian Briggs +2 more·Feb 5, 2026
Optical parametric amplifiers (OPAs) are promising to overcome the wavelength coverage and noise limitations in conventional optical amplifiers based on rare-earth doping and semiconductor gain. However, the high power requirement remains a major obs...
Task-Adaptive Physical Reservoir Computing via Tunable Molecular Communication Dynamics
Saad Yousuf, Kaan Burak Ikiz, Murat Kuscu·Feb 5, 2026
Physical Reservoir Computing (PRC) offers an efficient paradigm for processing temporal data, yet most physical implementations are static, limiting their performance to a narrow range of tasks. In this work, we demonstrate in silico that a canonical...
Quantum Error Mitigation at the pre-processing stage
Juan F. Martin, Giuseppe Cocco, Javier Fonollosa·Feb 5, 2026
The realization of fault-tolerant quantum computers remains a challenging endeavor, forcing state-of-the-art quantum hardware to rely heavily on noise mitigation techniques. Standard quantum error mitigation is typically based on post-processing stra...
Efficient implementation of arbitrary Hermitian-preserving and trace-preserving maps
Weizhou Cai, Zi-Jie Chen, Xuanqiang Zhao +4 more·Feb 5, 2026
Quantum control has been a cornerstone of quantum information science, driving major advances in quantum computing, quantum communication, and quantum sensing. Over the years, it has enabled the implementation of arbitrary completely positive and tra...
Simultaneous reconstruction of quantum process and noise via corrupted sensing
Mengru Ma, Jiangwei Shang·Feb 5, 2026
Quantum processes, including quantum gates and channels, are integral to various quantum information tasks, making the efficient characterization of these processes and their underlying noise critically important. Here, we propose a framework for qua...
Reducing the Complexity of Matrix Multiplication to $O(N^2log_2N)$ by an Asymptotically Optimal Quantum Algorithm
Jiaqi Yao, Ding Liu·Feb 5, 2026
Matrix multiplication is a fundamental classical computing operation whose efficiency becomes a major challenge at scale, especially for machine learning applications. Quantum computing, with its inherent parallelism and exponential storage capacity,...
Single shot distinguishability of noisy quantum channels
Satyaki Manna·Feb 5, 2026
Among the intriguing features of quantum theory, the problem of distinguishing quantum channels is of fundamental interest. In this paper, we focus on the single-shot discrimination of two noisy quantum channels using two distinct classes of probes: ...
Quantum-Enhanced Deterministic Inference of $k$-Independent Set Instances on Neutral Atom Arrays
Juyoung Park, Junwoo Jung, Jaewook Ahn·Feb 5, 2026
Noisy quantum annealing experiments on Rydberg atom arrays produce measurement outcomes that deviate from ideal distributions, complicating performance evaluation. To enable a data-driven benchmarking methodology for quantum devices that accounts for...
High-order dynamical decoupling in the weak-coupling regime
Leeseok Kim, Milad Marvian·Feb 5, 2026
We introduce a high-order dynamical decoupling (DD) scheme for arbitrary system-bath interactions in the weak-coupling regime. Given any decoupling group $\mathcal G$ that averages the interaction to zero, our construction yields pulse sequences whos...
Practical continuous-variable quantum key distribution using dynamic digital signal processing: security proof and experimental demonstration
Lu Fan, Zhengyu Li, Sheng Liu +8 more·Feb 5, 2026
Digital signal processing technology has paved the way for the realization of high-speed continuous-variable quantum key distribution systems. However, existing security proofs are limited to static digital signal processing algorithms, while practic...