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Quantum key distribution over 100 km of underwater optical fiber assisted by a fast-gated single-photon detector

Domenico Ribezzo, Mujtaba Zahidy, Gianmarco Lemmi, Antoine Petitjean, Claudia De Lazzari, Ilaria Vagniluca, Enrico Conca, Alberto Tosi, Tommaso Occhipinti, Leif K. Oxenløwe, André Xuereb, Davide Bacco, and Alessandro Zavatta

Phys. Rev. Applied 20, 044052 (2023) - Published 19 October, 2023

Transmon-qubit readout using an in situ bifurcation amplification in the mesoscopic regime

R. Dassonneville, T. Ramos, V. Milchakov, C. Mori, L. Planat, F. Foroughi, C. Naud, W. Hasch-Guichard, J.J. García-Ripoll, N. Roch, and O. Buisson

Phys. Rev. Applied 20, 044050 (2023) - Published 19 October, 2023

Distillation of optical Fock states using atom-cavity systems

G.P. Teja and Chanchal

Phys. Rev. Applied 20, 044049 (2023) - Published 18 October, 2023

Optical transmitter tunable over a 65-nm wavelength range around 1550 nm for quantum key distribution

Benjamin Griffiths, Yuen San Lo, James F. Dynes, Robert I. Woodward, and Andrew J. Shields

Phys. Rev. Applied 20, 044040 (2023) - Published 16 October, 2023

Room-temperature addressing of single rare-earth atoms in optical fiber

Mikio Takezawa, Ryota Suzuki, Junichi Takahashi, Kaito Shimizu, Ayumu Naruki, Kazutaka Katsumata, Kae Nemoto, Mark Sadgrove, and Kaoru Sanaka

Phys. Rev. Applied 20, 044038 (2023) - Published 16 October, 2023

Diamond optomechanical cavity with a color center for coherent microwave-to-optical quantum interfaces

Byunggi Kim, Hodaka Kurokawa, Katsuta Sakai, Kazuki Koshino, Hideo Kosaka, and Masahiro Nomura

Phys. Rev. Applied 20, 044037 (2023) - Published 13 October, 2023

Universal device for two-qubit entangled measurements via photonic quantum walks

Wen-Zhe Yan, Zhibo Hou, Jun-Feng Tang, Guo-Yong Xiang, Chuan-Feng Li, Guang-Can Guo, and Marc-Olivier Renou

Phys. Rev. Applied 20, 044032 (2023) - Published 12 October, 2023

Fiber-integrated microwave-to-optical quantum transducer

Wenfang Li, Jinjin Du, C. M. Wilson, and Michal Bajcsy

Phys. Rev. Applied 20, 044031 (2023) - Published 11 October, 2023

Quantum repeaters and teleportation via entangled phase-modulated multimode coherent states

R. Goncharov, Alexei D. Kiselev, E.S. Moiseev, E. Samsonov, S.A. Moiseev, F. Kiselev, and V. Egorov

Phys. Rev. Applied 20, 044030 (2023) - Published 11 October, 2023

Tunable-coupling architectures with capacitively connecting pads for large-scale superconducting multiqubit processors

Gui-Han Liang, Xiao-Hui Song, Cheng-Lin Deng, Xu-Yang Gu, Yu Yan, Zheng-Yang Mei, Si-Lu Zhao, Yi-Zhou Bu, Yong-Xi Xiao, Yi-Han Yu, Ming-Chuan Wang, Tong Liu, Yun-Hao Shi, He Zhang, Xiang Li, Li Li, Jing-Zhe Wang, Ye Tian, Shi-Ping Zhao, Kai Xu, Heng Fan, Zhong-Cheng Xiang, and Dong-Ning Zheng

Phys. Rev. Applied 20, 044028 (2023) - Published 10 October, 2023

NbN films with high kinetic inductance for high-quality compact superconducting resonators

