F.H.B. Somhorst, B.K. Sauër, S.N. van den Hoven, and J.J. Renema
Phys. Rev. Applied 23, 044003 (2025) - Published 2 April, 2025
The foundation of fault-tolerant linear optical quantum computing is built upon the interference of identical photons to create high-fidelity entangled states. Unfortunately, fabrication limitations cause sources to emit photons that are only partially indistinguishable, leading to computational errors. To address this, the authors introduce a photon-distillation scheme based on multiphoton-interference linear optics. This protocol mitigates arbitrary indistinguishability errors in a single round. A scheme combining conventional quantum error correction and photon distillation has a higher error threshold than quantum error correction alone, and requires fewer optical components.
Renju R. Peroor, Lawrence A. Scafuri, Dmytro A. Bozhko, and Ezio Iacocca
Phys. Rev. Applied 23, 044010 (2025) - Published 4 April, 2025
Artificial spin ices (ASI) are geometric arrangements of magnetic nanoparticles that exhibit frustration, which can be reproduced at the macroscale using permanent magnets mounted on hinges. However, the dynamics of macroscopic ASIs are completely different, due to their coupled magnetic and mechanical degrees of freedom. Upon dynamic excitation, a macroscopic system enters a nonlinear regime leading to the emergence of a frequency comb: a spectrum of discrete, equally spaced frequency components. This phenomenon is attributed to a Hopf bifurcation. Perhaps similar nonlinear behaviors could be engineered in nanoscale ASIs by integrating microresonators.
Federico Grasselli, Giovanni Chesi, Nathan Walk, Hermann Kampermann, Adam Widomski, Maciej Ogrodnik, Michał Karpiński, Chiara Macchiavello, Dagmar Bruß, and Nikolai Wyderka
Phys. Rev. Applied 23, 044011 (2025) - Published 4 April, 2025
Quantum key distribution is a cornerstone of quantum secure communication, yet its real-world implementation remains a challenge. A critical vulnerability arises from basis-dependent detection probabilities, which can be exploited by an adversary. This study presents a rigorous security proof that relaxes the standard assumption of basis-independent detection probabilities, by developing a framework to quantify efficiency mismatches online and adjust the key rate accordingly. The approach ensures positive key rates in honest cases, detects and mitigates adversarial attacks that go unnoticed in conventional analyses, and shows how prior proofs may have been overly pessimistic.
Keito Kikuchi, Jun Ishihara, Miari Hiyama, Sota Yamamoto, Yuzo Ohno, Takachika Mori, Kensuke Miyajima, and Makoto Kohda
Phys. Rev. Applied 23, 044017 (2025) - Published 7 April, 2025
Precise control of spatial spin configurations, such as spin helices, is crucial for spin-based wave parallel computing. Conventional methods are constrained by fixed optical-grating periods and uniform light polarization, which restrict the ability to generate spin helices flexibly. This study offers an approach for programmable control of spin-helix periodicity and configuration that provides greater flexibility in tuning the wave number and configuration of spin textures. The technique promises significant advancements in spintronic and quantum information technologies by enabling more efficient generation and manipulation of spin textures.
Yuriy Serov, Aidar Galimov, Dmitry S. Smirnov, Maxim Rakhlin, Nikita Leppenen, Grigorii Klimko, Sergey Sorokin, Irina Sedova, Daria Berezina, Yuliya Salii, Marina Kulagina, Yuriy Zadiranov, Sergey Troshkov, Tatiana V. Shubina, and Alexey A. Toropov
Phys. Rev. Applied 23, 044019 (2025) - Published 8 April, 2025
Measurement-based quantum computing, vital for scalable photonic quantum technologies, is limited by inefficient generation of high-fidelity cluster states from spin-photon entanglement in semiconductor quantum dots. This work explores the deep connections between quantum dot spin physics and quantum optics, leading to the discovery of strong anisotropy in the entanglement process and identification of optimal entanglement conditions to improve cluster-state fidelity. That insight enables improved cluster-state sources, advancing optical quantum computing and quantum networks.
Lewis A. Clark and Jan Kołodyński
Phys. Rev. Applied 23, 044040 (2025) - Published 18 April, 2025
The ability to perform statistical inference (crucial for sensing tasks) on complex quantum systems is currently limited by the computational power available to process the system dynamics. Here this problem is bypassed, by implementing a likelihood-free approach to reconstruct posterior distributions without a substantial loss in accuracy. The results of this study allow, in principle, a great increase in the range of systems where statistical inference can be performed, such as in dynamics involving nonclassical correlations, and thus provide many fresh opportunities in quantum sensing.
