Volume 18, Issue 6 December 2022 | | Advertisement | APS is pleased to announce that Dr. Stephen Nagler of Oak Ridge Laboratory has been selected to succeed Dr. Laurens Molenkamp as Lead Editor of Physical Review B. The transition to Dr. Nagler will be effective as of February 1, 2023. Learn more » | | | | | | Advertisement APS is pleased to announce that we have extended our waiver period of all article publication charges (APC) on manuscripts submitted prior to January 1, 2024 and subsequently accepted and published by PRX Energy. We encourage you to take advantage of this promotion and submit your research » | | | | | Not an APS member? Join today to start connecting with a community of more than 50,000 physicists. | | | | Editors' Suggestion Jun Kang and Lin-Wang Wang Phys. Rev. Applied 18, 064001 (2022) – Published 1 December 2022 | Shallow impurities play critical roles in the applications of semiconductor materials, but their simulations through first-principles calculations are challenging due to the delocalized nature of the impurity wave function. The authors propose a first-principles approach to study shallow impurities, which allows simulations of extremely large supercells to obtain converged impurity levels and wave functions. The method is applied to acceptor-carbon complexes in silicon and yields good agreement with experiments. This work thus presents a feasible approach for accurate simulations of shallow impurities and can provide helpful insights to assist experimental dopant engineering. | | | | | | Editors' Suggestion Bas van der Zee, Yungui Li, Gert-Jan A.H. Wetzelaer, and Paul W.M. Blom Phys. Rev. Applied 18, 064002 (2022) – Published 1 December 2022 | Organic light-emitting diodes (OLEDs) based on thermally activated delayed fluorescence (TADF) are alternatives to today's commercial phosphorescent OLEDs with heavy-metal dopants, but their limited stability remains a key issue. This work provides a quantitative insight into the degradation mechanisms. The authors reproduce the voltage and light output using a recently developed device model, and find that triplet-polaron annihilation is the driving force behind the formation of degradation traps. This understanding leads to the experimental demonstration of enhanced device lifetime, and will provide guidance towards improved stability of TADF OLEDs. | | | | | | Editors' Suggestion Jake Horder, Simon J.U. White, Angus Gale, Chi Li, Kenji Watanabe, Takashi Taniguchi, Mehran Kianinia, Igor Aharonovich, and Milos Toth Phys. Rev. Applied 18, 064021 (2022) – Published 8 December 2022 | Lattice defects in two-dimensional materials are compelling sources of single photons for applications in quantum information processing. However, the range of emission wavelengths is broad, the defect types vary and the atomic structures of most are unknown, and the inability to fabricate defects systematically on demand has limited progress. This work leverages a robust, site-specific fabrication technique to produce arrays of blue quantum emitters for study via cryogenic spectroscopy. The authors characterize processes that limit emitter coherence and observe Rabi oscillations, demonstrating the potential of these defects for scalable quantum technologies. | | | | | | Editors' Suggestion Anasua Chatterjee, Fabio Ansaloni, Torbjørn Rasmussen, Bertram Brovang, Federico Fedele, Heorhii Bohuslavskyi, Oswin Krause, and Ferdinand Kuemmeth Phys. Rev. Applied 18, 064040 (2022) – Published 14 December 2022 | In spin-based quantum processors, each quantum dot of a qubit is populated by exactly one electron, which requires careful tuning of each gate voltage such that it lies inside the charge-stability region (the "Coulomb diamond") associated with the dot array. However, mapping the boundary of a multidimensional Coulomb diamond by traditional dense raster scanning would take years, so the authors develop a sparse acquisition technique that autonomously learns Coulomb-diamond boundaries from a small number of measurements. Here we have hardware-triggered line searches in the gate-voltage space of a silicon quadruple dot, with smart search directions proposed by an active-learning algorithm. | | | | | | Editors' Suggestion Emilien Lavie and Charles C.