Kerem Y. Camsari and Supriyo Datta
Phys. Rev. Applied 23, 030001 (2025) - Published 14 March, 2025
Guest Editors Kerem Camsari and Supriyo Datta introduce a collection of papers in Physical Review Applied on physics-inspired computing, a field that is rapidly evolving.
Saravanan Sengottuvel, Omkar Dhungel, Mariusz Mrózek, Arne Wickenbrock, Dmitry Budker, Wojciech Gawlik, and Adam M. Wojciechowski
Phys. Rev. Applied 23, 034001 (2025) - Published 3 March, 2025
Magnetometry using nitrogen-vacancy (N-) color centers in diamond is a powerful technique with significant potential in biomedical imaging, materials science, and condensed matter physics. Commonly, though, the method relies on microwave spectroscopy, which can interfere with biological systems and thin conductive samples. This study addresses that limitation by exploiting the zero-field cross-relaxation feature of N- centers in nanodiamonds under ambient conditions, demonstrating a wide-field, microwave-free imaging magnetometer. This approach can achieve sensitivities suitable for practical applications where traditional microwave-based techniques are unsuitable.
Heleni Krelman, Ori Nefesh, Kfir Levi, Douglas G. Bopp, Songbai Kang, John E. Kitching, and Liron Stern
Phys. Rev. Applied 23, 034011 (2025) - Published 6 March, 2025
Offset stabilization of a laser’s frequency relative to an atomic transition is crucial for many quantum technologies, but equipment for it is often bulky or dependent on magnetic fields, limiting integration into compact systems. Exploiting the interference properties of atoms geometrically confined within diffractive optical elements, this study presents a chip-scale, hybrid atomic-photonic approach that enables multiple stabilization points with submegahertz precision over a bandwidth of tens of gigahertz. This miniaturization, with no need for magnetic fields, points to the next generation of compact laser-stabilization devices for quantum applications and precision spectroscopy.
Yanjun Ji, Xi Chen, Ilia Polian, and Yue Ban
Phys. Rev. Applied 23, 034022 (2025) - Published 11 March, 2025
Variational algorithms are among the first practical applications of quantum computing, but their performance is limited by today’s noisy intermediate-scale quantum (NISQ) devices. The authors propose scalable, depth-optimal solutions to overcome these limitations by integrating optimal mapping algorithms applied to small submodules of a given NISQ computer (focusing on popular linear and T- and H-shaped subtopologies). Identification of the best qubits combined with postselection keeps the error rate in check. The team reports up to 82% reduction in circuit depth and an average of 138% better success probability, thus paving the way for reliable quantum computing ecosystems of tomorrow.
Kristýna Davídková, Khrystyna Levchenko, Florian Bruckner, Roman Verba, Fabian Majcen, Qi Wang, Morris Lindner, Carsten Dubs, Vincent Vlaminck, Jan Klíma, Michal Urbánek, Dieter Suess, and Andrii Chumak
Phys. Rev. Applied 23, 034026 (2025) - Published 13 March, 2025
Power limiters are essential in rf communication systems, to protect the input channels from strong signals. Today’s semiconductor limiters suffer from high electronic noise and switching delays when approaching the gigahertz range, which is crucial for modern 5G communication technologies. The proposed solution is to use ferrite-based frequency-selective limiters (FSLs) that maintain their efficiency at such frequencies, and the authors provide proof of concept for nanoscale FSLs based on spin-wave transmission affected by four-magnon scattering. This technology could be utilized in various applications including Wi-Fi, GPS, the IoT, and communication links for self-driving vehicles.
H.P. Bartling, J. Yun, K.N. Schymik, M. van Riggelen, L.A. Enthoven, H.B. van Ommen, M. Babaie, F. Sebastiano, M. Markham, D.J. Twitchen, and T.H. Taminiau
Phys. Rev. Applied 23, 034052 (2025) - Published 21 March, 2025
Spins associated with color centers are promising qubits for quantum computation and quantum networks. One of the key challenges toward larger-scale systems is to improve the quality of gate operations. This study realizes a complete set of high-quality gates for the two-qubit system formed by the nitrogen-vacancy center in diamond, using gate designs that protect the qubits from unwanted interactions. These gates are characterized by gate-set tomography, and demonstrate high fidelities for both single- and two-qubit gates. These methods provide opportunities to realize high-quality gates for a variety of color centers in various materials, including diamond, silicon carbide, and silicon.
