Recent Articles

Single-shot labeling of quantum observables

Nidhin Sudarsanan Ragini and Mario Ziman

Phys. Rev. A 109, 052415 (2024) - Published 9 May, 2024

Achieving the Heisenberg limit with Dicke states in noisy quantum metrology

Zain H. Saleem, Michael Perlin, Anil Shaji, and Stephen K. Gray

Phys. Rev. A 109, 052615 (2024) - Published 9 May, 2024

Learning the tensor network model of a quantum state using a few single-qubit measurements

Sergei Kuzmin, Varvara Mikhailova, Ivan Dyakonov, and Stanislav Straupe

Phys. Rev. A 109, 052616 (2024) - Published 9 May, 2024

Calculation of electron-impact and photoionization cross sections of methane using analytical Gaussian integrals

Abdallah Ammar, Arnaud Leclerc, and Lorenzo Ugo Ancarani

Phys. Rev. A 109, 052810 (2024) - Published 9 May, 2024

Subshell-resolved electron capture in O4+-He collisions near Bohr velocity

K. Z. Lin, Y. Gao, X. L. Zhu, S. F. Zhang, T. Cao, D. L. Guo, X. Shan, D. M. Zhao, X. J. Chen, and X. Ma

Phys. Rev. A 109, 052811 (2024) - Published 9 May, 2024

Core-hole jumping between heavy atoms enabled by retardation

Jaroslav Hofierka and Lorenz S. Cederbaum

Phys. Rev. A 109, 052812 (2024) - Published 9 May, 2024

Ground-state phases and collective modes of supersolid spin-orbit-coupled Bose-Einstein condensates

Jun-Cheng Liang, Ai-Xia Zhang, and Ju-Kui Xue

Phys. Rev. A 109, 053307 (2024) - Published 9 May, 2024

Adjoint master equation for multitime correlators

Ivan V. Panyukov, Vladislav Yu. Shishkov, and Evgeny S. Andrianov

Phys. Rev. A 109, 052207 (2024) - Published 8 May, 2024

Experimental investigation of contextual robustness and coherence in state discrimination

Jingyan Lin, Kunkun Wang, Lei Xiao, Dengke Qu, Gaoyan Zhu, Yong Zhang, and Peng Xue

Phys. Rev. A 109, 052208 (2024) - Published 8 May, 2024

Continuous-variable quantum computation of the O(3) model in 1+1 dimensions

Raghav G. Jha, Felix Ringer, George Siopsis, and Shane Thompson

Phys. Rev. A 109, 052412 (2024) - Published 8 May, 2024

Epsilon measures of state-based quantum resource theory

Yu Luo, Fanxu Meng, and Youle Wang

Phys. Rev. A 109, 052413 (2024) - Published 8 May, 2024

Robustness of the projected squeezed state protocol

B. J. Alexander, J. J. Bollinger, and M. S. Tame

Phys. Rev. A 109, 052614 (2024) - Published 8 May, 2024

Kubo-Anderson theory of polariton line shape

Clàudia Climent, Joseph E. Subotnik, and Abraham Nitzan

Phys. Rev. A 109, 052809 (2024) - Published 8 May, 2024

Isolated-attosecond-pulse high-order harmonic generation of keV x rays

Hsu-hsin Chu and Jyhpyng Wang

Phys. Rev. A 109, 053511 (2024) - Published 8 May, 2024

Noise mitigation for high-sensitivity phase estimation based on weak measurements

Xiaorui Tan, Hongjing Li, Qi Song, Chunhui Shi, Qingxin Deng, Binke Xia, Zhongyuan Luo, Jingzheng Huang, and Guihua Zeng

Phys. Rev. A 109, 053512 (2024) - Published 8 May, 2024

Dissipatively stabilized superposition of squeezed coherent states via periodically breaking the qubit inversion symmetry

Peng Xie, Xing-chen Wang, Jing-wei Wang, Xin-ke Li, Yuan Zhou, Guang-hui Wang, Fazal Badshah, and Yong-chen Xiong

Phys. Rev. A 109, 052409 (2024) - Published 7 May, 2024

Quantum-assisted Hilbert-space Gaussian process regression

Ahmad Farooq, Cristian A. Galvis-Florez, and Simo Särkkä

Phys. Rev. A 109, 052410 (2024) - Published 7 May, 2024

Predicting the onset of quantum synchronization using machine learning

F. Mahlow, B. Çakmak, G. Karpat, İ. Yalçınkaya, and F. F. Fanchini

Phys. Rev. A 109, 052411 (2024) - Published 7 May, 2024

In an open system, environment-induced synchronization can occur between the expectation values of spin observables of a pair of qubits. Here, the authors apply a machine learning method to predict the emergence of such synchronization.

Optimization of direct-detection quantum illumination

Thomas Brougham and John Jeffers

Phys. Rev. A 109, 052612 (2024) - Published 7 May, 2024

Exploring shallow-depth boson sampling: Toward a scalable quantum advantage

Byeongseon Go, Changhun Oh, Liang Jiang, and Hyunseok Jeong

Phys. Rev. A 109, 052613 (2024) - Published 7 May, 2024

Boson sampling is a promising candidate for showcasing quantum advantage. However, achieving this advantage involves pinpointing the optimal balance between shallow-depth circuits, which are susceptible to classical simulation, and larger-depth circuits prone to noise. Here, the authors introduce a linear-optical circuit design with nonlocal gates, aimed at enhancing the probability of demonstrating advantage even with shallow circuit depths.

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