-W. Lim Phys. Rev. Applied 18, 064053 (2022) – Published 19 December 2022 | Coherent one-way quantum key distribution (COW-QKD) is a popular cryptography protocol, due to its fairly simple implementation and passive measurement device. Its security analysis is challenging, though, and extra assumptions or modifications are typically employed. Here the authors propose minor modifications to COW-QKD's prepared states while retaining the original, fully passive measurement device, and generalize the "universal squashing" framework to analyze their system's security. The results suggest that performance should be comparable to upper bounds from the literature, making this protocol a viable alternative to one based on phase-modulated coherent states. | | | | | | Editors' Suggestion A.E.E. Dubois, D.A. Broadway, A. Stark, M.A. Tschudin, A.J. Healey, S.D. Huber, J.-P. Tetienne, E. Greplova, and P. Maletinsky Phys. Rev. Applied 18, 064076 (2022) – Published 26 December 2022 | Magnetic materials are a vital resource in designing energy-efficient information technologies. To try to learn how magnetism develops in ultrathin systems, we measure, but deducing the physics afterward is an ill-posed problem. This study uses neural networks to facilitate the reconstruction of the underlying magnetic textures of thin magnets through measurements of their stray fields. The technique is surprisingly robust to experimental noise, and can reliably reconstruct magnetism in arbitrary directions. Importantly, prior training of the network is not required, and the technique is broadly applicable for solving ill-posed inverse problems when the forward problem is well defined. | | | | | | Editors' Suggestion Peter Breitman, Michael Pukshansky, Anna Zigelman, Ezra Ben Abu, Ofek Peretz, Sefi Givli, and Amir D. Gat Phys. Rev. Applied 18, 064077 (2022) – Published 26 December 2022 | The authors study the interaction between a viscous flow and a one-dimensional mechanical metamaterial composed of bistable unit cells, much like a drinking straw. Their twofold model shows excellent agreement with experimental results. While prior studies have focused on tailoring unit-cell structure to obtain a desired multistable behavior, here the viscous fluid allows tuning of rate-dependent properties and nonlocal interaction between unit cells. The ability to manipulate both structural and nonlocal rate-related properties points to the development of smart materials with tunable kinetic relations, large reversible deformations, and tailored dynamic properties. | | | | | | Editors' Suggestion Yue Meng, Wei Li, and Ruben Juanes Phys. Rev. Applied 18, 064081 (2022) – Published 27 December 2022 | Unraveling the complex behavior of wet granular media has been challenging, because the effective stresses transmitted through the particles have remained unobservable. The authors use their recently developed extension of photoelasticity for coupled fluid-granular systems to image particle stresses during fracture by air injection in an oil-saturated granular pack. They discover two states of the granular medium evolving with the fractures, plus an "effective-stress shadow" behind the propagating fracture tips. This study points out the power of photoporomechanics for studying coupled fluid-solid processes in granular media, including energy recovery, gas venting, and geohazards. | | | | | | Editors' Suggestion Chaitali Joshi, Wenyuan Chen, Henry G. LeDuc, Peter K. Day, and Mohammad Mirhosseini Phys. Rev. Applied 18, 064088 (2022) – Published 28 December 2022 | The kinetic inductance of charge carriers in disordered superconductors provides a broadband low-loss source of nonlinear electromagnetic response. This work investigates TiN nanowires as an alternative to Josephson junctions for applications involving elevated temperatures, higher frequencies, and strong magnetic fields. An extreme nanowire geometry for TiN microwave resonators leads to current-density concentration and enhanced self-Kerr coefficient, yielding a nonlinearity-to-loss ratio as high as 21% and quality factor exceeding 10,000. Such devices may find application in quantum frequency conversion of microwave photons, and with improvement might attain strong quantum nonlinearity. | | | | | | Editors' Suggestion Letter