Jason Saied, Jeffrey Marshall, Namit Anand, and Eleanor G. Rieffel
Phys. Rev. Applied 23, 034079 (2025) - Published 26 March, 2025
Fault-tolerant linear optical quantum computation relies on interference between identical photons to generate entanglement. Unfortunately, photons in the lab tend to be partially distinguishable, generating less entanglement and causing unheralded errors. The authors introduce families of distillation schemes that use n-photon interference and postselection to filter out “bad” photons and reduce distinguishability by a factor of n, with resource costs scaling only linearly in n. Along the way, the team also resolves an open problem regarding n-mode Fourier interferometers, namely that the Zero Transmission Law characterizes all suppression if and only if n is a prime power.
Qian-Hao Guo, Yang Zhang, Xiao-Huan Wan, and Li-Yang Zheng
Phys. Rev. Applied 23, L031001 (2025) - Published 17 March, 2025
The trimer Su-Schrieffer-Heeger (SSH3) lattice has attracted considerable attention due to its unique physical properties and rich phase diagram. However, the key symmetry responsible for the emergence of topological phases remains unclear. This study introduces an isospectral reduction model of the SSH3 lattice, revealing a bulk-edge correspondence enforced by hidden inversion symmetry. These findings provide a new strategy for exploring topological properties in systems beyond the tenfold way classification, while also paving the way for practical applications such as entangled-state transmission, controllable topological edge states, and enhanced pumping.
Andrew R. Ferdinand, Zheng Luo, Sindhu Jammi, Zachary Newman, Grisha Spektor, Okan Koksal, Parth B. Patel, Daniel Sheredy, William Lunden, Akash Rakholia, Travis C. Briles, Wenqi Zhu, Martin M. Boyd, Amit Agrawal, and Scott B. Papp
Phys. Rev. Applied 23, L031002 (2025) - Published 21 March, 2025
Optical lattice clocks generate pristine timing signals, which advance understanding of physics and open new application opportunities. However, the existing experimental apparatus for such clocks consists of numerous complicated subsystems, and are laborious to assemble. This Letter demonstrates the use of integrated photonics technologies to generate the free-space optical configuration needed to laser cool and trap atomic samples for a lattice clock and to create a frequency-comb supercontinuum to stabilize the lasers for the lattice clock. The authors assemble integrated photonics devices without active alignment, highlighting the potential for scalability in lattice-clock systems.
M.M. Subedi, K. Deng, Y. Xiong, J. Mongeon, M.T. Hossain, P.B. Meisenheimer, E.T. Zhou, J.T. Heron, M.B. Jungfleisch, W. Zhang, B. Flebus, and J. Sklenar
Phys. Rev. Applied 23, L031003 (2025) - Published 24 March, 2025
Synthetic antiferromagnets are tunable metamaterials that offer a fertile platform for investigating interactions between optical and acoustic magnons, which can be exploited to engineer the magnon energy spectrum. This study examines how dynamic interlayer spin pumping within synthetic antiferromagnets can hybridize acoustic and optical magnons. To interpret the experimental results, the Landau-Lifshitz-Gilbert theory is extended to describe the fieldlike and dampinglike torques in a generic noncollinear magnetic multilayer. These findings provide the hybrid-magnonics community with a fresh approach to engineering and modeling magnon-magnon interactions in antiferromagnets.
Saravanan Sengottuvel, Omkar Dhungel, Mariusz Mrózek, Arne Wickenbrock, Dmitry Budker, Wojciech Gawlik, and Adam M. Wojciechowski
Phys. Rev. Applied 23, 034001 (2025) - Published 3 March, 2025
Magnetometry using nitrogen-vacancy (N-) color centers in diamond is a powerful technique with significant potential in biomedical imaging, materials science, and condensed matter physics. Commonly, though, the method relies on microwave spectroscopy, which can interfere with biological systems and thin conductive samples. This study addresses that limitation by exploiting the zero-field cross-relaxation feature of N- centers in nanodiamonds under ambient conditions, demonstrating a wide-field, microwave-free imaging magnetometer. This approach can achieve sensitivities suitable for practical applications where traditional microwave-based techniques are unsuitable.
