Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
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. ...
Hybrid Coupling Topology with Dynamic ZZ Suppression for Optimizing Circuit Depth during Runtime in Superconducting Quantum Processor
Uday Sannigrahi, Amlan Chakrabarti, Swapnil Saha +1 more·Feb 6, 2026
To reduce circuit depth when executing Quantum algorithms, it is necessary to maximize qubit connectivity on a near-term quantum processor. While addressing this, we also need to ensure high gate fidelity, suppression of unwanted ZZ cross-talk, a com...
Quantum Attention by Overlap Interference: Predicting Sequences from Classical and Many-Body Quantum Data
Alessio Pecilli, Matteo Rosati·Feb 6, 2026
We propose a variational quantum implementation of self-attention (QSA), the core operation in transformers and large language models, which predicts future elements of a sequence by forming overlap-weighted combinations of past data. At variance wit...
High-speed phase-encoded quantum secure direct communication over 11.4 km heterogeneous free-space and fiber links
Ze-Zhou Sun, Yuan-Bin Cheng, Yu-Chen Liu +5 more·Feb 6, 2026
Robust quantum transmission is driving a new paradigm in space-ground quantum networking. Although phase encoding has been widely adopted in terrestrial fiber channels, it has long been considered unsuitable for free-space quantum communication. Here...
Extensible universal photonic quantum computing with nonlinearity
Shang Yu, Jinzhao Sun, Kuan-Cheng Chen +17 more·Feb 6, 2026
Universal quantum computing requires an architecture that supports both linear circuits and, crucially, strong nonlinear resources. For quantum photonic systems, integrating such nonlinearities with scalable linear circuitry has been a major bottlene...
Integrating AI and Quantum-Inspired Techniques for Efficient Enzyme Fermentation Optimization
Ying-Wei Tseng, Yu-Ting Kao, Yeong-Jar Chang +4 more·Feb 6, 2026
This paper introduces a new method that combines Artificial Intelligence (AI) and quantum-inspired techniques to improve the efficiency of multi-variable optimization experiments. By using advanced software simulations, this approach significantly re...
Sawtooth wave adiabatic passage in a grating magneto-optical trap
Peter K. Elgee, Ananya Sitaram, Sara Ahanchi +4 more·Feb 5, 2026
We demonstrate sawtooth wave adiabatic passage (SWAP) in a grating magneto-optical trap (MOT) operating on the $^1$S$_0$ $\rightarrow$ $^3$P$_1$ transition of neutral $^{88}$Sr. From numerical simulations of SWAP using our laser beam geometry, we fin...
Characterizing Quantum Error Correction Performance of Radiation-induced Errors
Paul G. Baity, Anuj K. Nayak, Lav R. Varshney +4 more·Feb 5, 2026
Radiation impacts are a current challenge with computing on superconducting-based quantum devices because they can lead to widespread correlated errors across the device. Such errors can be problematic for quantum error correction (QEC) codes, which ...
Hybrid Quantum Image Preparation via JPEG Compression
Emad Rezaei Fard Boosari·Feb 5, 2026
We present a hybrid classical-quantum image preparation scheme that reduces the quantum implementation cost of image loading for quantum pixel information encoding (QPIE). The proposed method, termed JPEG-assisted QPIE (JQPIE), loads only the quantiz...
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...
Determining the ensemble N-representability of Reduced Density Matrices
Ofelia B. Oña, Gustavo E. Massaccesi, Pablo Capuzzi +5 more·Feb 5, 2026
The N-representability problem for reduced density matrices remains a fundamental challenge in electronic structure theory. Following our previous work that employs a unitary-evolution algorithm based on an adaptive derivative-assembled pseudo-Trotte...
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 ...
U(1) lattice gauge theory and string roughening on a triangular Rydberg array
Lisa Bombieri, Torsten V. Zache, Hannes Pichler +1 more·Feb 5, 2026
Lattice gauge theories (LGTs) describe fundamental interactions in particle physics. A central phenomenon in these theories is confinement, which binds quarks and antiquarks into hadrons through the formation of string-like flux tubes of gauge fields...
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 Simulation of Bound and Resonant Doubly-Bottom Tetraquark
Ayanendu Dutta·Feb 5, 2026
We present the first quantum-simulation study of bound and resonant doubly-bottom tetraquark states within a QCD-inspired chiral quark model. An effective four-quark Hamiltonian is mapped onto a 16-qubit register, encoding color, spin, and spatial de...
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...
Thermal-Drift Sampling: Generating Thermal Ensembles for Learning Many-Body Systems
Jiyu Jiang, Mingrui Jing, Jizhe Lai +2 more·Feb 5, 2026
Thermal equilibrium states of many-body Hamiltonians are essential for probing quantum chaos, finite-temperature phases of matter, and training quantum machine learning models, yet generating large collections of such states across different Hamilton...
Simulation of Adjoints and Petz Recovery Maps for Unknown Quantum Channels
Chengkai Zhu, Ziao Tang, Guocheng Zhen +3 more·Feb 5, 2026
Transformations of quantum channels, such as the transpose, complex conjugate, and adjoint, are fundamental to quantum information theory. Given access to an unknown channel, a central problem is whether these transformations can be implemented physi...
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...
Simulation of boson sampling with optical feedback
Yu. A. Biriukov, I. V. Dyakonov·Feb 5, 2026
This work presents a theoretical model of boson sampling with optical feedback, in which a subset of the interferometer's output modes is looped back into the input modes. If the bosons are injected periodically into the input modes of the interferom...