Samarth Hawaldar, Siddhi Satish Khaire, Per Delsing, and Baladitya Suri
Phys. Rev. Applied 23, 044042 (2025) - Published 18 April, 2025
Single photons are an important resource in quantum communication, sensing, and cryptography, owing to their extreme sensitivity to measurement or eavesdropping. In the microwave domain, single-photon generation with control over frequency, timing, and photon shape has been demonstrated, but scale-up has been limited by issues with footprint and control-pulse leakage. This study uses well-understood Landau-Zener (diabatic) transitions in two-level systems to propose a way to design and operate a single-photon source of considerably lower footprint, design complexity, and control-pulse leakage compared to previous works, while maintaining wideband operation and high quantum efficiency.
S. Mirzaei-Ghormish and Ryan M. Camacho
Phys. Rev. Applied 23, 044044 (2025) - Published 21 April, 2025
Optical binding, the light-induced self-organization of particles, is essential in levitated optomechanics, nanomaterials, and quantum optics. Conventional models are limited to linear optical interactions, though, and lack tunable mechanisms for trap stabilization or reconfiguration that do not involve moving the optical fields themselves. This work develops a theory of nonlinear optical binding that produces surprising equilibrium configurations, tunable trap periodicities, and enhanced stability at subwavelength separations, with no beam shaping or external fields. These results may provide a concrete pathway for power-controlled particle assembly and programmable optical matter.
Tomoya Sato, Naoki Nishimura, Naoki Kaku, Sotatsu Otabe, Takuya Kawasaki, Toshiyuki Hosoya, and Mikio Kozuma
Phys. Rev. Applied 23, 044001 (2025) - Published 1 April, 2025
Chuyao Chen, Jialin Yang, Hengze Qu, Wenhan Zhou, Tingting Guo, Weicong Sun, Xiufeng Song, Xiaojia Yuan, and Shengli Zhang
Phys. Rev. Applied 23, 044002 (2025) - Published 2 April, 2025
F.H.B. Somhorst, B.K. Sauër, S.N. van den Hoven, and J.J. Renema
Phys. Rev. Applied 23, 044003 (2025) - Published 2 April, 2025
The foundation of fault-tolerant linear optical quantum computing is built upon the interference of identical photons to create high-fidelity entangled states. Unfortunately, fabrication limitations cause sources to emit photons that are only partially indistinguishable, leading to computational errors. To address this, the authors introduce a photon-distillation scheme based on multiphoton-interference linear optics. This protocol mitigates arbitrary indistinguishability errors in a single round. A scheme combining conventional quantum error correction and photon distillation has a higher error threshold than quantum error correction alone, and requires fewer optical components.
Tao Chen and Puqing Jiang
Phys. Rev. Applied 23, 044004 (2025) - Published 2 April, 2025
Shi-Jie Cui, Zhi-Guo Geng, Zhaojiang Chen, Ya-Xi Shen, and Xue-Feng Zhu
Phys. Rev. Applied 23, 044005 (2025) - Published 3 April, 2025
Jiang-Yuan Lian, Tian-Yu Ye, and Chong-Qiang Ye
Phys. Rev. Applied 23, 044006 (2025) - Published 3 April, 2025
Zachary P. Bradshaw, Ethan N. Evans, Matthew Cook, and Margarite L. LaBorde
Phys. Rev. Applied 23, 044007 (2025) - Published 3 April, 2025
A. Bach, A. Chapuis, C. Morin, R. Hostein, S. Germanis, B. Eble, M. Bernard, F. Margaillan, P. Atkinson, V. Voliotis, K. Moratis, and R. Braive
Phys. Rev. Applied 23, 044008 (2025) - Published 3 April, 2025
Benjamin Scellier and Siddhartha Mishra
Phys. Rev. Applied 23, 044009 (2025) - Published 3 April, 2025
Resistive networks that train themselves using local learning rules such as equilibrium propagation show promise as energy-efficient alternatives to neural networks. Their computational capabilities remain unclear, though, as they solve circuit equations rather than standard neural-network equations. This study demonstrates mathematically that a deep resistive network built from (ideal) ohmic resistors, diodes, voltage sources, and voltage amplifiers can approximate to arbitrary accuracy any neural network based on the rectified-linear-unit activation function. This insight is expected to inform the design of self-learning resistor networks capable of universal function approximation.