P. Kumar, F. Fabre, A. Durand, T. Clua-Provost, J. Li, J.H. Edgar, N. Rougemaille, J. Coraux, X. Marie, P. Renucci, C. Robert, I. Robert-Philip, B. Gil, G. Cassabois, A. Finco, and V. Jacques Phys. Rev. Applied 18, L061002 (2022) – Published 21 December 2022 | This work bridges research on two-dimensional (2D) materials and quantum sensing technology by demonstrating that optically active spin defects in hexagonal boron nitride can be used for quantitative magnetic field imaging. As proof of concept, the authors image the magnetic field produced by CrTe2, a room-temperature van der Waals ferromagnet. This h-BN-based magnetic sensor offers high flexibility and the ability to be placed in atomic-scale proximity to a target sample, and thus is expected to find numerous applications in 2D materials research by offering a simple means to probe in situ the physics of van der Waals heterostructures. | | | | | | Letter Ziwen Huang, Xinyuan You, Ugur Alyanak, Alexander Romanenko, Anna Grassellino, and Shaojiang Zhu Phys. Rev. Applied 18, L061001 (2022) – Published 2 December 2022 | The understanding and characterization of realistic noise are critical for assessing and reducing errors in qubits, but theoretical studies often overlook the different roles of Gaussian and non-Gaussian noise in reducing qubit coherence. The authors employ two theoretical approaches to inspect such differences in solid-state qubits, and find a symmetry-breaking effect that is unique to non-Gaussian noise and can be detected experimentally. They also propose a protocol that can significantly increase the coherence time. These findings provide simple yet powerful tools for detecting non-Gaussian noise as well as mitigating its detrimental effect on the qubits. | | | | | | Editors' Suggestion Letter P. Kumar, F. Fabre, A. Durand, T. Clua-Provost, J. Li, J.H. Edgar, N. Rougemaille, J. Coraux, X. Marie, P. Renucci, C. Robert, I. Robert-Philip, B. Gil, G. Cassabois, A. Finco, and V. Jacques Phys. Rev. Applied 18, L061002 (2022) – Published 21 December 2022 | This work bridges research on two-dimensional (2D) materials and quantum sensing technology by demonstrating that optically active spin defects in hexagonal boron nitride can be used for quantitative magnetic field imaging. As proof of concept, the authors image the magnetic field produced by CrTe2, a room-temperature van der Waals ferromagnet. This h-BN-based magnetic sensor offers high flexibility and the ability to be placed in atomic-scale proximity to a target sample, and thus is expected to find numerous applications in 2D materials research by offering a simple means to probe in situ the physics of van der Waals heterostructures. | | | | | | Letter Arian Vezvaee, Paul Hilaire, Matthew F. Doty, and Sophia E. Economou Phys. Rev. Applied 18, L061003 (2022) – Published 21 December 2022 | While multiphoton entangled states are the essential building blocks of quantum photonic technologies, large-scale production of such states has proven to be difficult. This study utilizes the unique structure of hole spins in quantum dot molecules to propose an approach that overcomes many of the existing obstacles in the deterministic generation of such states. With high fidelity and production rates that are unmatched among currently available protocols, this proposal seems quite promising as a basis for tomorrow's optical quantum communication hardware. | | | | | | Letter Mikhail Silaev Phys. Rev. Applied 18, L061004 (2022) – Published 27 December 2022 | The dynamic interplay of superconductivity and magnetism is promising for developing quantum magnonics and spintronics. Recent experiments have reported significant, enigmatic shifts of ferromagnetic resonance frequency in layered SFS structures. The author explains that the origin of this effect is spontaneous generation of magnon mass due to the celebrated Anderson-Higgs mechanism, a cornerstone of the Standard Model of particle physics. Upon cooling below the superconducting critical temperature, the magnons acquire a frequency gap and change their propagation direction. This effect enables the creation of magnon resonators, crystals, parametric amplifiers, and other useful devices. | | | | | | Editors' Suggestion Jun Kang and Lin-Wang Wang Phys. Rev. Applied 18, 064001 (2022) – Published 1 December 2022 | Shallow impurities play