S. Frasca, I.N. Arabadzhiev, S.Y. Bros de Puechredon, F. Oppliger, V. Jouanny, R. Musio, M. Scigliuzzo, F. Minganti, P. Scarlino, and E. Charbon

Phys. Rev. Applied 20, 044021 (2023) - Published 9 October, 2023

Near-infrared hybrid quantum photonic interface for 171Yb3+ solid-state qubits

Chun-Ju Wu, Daniel Riedel, Andrei Ruskuc, Ding Zhong, Hyounghan Kwon, and Andrei Faraon

Phys. Rev. Applied 20, 044018 (2023) - Published 6 October, 2023

171Yb3+ ions in yttrium orthovanadate are promising candidates for building quantum networks, based on their excellent optical and spin properties and access to a secondary nuclear-spin quantum register. In this study the authors transfer GaAs photonic crystal nanobeam resonators to the surface of the host YVO4 to enhance the optical transitions of the Yb3+ ions and efficiently collect the emitted photons. This hybrid quantum photonic interface facilitates addressing of single Yb3+ ions and paves the way for the implementation of a scalable photonic architecture in the near infrared.

Quantum remote implementation with polarization-temporal hyperentanglement

Meiyu Wang, Hao Guo, Fengli Yan, and Ting Gao

Phys. Rev. Applied 20, 044016 (2023) - Published 5 October, 2023

Generating Bell states and N-partite W states of long-distance qubits in superconducting waveguide QED

Guo-Qiang Zhang, Wei Feng, Wei Xiong, Da Xu, Qi-Ping Su, and Chui-Ping Yang

Phys. Rev. Applied 20, 044014 (2023) - Published 5 October, 2023

Effect of light injection on the security of practical quantum key distribution

Liying Han, Yang Li, Hao Tan, Weiyang Zhang, Wenqi Cai, Juan Yin, Jigang Ren, Feihu Xu, Shengkai Liao, and Chengzhi Peng

Phys. Rev. Applied 20, 044013 (2023) - Published 5 October, 2023

Voltage-activated parametric entangling gates based on gatemon qubits

Yinqi Chen, Konstantin N. Nesterov, Hugh Churchill, Javad Shabani, Vladimir E. Manucharyan, and Maxim G. Vavilov

Phys. Rev. Applied 20, 044012 (2023) - Published 5 October, 2023

One-time universal hashing quantum digital signatures without perfect keys

Bing-Hong Li, Yuan-Mei Xie, Xiao-Yu Cao, Chen-Long Li, Yao Fu, Hua-Lei Yin, and Zeng-Bing Chen

Phys. Rev. Applied 20, 044011 (2023) - Published 4 October, 2023

Operational entanglement-based quantum key distribution over 50 km of field-deployed optical fibers

Yoann Pelet, Grégory Sauder, Mathis Cohen, Laurent Labonté, Olivier Alibart, Anthony Martin, and Sébastien Tanzilli

Phys. Rev. Applied 20, 044006 (2023) - Published 3 October, 2023

Quantified effects of the laser-seeding attack in quantum key distribution

V. Lovic, D.G. Marangon, P.R. Smith, R.I. Woodward, and A.J. Shields

Phys. Rev. Applied 20, 044005 (2023) - Published 3 October, 2023

Efficient and quantum-adaptive machine learning with fermion neural networks

Pei-Lin Zheng, Jia-Bao Wang, and Yi Zhang

Phys. Rev. Applied 20, 044002 (2023) - Published 2 October, 2023

Application of machine learning to quantum data and models has been held back by the lack of adaptability and efficiency in present-day neural networks. This study proposes fermion neural networks for quantum-adaptive machine learning with direct applications to complex quantum systems, and offers in situ analysis without preprocessing or presumption. An efficient optimization comparable to back propagation is established, enabling competitive performance in challenging machine-learning benchmarks. Fermion neural networks’ quantum properties, such as entanglement and correlation, also bring various advantages and insights.

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