Renju R. Peroor, Lawrence A. Scafuri, Dmytro A. Bozhko, and Ezio Iacocca
Phys. Rev. Applied 23, 044010 (2025) - Published 4 April, 2025
Artificial spin ices (ASI) are geometric arrangements of magnetic nanoparticles that exhibit frustration, which can be reproduced at the macroscale using permanent magnets mounted on hinges. However, the dynamics of macroscopic ASIs are completely different, due to their coupled magnetic and mechanical degrees of freedom. Upon dynamic excitation, a macroscopic system enters a nonlinear regime leading to the emergence of a frequency comb: a spectrum of discrete, equally spaced frequency components. This phenomenon is attributed to a Hopf bifurcation. Perhaps similar nonlinear behaviors could be engineered in nanoscale ASIs by integrating microresonators.
Federico Grasselli, Giovanni Chesi, Nathan Walk, Hermann Kampermann, Adam Widomski, Maciej Ogrodnik, Michał Karpiński, Chiara Macchiavello, Dagmar Bruß, and Nikolai Wyderka
Phys. Rev. Applied 23, 044011 (2025) - Published 4 April, 2025
Quantum key distribution is a cornerstone of quantum secure communication, yet its real-world implementation remains a challenge. A critical vulnerability arises from basis-dependent detection probabilities, which can be exploited by an adversary. This study presents a rigorous security proof that relaxes the standard assumption of basis-independent detection probabilities, by developing a framework to quantify efficiency mismatches online and adjust the key rate accordingly. The approach ensures positive key rates in honest cases, detects and mitigates adversarial attacks that go unnoticed in conventional analyses, and shows how prior proofs may have been overly pessimistic.
David A. Broadway, Mykhailo Flaks, Adrien E.E. Dubois, and Patrick Maletinsky
Phys. Rev. Applied 23, 044012 (2025) - Published 4 April, 2025
Evgeny Sedov and Alexey Kavokin
Phys. Rev. Applied 23, 044013 (2025) - Published 4 April, 2025
Renato M.S. Farias, Thiago O. Maciel, Giancarlo Camilo, Ruge Lin, Sergi Ramos-Calderer, and Leandro Aolita
Phys. Rev. Applied 23, 044014 (2025) - Published 4 April, 2025
Jan Krause, Nino Walenta, Jonas Hilt, and Ronald Freund
Phys. Rev. Applied 23, 044015 (2025) - Published 7 April, 2025
Chunfeng Wu, Chunfang Sun, Jiangang Ma, Ding Huang, Xun-Li Feng, and L.C. Kwek
Phys. Rev. Applied 23, 044016 (2025) - Published 7 April, 2025
Keito Kikuchi, Jun Ishihara, Miari Hiyama, Sota Yamamoto, Yuzo Ohno, Takachika Mori, Kensuke Miyajima, and Makoto Kohda
Phys. Rev. Applied 23, 044017 (2025) - Published 7 April, 2025
Precise control of spatial spin configurations, such as spin helices, is crucial for spin-based wave parallel computing. Conventional methods are constrained by fixed optical-grating periods and uniform light polarization, which restrict the ability to generate spin helices flexibly. This study offers an approach for programmable control of spin-helix periodicity and configuration that provides greater flexibility in tuning the wave number and configuration of spin textures. The technique promises significant advancements in spintronic and quantum information technologies by enabling more efficient generation and manipulation of spin textures.
Yann Le-Guen, Maxime Verges, Michel Hehn, Stephane Mangin, and Julius Hohlfeld
Phys. Rev. Applied 23, 044018 (2025) - Published 7 April, 2025
Yuriy Serov, Aidar Galimov, Dmitry S. Smirnov, Maxim Rakhlin, Nikita Leppenen, Grigorii Klimko, Sergey Sorokin, Irina Sedova, Daria Berezina, Yuliya Salii, Marina Kulagina, Yuriy Zadiranov, Sergey Troshkov, Tatiana V. Shubina, and Alexey A. Toropov
Phys. Rev. Applied 23, 044019 (2025) - Published 8 April, 2025
Measurement-based quantum computing, vital for scalable photonic quantum technologies, is limited by inefficient generation of high-fidelity cluster states from spin-photon entanglement in semiconductor quantum dots. This work explores the deep connections between quantum dot spin physics and quantum optics, leading to the discovery of strong anisotropy in the entanglement process and identification of optimal entanglement conditions to improve cluster-state fidelity. That insight enables improved cluster-state sources, advancing optical quantum computing and quantum networks.