critical roles in the applications of semiconductor materials, but their simulations through first-principles calculations are challenging due to the delocalized nature of the impurity wave function. The authors propose a first-principles approach to study shallow impurities, which allows simulations of extremely large supercells to obtain converged impurity levels and wave functions. The method is applied to acceptor-carbon complexes in silicon and yields good agreement with experiments. This work thus presents a feasible approach for accurate simulations of shallow impurities and can provide helpful insights to assist experimental dopant engineering. | | | | | | Editors' Suggestion Bas van der Zee, Yungui Li, Gert-Jan A.H. Wetzelaer, and Paul W.M. Blom Phys. Rev. Applied 18, 064002 (2022) – Published 1 December 2022 | Organic light-emitting diodes (OLEDs) based on thermally activated delayed fluorescence (TADF) are alternatives to today's commercial phosphorescent OLEDs with heavy-metal dopants, but their limited stability remains a key issue. This work provides a quantitative insight into the degradation mechanisms. The authors reproduce the voltage and light output using a recently developed device model, and find that triplet-polaron annihilation is the driving force behind the formation of degradation traps. This understanding leads to the experimental demonstration of enhanced device lifetime, and will provide guidance towards improved stability of TADF OLEDs. | | | | | | B.T. Buijtendorp, S. Vollebregt, K. Karatsu, D.J. Thoen, V. Murugesan, K. Kouwenhoven, S. Hähnle, J.J.A. Baselmans, and A. Endo Phys. Rev. Applied 18, 064003 (2022) – Published 1 December 2022 | | | Jeffrey Rable, Benjamin Piazza, Jyotirmay Dwivedi, and Nitin Samarth Phys. Rev. Applied 18, 064004 (2022) – Published 1 December 2022 | | | Lintao Li, William Huie, Neville Chen, Brian DeMarco, and Jacob P. Covey Phys. Rev. Applied 18, 064005 (2022) – Published 2 December 2022 | | | Rui Asaoka, Julio Gea-Banacloche, Yuuki Tokunaga, and Kazuki Koshino Phys. Rev. Applied 18, 064006 (2022) – Published 2 December 2022 | | | Samantha I. Davis, Andrew Mueller, Raju Valivarthi, Nikolai Lauk, Lautaro Narvaez, Boris Korzh, Andrew D. Beyer, Olmo Cerri, Marco Colangelo, Karl K. Berggren, Matthew D. Shaw, Si Xie, Neil Sinclair, and Maria Spiropulu Phys. Rev. Applied 18, 064007 (2022) – Published 2 December 2022 | | | Ya-Feng Jiao, Jing-Xue Liu, Ying Li, Ronghua Yang, Le-Man Kuang, and Hui Jing Phys. Rev. Applied 18, 064008 (2022) – Published 2 December 2022 | | | Yan-Hui Zhou, Xing-Yuan Zhang, Tong Liu, Qi-Cheng Wu, Zhi-Cheng Shi, Hong-Zhi Shen, and Chui-Ping Yang Phys. Rev. Applied 18, 064009 (2022) – Published 5 December 2022 | | | Matias Risaro, Paolo Savio, Marco Pizzocaro, Filippo Levi, Davide Calonico, and Cecilia Clivati Phys. Rev. Applied 18, 064010 (2022) – Published 5 December 2022 | | | B.A. McCullian, H.F.H. Cheung, H.Y. Chen, and G.D. Fuchs Phys. Rev. Applied 18, 064011 (2022) – Published 5 December 2022 | | | Hao Wu, Deniz Turan, Quanjun Pan, Chao-Yao Yang, Guanjie Wu, Seyed Armin Razavi, Bingqian Dai, Nezih Tolga Yardimci, Zhi Huang, Jing Zhang, Yi-Ying Chin, Hong-Ji Lin, Chih-Huang Lai, Zongzhi Zhang, Mona Jarrahi, and Kang L. Wang Phys. Rev. Applied 18, 064012 (2022) – Published 5 December 2022 | | | Matthew D. Biviano, Magnus V. Paludan, Anneline H. Christensen, Emil V. Østergaard, and Kaare H. Jensen Phys. Rev. Applied 18, 064013 (2022) – Published 6 December 2022 | | | Cen Wang, Kuan Wang, Xinyu Wen, Wei Luo, Shiheng Liang, Yue Zhang, and Yuhui He Phys. Rev. Applied 18, 064014 (2022) – Published 6 December 2022 | | | Carsten Richter, Vladimir M. Kaganer, Armelle Even, Amélie Dussaigne, Pierre Ferret, Frédéric Barbier, Yves-Matthieu Le Vaillant, and Tobias U. Schülli Phys. Rev. Applied 18, 064015 (2022) – Published 6 December 2022 | | | Bingzhi Zhang, Jing Wu, Linran Fan, and Quntao Zhuang Phys. Rev. Applied 18, 064016 (2022) – Published 6 December 2022 | | | Zhiguo Wang, Chunchun Li, Hongyuan Xie, Zhen Zhang, Wenbin Huang, Shanming Ke, and Longlong Shu Phys. Rev. Applied 18, 064017 (2022) – Published 7 December 2022 | | | Rafał Korlacki, Matthew Hilfiker, Jenna Knudtson, Megan Stokey, Ufuk Kilic, Akhil Mauze, Yuewei Zhang, James Speck, Vanya Darakchieva, and Mathias