Tanay Tak, Yi Chao Chow, Shuji Nakamura, Steven P. DenBaars, Claude Weisbuch, and James S. Speck
Phys. Rev. Applied 23, 034002 (2025) - Published 3 March, 2025
Li Chen (陈立), Zhangchen Hou (侯张晨), Yawei Li (李亚巍), Liyan Shang (商丽燕), Liangqing Zhu (朱亮清), Jinzhong Zhang (张金中), Shijing Gong (龚士静), Zongrui Xu (许宗睿), Zhiyi Zhang (张芷溢), Linsheng Wu (吴林晟), and Zhigao Hu (胡志高)
Phys. Rev. Applied 23, 034003 (2025) - Published 3 March, 2025
A. Zingale, S. Waczynski, I. Pogorelsky, M. Polyanskiy, J. Sears, R.E. Lakis, and H.M. Milchberg
Phys. Rev. Applied 23, 034004 (2025) - Published 4 March, 2025
Fan Zhang, Yu Wang, Yueqiang Hu, Mingquan Zhang, and Baotong Li
Phys. Rev. Applied 23, 034005 (2025) - Published 4 March, 2025
Yuan Liu, Jingjing Zhao, Sein Chung, Yexiao Huang, Zhenmin Zhao, Jeonggye Lee, Hyukgu Yun, Xiaoge Huang, Safakath Karuthedath, Kilwon Cho, and Zhipeng Kan
Phys. Rev. Applied 23, 034006 (2025) - Published 4 March, 2025
Bikash C. Barik, Himadri Chakraborti, Buddhadeb Pal, Aditya K. Jain, Swagata Bhunia, Sounak Samanta, Apurba Laha, Suddhasatta Mahapatra, and K. Das Gupta
Phys. Rev. Applied 23, 034007 (2025) - Published 5 March, 2025
Yifan Wang, Wenzhe Zhang, Haotian Chai, Zhenlin Zhang, Shaochun Lin, Xi Qin, and Jiangfeng Du
Phys. Rev. Applied 23, 034008 (2025) - Published 5 March, 2025
Ewa Rej, Richa Cutting, Joe Depellette, Debopam Datta, Nils Tiencken, Joonas Govenius, Visa Vesterinen, Yulong Liu, and Mika A. Sillanpää
Phys. Rev. Applied 23, 034009 (2025) - Published 5 March, 2025
K. Murali and Sudeshna Sinha
Phys. Rev. Applied 23, 034010 (2025) - Published 5 March, 2025
Heleni Krelman, Ori Nefesh, Kfir Levi, Douglas G. Bopp, Songbai Kang, John E. Kitching, and Liron Stern
Phys. Rev. Applied 23, 034011 (2025) - Published 6 March, 2025
Offset stabilization of a laser’s frequency relative to an atomic transition is crucial for many quantum technologies, but equipment for it is often bulky or dependent on magnetic fields, limiting integration into compact systems. Exploiting the interference properties of atoms geometrically confined within diffractive optical elements, this study presents a chip-scale, hybrid atomic-photonic approach that enables multiple stabilization points with submegahertz precision over a bandwidth of tens of gigahertz. This miniaturization, with no need for magnetic fields, points to the next generation of compact laser-stabilization devices for quantum applications and precision spectroscopy.
Zuo Feng, Wenxuan Wang, Yilong You, Yifei Chen, Kenji Watanabe, Takashi Taniguchi, Chang Liu, Kaihui Liu, and Xiaobo Lu
Phys. Rev. Applied 23, 034012 (2025) - Published 6 March, 2025
Yu-Yuan Chen, Jia-Heng Wang, Lu Ning Song, and Yu-xi Liu
Phys. Rev. Applied 23, 034013 (2025) - Published 7 March, 2025
Noah Kaufmann, Ivan Rojkov, and Florentin Reiter
Phys. Rev. Applied 23, 034014 (2025) - Published 7 March, 2025
Chongwu Xie, Kang-Da Wu, Chang-Ling Zou, Wei Yi, Xinkun Li, Chuan-Feng Li, Guang-Can Guo, and Guo-Yong Xiang
Phys. Rev. Applied 23, 034015 (2025) - Published 7 March, 2025
Hirofumi Nishi, Yuki Takei, Taichi Kosugi, Shunsuke Mieda, Yutaka Natsume, Takeshi Aoyagi, and Yu-ichiro Matsushita
Phys. Rev. Applied 23, 034016 (2025) - Published 10 March, 2025