Yuyang Han, Yang Xu, Shengcan Ma, Wei Ren, Liting Jiang, Changcai Chen, Chunsheng Fang, Xiaohua Luo, and Enke Liu
Phys. Rev. Applied 23, 044020 (2025) - Published 8 April, 2025
Yimiao Wu, Shaoping Shi, Xuan Liu, Long Tian, Wei Li, Yajun Wang, and Yaohui Zheng
Phys. Rev. Applied 23, 044021 (2025) - Published 8 April, 2025
Ersoy Şaşıoğlu, Paul Bodewei, Nicki F. Hinsche, and Ingrid Mertig
Phys. Rev. Applied 23, 044022 (2025) - Published 8 April, 2025
Y. Kalboussi, I. Curci, F. Miserque, D. Troadec, N. Brun, M. Walls, G. Jullien, F. Eozenou, M. Baudrier, L. Maurice, Q. Bertrand, P. Sahuquet, and T. Proslier
Phys. Rev. Applied 23, 044023 (2025) - Published 9 April, 2025
A. De Lorenzis, M.P. Casado, M.P. Estarellas, N. Lo Gullo, T. Lux, F. Plastina, A. Riera, and J. Settino
Phys. Rev. Applied 23, 044024 (2025) - Published 9 April, 2025
Emily J. Ahern, Sarah K. Scholten, Clayton Locke, Nicolas Bourbeau Hébert, Benjamin White, Andre N. Luiten, and Christopher Perrella
Phys. Rev. Applied 23, 044025 (2025) - Published 9 April, 2025
Ateeb Naseer, Keshari Nandan, Musaib Rafiq, Amit Agarwal, Somnath Bhowmick, and Yogesh Singh Chauhan
Phys. Rev. Applied 23, 044026 (2025) - Published 10 April, 2025
F. Colauto, D. Carmo, A.M.H. de Andrade, A.A.M. Oliveira, M. Motta, and W.A. Ortiz
Phys. Rev. Applied 23, 044027 (2025) - Published 10 April, 2025
Antonios M. Alvertis, Abid Khan, and Norm M. Tubman
Phys. Rev. Applied 23, 044028 (2025) - Published 11 April, 2025
Yiwen Yang, Luojia Wang, Zhaohui Dong, Xiaoxiong Wu, Danying Yu, Xianfeng Chen, Avik Dutt, and Luqi Yuan
Phys. Rev. Applied 23, 044029 (2025) - Published 11 April, 2025
Yulin Xia, Denis Martynov, Hao Yan, and Haixing Miao
Phys. Rev. Applied 23, 044030 (2025) - Published 11 April, 2025
Qi Chen, Limin Gu, Chunyu Zhao, Xiaole Wang, and Zhenyu Huang
Phys. Rev. Applied 23, 044031 (2025) - Published 14 April, 2025
Anette Messinger, Valentin Torggler, Berend Klaver, Michael Fellner, and Wolfgang Lechner
Phys. Rev. Applied 23, 044032 (2025) - Published 14 April, 2025
Rui Li, Shikun Zhang, Zheng Qin, Chunxiao Du, Yang Zhou, and Zhisong Xiao
Phys. Rev. Applied 23, 044033 (2025) - Published 15 April, 2025
Sang Vin Jang, Hayoung Chung, and Joo Hwan Oh
Phys. Rev. Applied 23, 044034 (2025) - Published 16 April, 2025
Juan Lyu, Shuai Lang, Ni Dong, Shun Song, Jian Gong, and Huanglong Li
Phys. Rev. Applied 23, 044035 (2025) - Published 16 April, 2025
Eduardo Willwock Lussi, Rafael de Santiago, and Eduardo Inacio Duzzioni
Phys. Rev. Applied 23, 044036 (2025) - Published 16 April, 2025
David S. La Mantia, Mingxin Lei, Nikunjkumar Prajapati, Noah Schlossberger, Matthew T. Simons, Christopher L. Holloway, Julia Scherschligt, Stephen P. Eckel, and Eric B. Norrgard
Phys. Rev. Applied 23, 044037 (2025) - Published 17 April, 2025
Tianyun Long, Ye Chen, Winfried Decking, Gianluca Geloni, Marc Guetg, Senlin Huang, Vitali Kocharyan, Shan Liu, Weilun Qin, Svitozar Serkez, and Jiawei Yan