Schubert Phys. Rev. Applied 18, 064019 (2022) – Published 7 December 2022 | | | Ke Yin, Yuangen Huang, Wenjing Yin, Xianglin Hao, Xikui Ma, and Tianyu Dong Phys. Rev. Applied 18, 064020 (2022) – Published 7 December 2022 | | | Editors' Suggestion Jake Horder, Simon J.U. White, Angus Gale, Chi Li, Kenji Watanabe, Takashi Taniguchi, Mehran Kianinia, Igor Aharonovich, and Milos Toth Phys. Rev. Applied 18, 064021 (2022) – Published 8 December 2022 | Lattice defects in two-dimensional materials are compelling sources of single photons for applications in quantum information processing. However, the range of emission wavelengths is broad, the defect types vary and the atomic structures of most are unknown, and the inability to fabricate defects systematically on demand has limited progress. This work leverages a robust, site-specific fabrication technique to produce arrays of blue quantum emitters for study via cryogenic spectroscopy. The authors characterize processes that limit emitter coherence and observe Rabi oscillations, demonstrating the potential of these defects for scalable quantum technologies. | | | | | | Aditya Dash, Dorothea Scheunemann, and Martijn Kemerink Phys. Rev. Applied 18, 064022 (2022) – Published 8 December 2022 | | | Shunsuke Nishimura, Kohei M. Itoh, Junko Ishi-Hayase, Kento Sasaki, and Kensuke Kobayashi Phys. Rev. Applied 18, 064023 (2022) – Published 8 December 2022 | | | Yan Wang, Matteo Piccolini, Ze-Yan Hao, Zheng-Hao Liu, Kai Sun, Jin-Shi Xu, Chuan-Feng Li, Guang-Can Guo, Roberto Morandotti, Giuseppe Compagno, and Rosario Lo Franco Phys. Rev. Applied 18, 064024 (2022) – Published 8 December 2022 | | | Yun Shen, Jie Ji, Hui-Chang Li, Le Zhang, Xin Yu, Shu-Bin Yan, Mattias Rasmussen, Qian Shen, Daena Madhi, Bin-Bin Zhou, Peter Uhd Jepsen, and Xiao-Hua Deng Phys. Rev. Applied 18, 064025 (2022) – Published 9 December 2022 | | | J.S. Harms, H.Y. Yuan, and Rembert A. Duine Phys. Rev. Applied 18, 064026 (2022) – Published 9 December 2022 | | | Shiyuan Zhao and Frédéric Grillot Phys. Rev. Applied 18, 064027 (2022) – Published 9 December 2022 | | | A.R. Mills, C.R. Guinn, M.M. Feldman, A.J. Sigillito, M.J. Gullans, M.T. Rakher, J. Kerckhoff, C.A.C. Jackson, and J.R. Petta Phys. Rev. Applied 18, 064028 (2022) – Published 12 December 2022 | | | Zihao Su, Hao Luo, Siyuan Gao, Zhitao Luo, Yifan Zhu, and Hui Zhang Phys. Rev. Applied 18, 064029 (2022) – Published 12 December 2022 | | | Jacob J. Cordell, Moira K. Miller, M. Brooks Tellekamp, Adele Tamboli, Garritt J. Tucker, and Stephan Lany Phys. Rev. Applied 18, 064030 (2022) – Published 12 December 2022 | | | Gerald Q. Yan, Senlei Li, Tatsuya Yamamoto, Mengqi Huang, Nathan J. Mclaughlin, Takayuki Nozaki, Hailong Wang, Shinji Yuasa, and Chunhui Rita Du Phys. Rev. Applied 18, 064031 (2022) – Published 12 December 2022 | | | Xiong Deng, Ximin Tian, Lirong Ren, Jiangtao Liu, and Zhi-Yuan Li Phys. Rev. Applied 18, 064032 (2022) – Published 12 December 2022 | | | S. Kanhirathingal, B. Thyagarajan, B.L. Brock, Juliang Li, E. Jeffrey, M.P. Blencowe, J.Y. Mutus, and A.J. Rimberg Phys. Rev. Applied 18, 064033 (2022) – Published 13 December 2022 | | | Ming-Hung Wu, I-Ting Wang, Ming-Chun Hong, Kuan-Ming Chen, Yuan-Chieh Tseng, Jeng-Hua Wei, and Tuo-Hung Hou Phys. Rev. Applied 18, 064034 (2022) – Published 13 December 2022 | | | Richard Bing-Shiun Tsai, Henrique Silvério, and Loc Henriet Phys. Rev. Applied 18, 064035 (2022) – Published 13 December 2022 | | | Wei Feng, Guo-Qiang Zhang, Qi-Ping Su, Jun-Xiang Zhang, and Chui-Ping Yang Phys. Rev. Applied 18, 064036 (2022) – Published 13 December 2022 | | | Stephen P. Fluckey, Sabyasachi Tiwari, Christopher L. Hinkle, and William G. Vandenberghe Phys. Rev. Applied 18, 064037 (2022) – Published 13 December 2022 | | | Zheheng Xu and David Burghoff Phys. Rev. Applied 18, 064038 (2022) – Published 14 December 2022 | | | Hodaka Kurokawa, Moyuki Yamamoto, Yuhei Sekiguchi, and Hideo Kosaka Phys. Rev. Applied 18, 064039 (2022) – Published 14 December 2022 | | | Editors' Suggestion Anasua Chatterjee, Fabio Ansaloni, Torbjørn Rasmussen, Bertram Brovang, Federico Fedele, Heorhii Bohuslavskyi, Oswin Krause, and Ferdinand Kuemmeth Phys. Rev. Applied 18, 064040 (2022) – Published 14 December 2022 | In spin-based quantum processors, each quantum dot of