Maximilian Tippmann, Erik Fitzke, Oleg Nikiforov, Philipp Kleinpaß, Till Dolejsky, Maximilian Mengler, and Thomas Walther
Phys. Rev. Applied 23, 034017 (2025) - Published 10 March, 2025
Hangbo Shi, Xiaomin Qin, Haijun Chen, Yufei Yan, Ziqi Lu, Zhiyang Wang, Zijie Liu, Xiaolei Guan, Qiang Wei, Tiantian Shi, and Jingbiao Chen
Phys. Rev. Applied 23, 034018 (2025) - Published 10 March, 2025
Marco Nardone, Sakshi Gupta, Eva Mulloy, Steve Johnston, Eric Colegrove, Joel N. Duenow, Brian Good, Craig L. Perkins, Darius Kuciauskas, and Matthew O. Reese
Phys. Rev. Applied 23, 034019 (2025) - Published 10 March, 2025
Yue-Yang Liu, Haoran Lu, Zirui Wang, Lang Zeng, Hui-Xiong Deng, Zhongming Wei, Lin-Wang Wang, Jun-Wei Luo, and Runsheng Wang
Phys. Rev. Applied 23, 034020 (2025) - Published 11 March, 2025
Aurelien Mordret and Adolfo G. Grushin
Phys. Rev. Applied 23, 034021 (2025) - Published 11 March, 2025
Yanjun Ji, Xi Chen, Ilia Polian, and Yue Ban
Phys. Rev. Applied 23, 034022 (2025) - Published 11 March, 2025
Variational algorithms are among the first practical applications of quantum computing, but their performance is limited by today’s noisy intermediate-scale quantum (NISQ) devices. The authors propose scalable, depth-optimal solutions to overcome these limitations by integrating optimal mapping algorithms applied to small submodules of a given NISQ computer (focusing on popular linear and T- and H-shaped subtopologies). Identification of the best qubits combined with postselection keeps the error rate in check. The team reports up to 82% reduction in circuit depth and an average of 138% better success probability, thus paving the way for reliable quantum computing ecosystems of tomorrow.
Julien Legendre and Pierre-Olivier Chapuis
Phys. Rev. Applied 23, 034023 (2025) - Published 12 March, 2025
Julian M. Bopp, Hauke Conradi, Felipe Perona, Anil Palaci, Jonas Wollenberg, Thomas Flisgen, Armin Liero, Heike Christopher, Norbert Keil, Wolfgang Knolle, Andrea Knigge, Wolfgang Heinrich, Moritz Kleinert, and Tim Schröder
Phys. Rev. Applied 23, 034024 (2025) - Published 12 March, 2025
Teun A.J. van Schijndel, Anthony P. McFadden, Aaron N. Engel, Jason T. Dong, Wilson J. Yánez-Parreño, Manisha Parthasarathy, Raymond W. Simmonds, and Christopher J. Palmstrøm
Phys. Rev. Applied 23, 034025 (2025) - Published 12 March, 2025
Kristýna Davídková, Khrystyna Levchenko, Florian Bruckner, Roman Verba, Fabian Majcen, Qi Wang, Morris Lindner, Carsten Dubs, Vincent Vlaminck, Jan Klíma, Michal Urbánek, Dieter Suess, and Andrii Chumak
Phys. Rev. Applied 23, 034026 (2025) - Published 13 March, 2025
Power limiters are essential in rf communication systems, to protect the input channels from strong signals. Today’s semiconductor limiters suffer from high electronic noise and switching delays when approaching the gigahertz range, which is crucial for modern 5G communication technologies. The proposed solution is to use ferrite-based frequency-selective limiters (FSLs) that maintain their efficiency at such frequencies, and the authors provide proof of concept for nanoscale FSLs based on spin-wave transmission affected by four-magnon scattering. This technology could be utilized in various applications including Wi-Fi, GPS, the IoT, and communication links for self-driving vehicles.