Phys. Rev. Applied 23, 044038 (2025) - Published 17 April, 2025
Jiajie He, Xue Jiang, and Dean Ta
Phys. Rev. Applied 23, 044039 (2025) - Published 17 April, 2025
Lewis A. Clark and Jan Kołodyński
Phys. Rev. Applied 23, 044040 (2025) - Published 18 April, 2025
The ability to perform statistical inference (crucial for sensing tasks) on complex quantum systems is currently limited by the computational power available to process the system dynamics. Here this problem is bypassed, by implementing a likelihood-free approach to reconstruct posterior distributions without a substantial loss in accuracy. The results of this study allow, in principle, a great increase in the range of systems where statistical inference can be performed, such as in dynamics involving nonclassical correlations, and thus provide many fresh opportunities in quantum sensing.
Hanying Zhang, Ziqian Cui, Baiqing Jiang, Yuan Wang, and C. Bi
Phys. Rev. Applied 23, 044041 (2025) - Published 18 April, 2025
Samarth Hawaldar, Siddhi Satish Khaire, Per Delsing, and Baladitya Suri
Phys. Rev. Applied 23, 044042 (2025) - Published 18 April, 2025
Single photons are an important resource in quantum communication, sensing, and cryptography, owing to their extreme sensitivity to measurement or eavesdropping. In the microwave domain, single-photon generation with control over frequency, timing, and photon shape has been demonstrated, but scale-up has been limited by issues with footprint and control-pulse leakage. This study uses well-understood Landau-Zener (diabatic) transitions in two-level systems to propose a way to design and operate a single-photon source of considerably lower footprint, design complexity, and control-pulse leakage compared to previous works, while maintaining wideband operation and high quantum efficiency.
K. Dinar, J. Delgado-Notario, C. Bray, K. Maussang, E. Perez-Martin, B. Benhamou-Bui, C. Consejo, S. Ruffenach, S.S. Krishtopenko, L. Bonnet, M. Paillet, J. Torres, Y.M. Meziani, I. Rozhansky, B. Jouault, S. Nanot, and F. Teppe
Phys. Rev. Applied 23, 044043 (2025) - Published 21 April, 2025
S. Mirzaei-Ghormish and Ryan M. Camacho
Phys. Rev. Applied 23, 044044 (2025) - Published 21 April, 2025
Optical binding, the light-induced self-organization of particles, is essential in levitated optomechanics, nanomaterials, and quantum optics. Conventional models are limited to linear optical interactions, though, and lack tunable mechanisms for trap stabilization or reconfiguration that do not involve moving the optical fields themselves. This work develops a theory of nonlinear optical binding that produces surprising equilibrium configurations, tunable trap periodicities, and enhanced stability at subwavelength separations, with no beam shaping or external fields. These results may provide a concrete pathway for power-controlled particle assembly and programmable optical matter.