a qubit is populated by exactly one electron, which requires careful tuning of each gate voltage such that it lies inside the charge-stability region (the "Coulomb diamond") associated with the dot array. However, mapping the boundary of a multidimensional Coulomb diamond by traditional dense raster scanning would take years, so the authors develop a sparse acquisition technique that autonomously learns Coulomb-diamond boundaries from a small number of measurements. Here we have hardware-triggered line searches in the gate-voltage space of a silicon quadruple dot, with smart search directions proposed by an active-learning algorithm. | | | | | | Arkady Kurnosov, Lucas J. Fernández-Alcázar, Raúl Bustos-Marún, and Tsampikos Kottos Phys. Rev. Applied 18, 064041 (2022) – Published 14 December 2022 | | | Kin On Ho, Man Yin Leung, P. Reddy, Jianyu Xie, King Cho Wong, Yaxin Jiang, Wei Zhang, King Yau Yip, Wai Kuen Leung, Yiu Yung Pang, King Yiu Yu, Swee K. Goh, M.W. Doherty, and Sen Yang Phys. Rev. Applied 18, 064042 (2022) – Published 14 December 2022 | | | Pauline Rovillain, Jean-Yves Duquesne, Louis Christienne, Mahmoud Eddrief, Maria Gloria Pini, Angelo Rettori, Silvia Tacchi, and Massimiliano Marangolo Phys. Rev. Applied 18, 064043 (2022) – Published 15 December 2022 | | | Michiel Burgelman, Pierre Rouchon, Alain Sarlette, and Mazyar Mirrahimi Phys. Rev. Applied 18, 064044 (2022) – Published 15 December 2022 | | | Yuntao Xu, Wei Fu, Yiyu Zhou, Mingrui Xu, Mohan Shen, Ayed Al Sayem, and Hong X. Tang Phys. Rev. Applied 18, 064045 (2022) – Published 15 December 2022 | | | Rutian Huang, Xiao Geng, Xinyu Wu, Genting Dai, Liangliang Yang, Jianshe Liu, and Wei Chen Phys. Rev. Applied 18, 064046 (2022) – Published 15 December 2022 | | | Jin Chen, Guangyuan Su, Shaohang Xu, Mingji Chen, Yongquan Liu, Daining Fang, and Ji Zhou Phys. Rev. Applied 18, 064047 (2022) – Published 15 December 2022 | | | Antonio Martí, Elisa Antolín, and Iñigo Ramiro Phys. Rev. Applied 18, 064048 (2022) – Published 16 December 2022 | | | Navdeep Rana, M. S. Mrudul, and Gopal Dixit Phys. Rev. Applied 18, 064049 (2022) – Published 16 December 2022 | | | Yahui Ji, Chenye Zhang, and Tianxiang Nan Phys. Rev. Applied 18, 064050 (2022) – Published 16 December 2022 | | | Luca Erhart, Kosuke Mitarai, Wataru Mizukami, and Keisuke Fujii Phys. Rev. Applied 18, 064051 (2022) – Published 16 December 2022 | | | Lijun Zhu, Jingwei Li, Lujun Zhu, and Xinyue Xie Phys. Rev. Applied 18, 064052 (2022) – Published 16 December 2022 | | | Editors' Suggestion Emilien Lavie and Charles C.-W. Lim Phys. Rev. Applied 18, 064053 (2022) – Published 19 December 2022 | Coherent one-way quantum key distribution (COW-QKD) is a popular cryptography protocol, due to its fairly simple implementation and passive measurement device. Its security analysis is challenging, though, and extra assumptions or modifications are typically employed. Here the authors propose minor modifications to COW-QKD's prepared states while retaining the original, fully passive measurement device, and generalize the "universal squashing" framework to analyze their system's security. The results suggest that performance should be comparable to upper bounds from the literature, making this protocol a viable alternative to one based on phase-modulated coherent states. | | | | | | Feihu Wang, Xiaoqiong Qi, Valentino Pistore, Lianhe Li, Gary Agnew, Edmund Linfield, Giles Davies, Jérôme Tignon, Juliette Mangeney, Aleksandar D. Rakić, and Sukhdeep S. Dhillon Phys. Rev. Applied 18, 064054 (2022) – Published 19 December 2022 | | | Jinbo Yuan, Linlin Geng, Jiahui Huang, Qiuquan Guo, Jun Yang, Gengkai Hu, and Xiaoming Zhou Phys. Rev. Applied 18, 064055 (2022) – Published 19 December 2022 | | | Gabriel O. Samach, Ami Greene, Johannes Borregaard, Matthias Christandl, Joseph Barreto, David K. Kim, Christopher M. McNally, Alexander Melville, Bethany M. Niedzielski, Youngkyu Sung, Danna Rosenberg, Mollie E. Schwartz, Jonilyn L. Yoder, Terry P. Orlando, Joel I-Jan Wang, Simon Gustavsson, Morten Kjaergaard, and William D. Oliver Phys. Rev. Applied 18, 064056 (2022) – Published 19 December 2022 | | | Ao Chen, Xiaoguang Zhao, Zhiwei Yang, Stephan Anderson, and Xin Zhang Phys. Rev. Applied 18, 064057 (2022) – Published 19 December 2022 | | | Lezheng Fang and