Hongbin Zhang, Zhaoxuan Wu, Yu Chen, Lizhao Su, and Shuoqi Sun
Phys. Rev. Applied 23, 034027 (2025) - Published 13 March, 2025
Mingxin Lei, Stephen P. Eckel, Eric B. Norrgard, Nikunjkumar Prajapati, Alexandra B. Artusio-Glimpse, Matthew T. Simons, and Christopher L. Holloway
Phys. Rev. Applied 23, 034028 (2025) - Published 13 March, 2025
Haizhong Weng, Huilan Tu, Vikash Kumar, Lulin Wang, Adnan Ali Afridi, Qiaoyin Lu, Dmitry Skryabin, Weihua Guo, and John F. Donegan
Phys. Rev. Applied 23, 034029 (2025) - Published 13 March, 2025
Jiaming Wu, Adrien d’Hollande, Haoran Du, and Marcelo Rozenberg
Phys. Rev. Applied 23, 034030 (2025) - Published 14 March, 2025
Implementing artificial neural networks in electronic hardware has been pursued for decades, but suffers drawbacks such as device mismatch and circuit complexity, hence requiring sophisticated fabrication facilities. This study exploits the concept of memristors to implement a neuromorphic circuit of extreme simplicity. Both the neuron and synaptic circuits quantitatively realize conventional mathematical models of theoretical neuroscience and are implemented with off-the-shelf analog electronic components. This hardware model provides an affordable and easily available platform to implement spiking neural networks for basic research and practical applications.
Xiangyi Zhang, Elisabetta Valiante, Moslem Noori, Chan-Woo Yang, Ignacio Rozada, Fabian Böhm, Thomas Van Vaerenbergh, Giacomo Pedretti, Masoud Mohseni, and Raymond Beausoleil
Phys. Rev. Applied 23, 034031 (2025) - Published 14 March, 2025
Improving the performance of parallel computing usually comes at the cost of complexity and high energy consumption. This study combines multiple in-memory computing solvers via a parallel-tempering framework, and shows an increase in the speed and energy efficiency of solving binary optimization problems with negligible energy overhead. This approach is expected to have an impact on engineering solutions to Boolean satisfiability problems, Ising machines, and other binary optimization problems with applications in fields such as circuit design and supply-chain management, among others.
Hanbo Sun, Yewei Ren, Chao Wu, Pengqiang Dong, Weixi Zhang, Yin-Zhong Wu, and Ping Li
Phys. Rev. Applied 23, 034032 (2025) - Published 14 March, 2025
L. Martelli, O. Kononenko, I.A. Andriyash, J. Wheeler, J. Gautier, J.-P. Goddet, A. Tafzi, R. Lahaye, C. Giaccaglia, A. Flacco, V. Tomkus, M. Mackevičiūtė, J. Dudutis, V. Stankevic, P. Gečys, G. Račiukaitis, H. Kraft, X.Q. Dinh, and C. Thaury
Phys. Rev. Applied 23, 034033 (2025) - Published 17 March, 2025
Yijie Liu, Yuyang Chen, Zhaoyang Guo, Zhi-Kang Lin, Di Zhou, Feng Li, and Ying Wu
Phys. Rev. Applied 23, 034034 (2025) - Published 17 March, 2025
Niko R. Reed, Danyal Bhutto, Matthew J. Turner, Declan M. Daly, Sean M. Oliver, Jiashen Tang, Kevin S. Olsson, Nicholas Langellier, Mark J.H. Ku, Matthew S. Rosen, and Ronald L. Walsworth
Phys. Rev. Applied 23, 034035 (2025) - Published 17 March, 2025
Peng Xu, Haitao Zhang, and Shengjun Wu
Phys. Rev. Applied 23, 034036 (2025) - Published 18 March, 2025
Jiakang Mao, Yafeng Bai, Yushan Zeng, Qiang Chen, and Ye Tian
Phys. Rev. Applied 23, 034037 (2025) - Published 18 March, 2025
Ling Hong, Yuning Zhang, Yuanyuan Chen, and Lixiang Chen
Phys. Rev. Applied 23, 034038 (2025) - Published 18 March, 2025
J.J. Liu, K.K. Meng, Y.Q. Ruan, W.S. Yue, L.P. Sun, Y. Wu, J.K. Chen, X.G. Xu, and Y. Jiang
Phys. Rev. Applied 23, 034039 (2025) - Published 18 March, 2025
Reem Mandil, Li Qian, and Hoi-Kwong Lo
Phys. Rev. Applied 23, 034040 (2025) - Published 19 March, 2025
Mehran Roghani, Dirk Romeis, Gašper Glavan, Inna A. Belyaeva, Mikhail Shamonin, and Marina Saphiannikova
Phys. Rev. Applied 23, 034041 (2025) - Published 19 March, 2025
Gaojun Chen, Lu Liu, Ning Zhang, Liang Chen, and Xiangdong Liu
Phys. Rev. Applied 23, 034042 (2025) - Published 19 March, 2025
S.A. Odintsov, S.E. Sheshukova, S.A. Nikitov, and A.V. Sadovnikov
Phys. Rev. Applied 23, 034043 (2025) - Published 19 March, 2025
Dairong Chen, Augustin Couton Wyporek, Pierre Chailloleau, Ahmed Sidi El Valli, Flaviano Morone, Stephane Mangin, Jonathan Z. Sun, Dries Sels, and Andrew D. Kent
Phys. Rev. Applied 23, 034044 (2025) - Published 20 March, 2025
Magnetic tunnel junctions (MTJs) are promising building blocks for energy-efficient computing in neuromorphic and optimization applications, but implementing logic functions in coupled MTJs remains a significant challenge. This study offers an approach to building a universal reversible Toffoli gate using interacting macrospins—representing MTJ free layers—evolving under Landau-Lifshitz-Gilbert dynamics. With tuning and thermal annealing, the system reliably converges on correct logic outputs, revealing strategies for embedding logic into magnetic hardware. This approach could enable more complex spintronic computational architectures founded on MTJ-based Boltzmann machines.