Xue Dong, Xi Cao, Wen-Long Li, Guofeng Zhang, Zhihui Peng, and Re-Bing Wu
Phys. Rev. Applied 23, 044045 (2025) - Published 21 April, 2025
Jamie Heredge, Maxwell West, Lloyd Hollenberg, and Martin Sevior
Phys. Rev. Applied 23, 044046 (2025) - Published 21 April, 2025
Temitayo N. Adeyeye, Sidra Gibeault, Daniel P. Lathrop, Matthew W. Daniels, Mark D. Stiles, Jabez J. McClelland, William A. Borders, Jason T. Ryan, Philippe Talatchian, Ursula Ebels, and Advait Madhavan
Phys. Rev. Applied 23, 044047 (2025) - Published 22 April, 2025
Yafeng Chen, Yuting Yang, Shiyu Liu, Zhihao Lan, Shanjun Liang, Jie Zhu, and Zhongqing Su
Phys. Rev. Applied 23, 044048 (2025) - Published 22 April, 2025
Man-Yin Zhao, Jiao-Jiao Zhang, Zhi-Guo Geng, Zhaojiang Chen, Ya-Xi Shen, and Xue-Feng Zhu
Phys. Rev. Applied 23, 044049 (2025) - Published 22 April, 2025
Brij Mohan, Rajeev Gangwar, Tanmoy Pandit, Mohit Lal Bera, Maciej Lewenstein, and Manabendra Nath Bera
Phys. Rev. Applied 23, 044050 (2025) - Published 23 April, 2025
Jian-feng Xiao, Hongping Liu, Guang-ming Huang, and Gao-xiang Li
Phys. Rev. Applied 23, 044051 (2025) - Published 23 April, 2025
Alexander Zhuravlev, Yury Kurenkov, Xuchen Wang, Fedor Dushko, Viktor Zalipaev, and Stanislav Glybovski
Phys. Rev. Applied 23, 044052 (2025) - Published 23 April, 2025
Fang-Ming Jing, Zhen-Xiong Shen, Guo-Quan Qin, Wei-Kang Zhang, Ting Lin, Ranran Cai, Zhuo-Zhi Zhang, Gang Cao, Lixin He, Xiang-Xiang Song, and Guo-Ping Guo
Phys. Rev. Applied 23, 044053 (2025) - Published 24 April, 2025
Dante Colao Zanuz, Quentin Ficheux, Laurent Michaud, Alexei Orekhov, Kilian Hanke, Alexander Flasby, Mohsen Bahrami Panah, Graham J. Norris, Michael Kerschbaum, Ants Remm, François Swiadek, Christoph Hellings, Stefania Lazăr, Colin Scarato, Nathan Lacroix, Sebastian Krinner, Christopher Eichler, Andreas Wallraff, and Jean-Claude Besse
Phys. Rev. Applied 23, 044054 (2025) - Published 24 April, 2025
Harry Hanlim Kang, Ilan T. Rosen, Max Hays, Jeffrey A. Grover, and William D. Oliver
Phys. Rev. Applied 23, 044055 (2025) - Published 24 April, 2025
Artem Basalaev, Jan-Niklas Feldhusen, and Oliver Gerberding
Phys. Rev. Applied 23, 044056 (2025) - Published 25 April, 2025
Weitao Yuan, Jinfeng Zhao, and Guozheng Kang
Phys. Rev. Applied 23, 044057 (2025) - Published 25 April, 2025
Zhuoqun Xu and Lailai Zhu
Phys. Rev. Applied 23, 044058 (2025) - Published 25 April, 2025
Aleksandr Buzdakov, Thomas Blank, Konstantin Zvezdin, Oksana Chubykalo-Fesenko, and Alexey Kimel
Phys. Rev. Applied 23, 044059 (2025) - Published 28 April, 2025
Shuo Zhao, Liwei Jiang, and Yisong Zheng
Phys. Rev. Applied 23, 044060 (2025) - Published 28 April, 2025
A.-M. Daré, C. Demarez, J. Missirian, and F. Michelini
Phys. Rev. Applied 23, 044061 (2025) - Published 28 April, 2025
Hao Bai, Heng-An Zhou, Weibin Li, Teng Xu, Ledong Wang, Pierluigi Gargiani, Manuel Valvidares, and Wanjun Jiang
Phys. Rev. Applied 23, 044062 (2025) - Published 29 April, 2025
Feiyang Ye, Ammar Ellaboudy, and John M. Nichol
Phys. Rev. Applied 23, 044063 (2025) - Published 29 April, 2025
Fei Wang et al.
Phys. Rev. Applied 23, 044064 (2025) - Published 29 April, 2025
Ying Zhang and Yang Xiao
Phys. Rev. Applied 23, 044065 (2025) - Published 30 April, 2025
L. Han, X.Z. Fu, W.Q. He, J.K. Dai, Y.X. Zhu, W.F. Yang, Y.L. Chen, J.C. Zhang, W.X. Zhu, H. Bai, C. Chen, D.Z. Hou, C.H. Wan, X.F. Han, C. Song, J.W. Liu, and F. Pan
Phys. Rev. Applied 23, 044066 (2025) - Published 30 April, 2025
Vladimir M. Krasnov
Phys. Rev. Applied 23, 049901 (2025) - Published 16 April, 2025