Michael J. Leamy Phys. Rev. Applied 18, 064058 (2022) – Published 20 December 2022 | | | Ye-Hong Chen, Adam Miranowicz, Xi Chen, Yan Xia, and Franco Nori Phys. Rev. Applied 18, 064059 (2022) – Published 20 December 2022 | | | Zhiyuan Ye, Wanting Hou, Jilun Zhao, Hai-Bo Wang, and Jun Xiong Phys. Rev. Applied 18, 064060 (2022) – Published 20 December 2022 | | | Anna Rupp, Jonas Göser, Zhijie Li, Philipp Altpeter, Ismail Bilgin, and Alexander Högele Phys. Rev. Applied 18, 064061 (2022) – Published 20 December 2022 | | | T. Chang, I. Holzman, T. Cohen, B. C. Johnson, D. N. Jamieson, and M. Stern Phys. Rev. Applied 18, 064062 (2022) – Published 20 December 2022 | | | Dmitrii Khokhriakov, Shehrin Sayed, Anamul Md. Hoque, Bogdan Karpiak, Bing Zhao, Supriyo Datta, and Saroj P. Dash Phys. Rev. Applied 18, 064063 (2022) – Published 21 December 2022 | | | Jinjie Shi, Chenkai Liu, Chang Guo, Hongchen Chu, Xiaozhou Liu, Johan Christensen, and Yun Lai Phys. Rev. Applied 18, 064064 (2022) – Published 21 December 2022 | | | Tian Yang, Zibin Lin, Xuefeng Zhu, and Tianzhi Yang Phys. Rev. Applied 18, 064065 (2022) – Published 21 December 2022 | | | Feng Li, Robert J. Davis, Sara M. Kandil, and Daniel F. Sievenpiper Phys. Rev. Applied 18, 064066 (2022) – Published 22 December 2022 | | | Tingwei Li, Peng-Hu Du, Ling Bai, Qiang Sun, and Puru Jena Phys. Rev. Applied 18, 064067 (2022) – Published 22 December 2022 | | | Valeria Rodríguez-Fajardo and Andrew Forbes Phys. Rev. Applied 18, 064068 (2022) – Published 22 December 2022 | | | Francesco Tani, Jacob Lampen, Martin Butryn, Michael H. Frosz, Jie Jiang, Martin E. Fermann, and Philip St.J. Russell Phys. Rev. Applied 18, 064069 (2022) – Published 22 December 2022 | | | Stefan Meinecke and Kathy Lüdge Phys. Rev. Applied 18, 064070 (2022) – Published 22 December 2022 | | | Shoichi Sato, Masaaki Tanaka, and Ryosho Nakane Phys. Rev. Applied 18, 064071 (2022) – Published 23 December 2022 | | | Sougata Mallick, Sujit Panigrahy, Gajanan Pradhan, and Stanislas Rohart Phys. Rev. Applied 18, 064072 (2022) – Published 23 December 2022 | | | Yan Meng, Yiran Hao, Liyou Luo, and Jensen Li Phys. Rev. Applied 18, 064073 (2022) – Published 23 December 2022 | | | Claudio Bonizzoni, Mirco Tincani, Fabio Santanni, and Marco Affronte Phys. Rev. Applied 18, 064074 (2022) – Published 23 December 2022 | | | Jianqing Li, Pengyu Zhao, and Yongmao Pei Phys. Rev. Applied 18, 064075 (2022) – Published 23 December 2022 | | | Editors' Suggestion A.E.E. Dubois, D.A. Broadway, A. Stark, M.A. Tschudin, A.J. Healey, S.D. Huber, J.-P. Tetienne, E. Greplova, and P. Maletinsky Phys. Rev. Applied 18, 064076 (2022) – Published 26 December 2022 | Magnetic materials are a vital resource in designing energy-efficient information technologies. To try to learn how magnetism develops in ultrathin systems, we measure, but deducing the physics afterward is an ill-posed problem. This study uses neural networks to facilitate the reconstruction of the underlying magnetic textures of thin magnets through measurements of their stray fields. The technique is surprisingly robust to experimental noise, and can reliably reconstruct magnetism in arbitrary directions. Importantly, prior training of the network is not required, and the technique is broadly applicable for solving ill-posed inverse problems when the forward problem is well defined. | | | | | | Editors' Suggestion Peter Breitman, Michael Pukshansky, Anna Zigelman, Ezra Ben Abu, Ofek Peretz, Sefi Givli, and Amir D. Gat Phys. Rev. Applied 18, 064077 (2022) – Published 26 December 2022 | The authors study the interaction between a viscous flow and a one-dimensional mechanical metamaterial composed of bistable unit cells, much like a drinking straw. Their twofold model shows excellent agreement with experimental results. While prior studies have focused on tailoring unit-cell structure to obtain a desired multistable behavior, here the viscous fluid allows tuning of rate-dependent properties and nonlocal interaction between unit cells. The ability to manipulate both structural and nonlocal rate-related properties points to the development of smart materials with tunable kinetic relations, large reversible deformations, and tailored dynamic properties. | | | | | | William N. Bodé, Fabian Lickert, Per Augustsson, and