Jiaxuan Chen, Yicheng Song, and Akira Hirose
Phys. Rev. Applied 23, 034045 (2025) - Published 20 March, 2025
Zihao Wang, Rayleigh W. Parker, Elizabeth Champion, and Machiel S. Blok
Phys. Rev. Applied 23, 034046 (2025) - Published 20 March, 2025
R. Di Vora, A. Lombardi, A. Ortolan, G. Ruoso, C. Braggio, G. Carugno, and A. Gardikiotis
Phys. Rev. Applied 23, 034047 (2025) - Published 20 March, 2025
Vincent Paul Su, ChunJun Cao, Hong-Ye Hu, Yariv Yanay, Charles Tahan, and Brian Swingle
Phys. Rev. Applied 23, 034048 (2025) - Published 20 March, 2025
Guohui Zhan, Tongshuai Zhu, Jiaxin Yao, Kun Luo, Huaixiang Yin, Shengli Zhang, and Zhenhua Wu
Phys. Rev. Applied 23, 034049 (2025) - Published 20 March, 2025
Robert Berghaus, Selene Sachero, Gregor Bayer, Julia Heupel, Tobias Herzig, Florian Feuchtmayr, Jan Meijer, Cyril Popov, and Alexander Kubanek
Phys. Rev. Applied 23, 034050 (2025) - Published 20 March, 2025
Erwan Plouet, Dédalo Sanz-Hernández, Aymeric Vecchiola, Julie Grollier, and Frank Mizrahi
Phys. Rev. Applied 23, 034051 (2025) - Published 21 March, 2025
Networks of spintronic nano-oscillators promise to process time series in a fast and energy-efficient way. However, realizations leveraging the transient dynamics of spintronic oscillators have been limited to training-free or single-layer networks. Through numerical simulations, the authors show how to train a multilayer dynamical spintronic network using standard machine-learning tools and derive design guidelines. These results are a key step toward using deep dynamical networks in applications such as smart sensors, personal assistants, and medical devices.
H.P. Bartling, J. Yun, K.N. Schymik, M. van Riggelen, L.A. Enthoven, H.B. van Ommen, M. Babaie, F. Sebastiano, M. Markham, D.J. Twitchen, and T.H. Taminiau
Phys. Rev. Applied 23, 034052 (2025) - Published 21 March, 2025
Spins associated with color centers are promising qubits for quantum computation and quantum networks. One of the key challenges toward larger-scale systems is to improve the quality of gate operations. This study realizes a complete set of high-quality gates for the two-qubit system formed by the nitrogen-vacancy center in diamond, using gate designs that protect the qubits from unwanted interactions. These gates are characterized by gate-set tomography, and demonstrate high fidelities for both single- and two-qubit gates. These methods provide opportunities to realize high-quality gates for a variety of color centers in various materials, including diamond, silicon carbide, and silicon.