Henrik Bruus Phys. Rev. Applied 18, 064078 (2022) – Published 26 December 2022 | | | Qingyang Mo, Yeyang Sun, Junkai Li, Zhichao Ruan, and Zhaoju Yang Phys. Rev. Applied 18, 064079 (2022) – Published 26 December 2022 | | | Wyatt Adams, Anindya Ghoshroy, and Durdu Ö. Güney Phys. Rev. Applied 18, 064080 (2022) – Published 26 December 2022 | | | Editors' Suggestion Yue Meng, Wei Li, and Ruben Juanes Phys. Rev. Applied 18, 064081 (2022) – Published 27 December 2022 | Unraveling the complex behavior of wet granular media has been challenging, because the effective stresses transmitted through the particles have remained unobservable. The authors use their recently developed extension of photoelasticity for coupled fluid-granular systems to image particle stresses during fracture by air injection in an oil-saturated granular pack. They discover two states of the granular medium evolving with the fractures, plus an "effective-stress shadow" behind the propagating fracture tips. This study points out the power of photoporomechanics for studying coupled fluid-solid processes in granular media, including energy recovery, gas venting, and geohazards. | | | | | | Vitalii Mikheev, Ekaterina Kondratyuk, and Anastasia Chouprik Phys. Rev. Applied 18, 064084 (2022) – Published 27 December 2022 | | | Song Zhang, Hao Xue, Shihao Zhao, Jiaqi Han, Long Li, and Tie Jun Cui Phys. Rev. Applied 18, 064085 (2022) – Published 28 December 2022 | | | Wen Dang, Mengyu Zhu, Ziye Zhu, Xiaofang Chen, Zhigang Song, and Jingshan Qi Phys. Rev. Applied 18, 064086 (2022) – Published 28 December 2022 | | | Nicolae Filipoiu, Amanda Teodora Preda, Dragos-Victor Anghel, Roxana Patru, Rachel Elizabeth Brophy, Movaffaq Kateb, Cristina Besleaga, Andrei Gabriel Tomulescu, Ioana Pintilie, Andrei Manolescu, and George Alexandru Nemnes Phys. Rev. Applied 18, 064087 (2022) – Published 28 December 2022 | | | Editors' Suggestion Chaitali Joshi, Wenyuan Chen, Henry G. LeDuc, Peter K. Day, and Mohammad Mirhosseini Phys. Rev. Applied 18, 064088 (2022) – Published 28 December 2022 | The kinetic inductance of charge carriers in disordered superconductors provides a broadband low-loss source of nonlinear electromagnetic response. This work investigates TiN nanowires as an alternative to Josephson junctions for applications involving elevated temperatures, higher frequencies, and strong magnetic fields. An extreme nanowire geometry for TiN microwave resonators leads to current-density concentration and enhanced self-Kerr coefficient, yielding a nonlinearity-to-loss ratio as high as 21% and quality factor exceeding 10,000. Such devices may find application in quantum frequency conversion of microwave photons, and with improvement might attain strong quantum nonlinearity. | | | | | | Langlang Xiong, Yu Zhang, Yufu Liu, Yaoxian Zheng, and Xunya Jiang Phys. Rev. Applied 18, 064089 (2022) – Published 29 December 2022 | | | Yi Hua Chang and Sandra M. Troian Phys. Rev. Applied 18, 064090 (2022) – Published 29 December 2022 | | | X. F. Shen, A. Pukhov, O. N. Rosmej, and N. E. Andreev Phys. Rev. Applied 18, 064091 (2022) – Published 29 December 2022 | | | G. Liu, X. Cao, T.-C. Chien, C. Zhou, P. Lu, and M. Hatridge Phys. Rev. Applied 18, 064092 (2022) – Published 29 December 2022 | | | A.A. Martyshkin, C.S. Davies, and A.V. Sadovnikov Phys. Rev. Applied 18, 064093 (2022) – Published 30 December 2022 | | | Peng Zhang, Han Jia, Jiuyang Lu, Xinghang Yang, Suhao Wang, Xiangyuan Xu, Yuzhen Yang, Zhengyou Liu, and Jun Yang Phys. Rev. Applied 18, 064094 (2022) – Published 30 December 2022 | | | Zhen Guo Ban, Yan Shi, Ning Qian Huang, Long Li, Xue Guang Lu, Hong Fu Zhu, Qi Wu Shi, Wan Xia Huang, and Tie Jun Cui Phys. Rev. Applied 18, 064095 (2022) – Published 30 December 2022 | | | Zhiqiang Wang, Qi Jiang, Nithyanandan Kanagaraj, Benli Yu, and Zuxing Zhang Phys. Rev. Applied 18, 064096 (2022) – Published 30 December 2022 | | | S. van den Wildenberg, X. Jia, J.L. Gennisson, and A. Tourin Phys. Rev. Applied 18, 064097 (2022) – Published 30 December 2022 | | | Wenqiang Wang, Qingwei Fu, Kaiyuan Zhou, Lina Chen, Liupeng Yang, Zishuang Li, Zui Tao, Chunjie Yan, Like Liang, Xiang Zhan, Youwei Du, and Ronghua Liu Phys. Rev. Applied 18, 069901 (2022) – Published 9 December 2022 | | | | |
No comments:
Post a Comment