Chengyu Zhao, Kai Wu, Jingjing Liu, Bin Liang, and Jian-chun Cheng
Phys. Rev. Applied 23, 034053 (2025) - Published 21 March, 2025
Ya-nan Hou, Ruizhi Dong, Hongyu Ma, Xu Wang, and Yong Li
Phys. Rev. Applied 23, 034054 (2025) - Published 24 March, 2025
Ming-Da Huang, Zhan-Feng Jiang, Hong-Yi Chen, Ying Zuo, Xiao-Peng Hu, Hai-Dong Yuan, Li-Jian Zhang, and Qi Qin
Phys. Rev. Applied 23, 034055 (2025) - Published 24 March, 2025
Yuxiang Wang, Wenhai Tan, Wenbo Chang, Baoxing Chen, Wei Li, Chao Xue, Qi Liu, Zhu Li, and Shanqing Yang
Phys. Rev. Applied 23, 034056 (2025) - Published 24 March, 2025
Tianqi Liu, Jiancheng Lai, Zhenhua Li, and Tao Li
Phys. Rev. Applied 23, 034057 (2025) - Published 24 March, 2025
A.R. Will-Cole, Xingyu Du, Bin Luo, Valeria Lauter, Alexander Grutter, Lisa Hackett, Michael Miller, Yuanchen Deng, Brandon Smith, Olivia Pitcl, Nian X. Sun, Roy H. Olsson, III, and Matt Eichenfield
Phys. Rev. Applied 23, 034058 (2025) - Published 24 March, 2025
Kuei-Lin Chiu, Youyi Chang, Avishma J. Lasrado, Cheng-Han Lo, Yung-Hsiang Chen, Tao-Yi Hsu, Yen-Chih Chen, Yi-Chen Tsai, Samina, Yen-Hsiang Lin, and Chung-Ting Ke
Phys. Rev. Applied 23, 034059 (2025) - Published 24 March, 2025
Yifang Xu, Ziyue Hua, Weiting Wang, Yuwei Ma, Ming Li, Jiajun Chen, Jie Zhou, Xiaoxuan Pan, Lintao Xiao, Hongwei Huang, Weizhou Cai, Hao Ai, Yu-xi Liu, Chang-Ling Zou, and Luyan Sun
Phys. Rev. Applied 23, 034060 (2025) - Published 24 March, 2025
Hongyi Li, Ling Jian, Liangliang Liu, Lingyun Niu, Lepeng Zhang, Jindi Huang, Haochi Zhang, Dongjue Liu, Hao Hu, Yu Luo, and Zhuo Li
Phys. Rev. Applied 23, 034061 (2025) - Published 24 March, 2025
Finlay Ryburn, Kevin Künstle, Yangzhan Zhang, Yannik Kunz, Timmy Reimann, Morris Lindner, Carsten Dubs, John F. Gregg, and Mathias Weiler
Phys. Rev. Applied 23, 034062 (2025) - Published 24 March, 2025
Peter Yun (云恩学), Rodolphe Boudot, Qiang Hao, and Shougang Zhang
Phys. Rev. Applied 23, 034063 (2025) - Published 25 March, 2025
Tomoyuki Iori and Ryu Yukawa
Phys. Rev. Applied 23, 034064 (2025) - Published 25 March, 2025
Kenichi Umeda, Karen Kamoshita, and Noriyuki Kodera
Phys. Rev. Applied 23, 034065 (2025) - Published 25 March, 2025
Xiuying Zhang, Linqiang Xu, Jing Lu, Zhaofu Zhang, and Lei Shen
Phys. Rev. Applied 23, 034066 (2025) - Published 25 March, 2025
V. Champain, S. Zihlmann, A. Chessari, B. Bertrand, H. Niebojewski, É. Dumur, X. Jehl, V. Schmitt, B. Brun, C. Winkelmann, Y.M. Niquet, M. Filippone, S. De Franceschi, and R. Maurand
Phys. Rev. Applied 23, 034067 (2025) - Published 25 March, 2025
Purna P. Paudel, Nathan O. Smith, and Tudor D. Stanescu
Phys. Rev. Applied 23, 034068 (2025) - Published 25 March, 2025
Wenbo Sun, Adrian E. Rubio López, and Zubin Jacob
Phys. Rev. Applied 23, 034069 (2025) - Published 25 March, 2025
Yanqi Yin, Yunzhou Hu, Yang Yu, Yupei Zhang, Chen Liu, Wenjie Sun, and Bo Li
Phys. Rev. Applied 23, 034070 (2025) - Published 25 March, 2025
Jiaming Liang, Zhongzheng Zhu, Daixuan Wu, Yuecheng Shen, Jiawei Luo, Zhengyang Wang, Zhiling Zhang, Dalong Qi, Yunhua Yao, Lianzhong Deng, Fan Li, Zhenrong Sun, Zhi-Chao Luo, and Shian Zhang
Phys. Rev. Applied 23, 034071 (2025) - Published 25 March, 2025
Yiting Cheng, Yufeng Li, Yunhao Zhang, Tian Zhao, Yongquan Liu, and Zhendong Sha
Phys. Rev. Applied 23, 034072 (2025) - Published 25 March, 2025
J.-T. Bu, Lei Zhang, Zhan Yu, Jing-Bo Wang, W.-Q. Ding, W.-F. Yuan, B. Wang, H.-J. Du, W.-J. Chen, L. Chen, J.-W. Zhang, J.-C. Li, F. Zhou, Xin Wang, and M. Feng
Phys. Rev. Applied 23, 034073 (2025) - Published 25 March, 2025
Gongwei Hu, Jiaqi Yang, Haozhen Chen, Min Liu, Shuaiwei Fan, Fobao Huang, Qiao Chen, and Minjiang Dan
Phys. Rev. Applied 23, 034074 (2025) - Published 25 March, 2025
Jacob J. Wisser, Alexander Reid, Varun Harbola, Duan Luo, Xiaozhe Shen, Patrick L. Kramer, Emily R. Lindgren, Chenyi Xia, Matthias C. Hoffmann, Aaron M. Lindenberg, Harold Hwang, and Yuri Suzuki
Phys. Rev. Applied 23, 034075 (2025) - Published 25 March, 2025
Junlin Wang, Luojia Wang, Jinlou Ma, Ang Yang, Luqi Yuan, and Lei Ying
Phys. Rev. Applied 23, 034076 (2025) - Published 25 March, 2025
Cheng-Hao Yin, Hong-Tao Jiang, Yang-Yang Lv, Shu-Hua Yao, Jian Zhou, Y. B. Chen, and Yan-Feng Chen
Phys. Rev. Applied 23, 034077 (2025) - Published 25 March, 2025
Motoya Shinozaki, Yui Muto, Takahito Kitada, and Tomohiro Otsuka
Phys. Rev. Applied 23, 034078 (2025) - Published 26 March, 2025
Jason Saied, Jeffrey Marshall, Namit Anand, and Eleanor G. Rieffel
Phys. Rev. Applied 23, 034079 (2025) - Published 26 March, 2025
Fault-tolerant linear optical quantum computation relies on interference between identical photons to generate entanglement. Unfortunately, photons in the lab tend to be partially distinguishable, generating less entanglement and causing unheralded errors. The authors introduce families of distillation schemes that use n-photon interference and postselection to filter out “bad” photons and reduce distinguishability by a factor of n, with resource costs scaling only linearly in n. Along the way, the team also resolves an open problem regarding n-mode Fourier interferometers, namely that the Zero Transmission Law characterizes all suppression if and only if n is a prime power.
Nikita Semenin, Ilia Zalivako, Vasily Smirnov, Ilya Semerikov, Alexander Borisenko, Andrey Korolkov, Pavel Sidorov, Kristina Galstyan, Ksenia Khabarova, and Nikolay Kolachevsky
Phys. Rev. Applied 23, 034080 (2025) - Published 26 March, 2025
Connor R.J. Sait, Thomas H.J. Loughran, Maciej Da̧browski, Paul S. Keatley, and Robert J. Hicken
Phys. Rev. Applied 23, 034081 (2025) - Published 26 March, 2025
Xiaozheng Fan, Ruqian Wu, Chunlan Ma, Shijing Gong, Chuanxi Zhao, Tianxing Wang, Xiao Dong, Shaoqian Yin, and Yipeng An
Phys. Rev. Applied 23, 034082 (2025) - Published 27 March, 2025
Edward W. Steele, Donald R. Reising, and Tian Li
Phys. Rev. Applied 23, 034083 (2025) - Published 27 March, 2025
Clémence Gaunand, Yannick De Wilde, Adrien François, Veneta Grigorova-Moutiers, and Karl Joulain
Phys. Rev. Applied 23, 034084 (2025) - Published 28 March, 2025
Xue-Kun Chen, Jian Zhu, Meng Qi, Pin-Zhen Jia, and Zhong-Xiang Xie
Phys. Rev. Applied 23, 034085 (2025) - Published 31 March, 2025
Andrea Meo, Chengcen Sha, Emily Darwin, Riccardo Tomasello, Mario Carpentieri, Ilya N. Krivorotov, and Giovanni Finocchio
Phys. Rev. Applied 23, 034086 (2025) - Published 31 March, 2025