Cassandra Dailledouze, Antoine Hilberer, Martin Schmidt, Marie-Pierre Adam, Loïc Toraille, Kin On Ho, Anne Forget, Dorothée Colson, Paul Loubeyre, and Jean-François Roch
Phys. Rev. Applied 23, 064067 (2025) - Published 30 June, 2025
Understanding how superconductors behave under intense pressure is essential for the quest to discover materials with higher critical temperatures. However, magnetic measurements inside a diamond anvil cell remain technically challenging, contributing to controversies in high-pressure superconductivity. This study uses nitrogen-vacancy centers in diamond to visualize the Meissner effect and flux trapping in situ in a diamond anvil cell. The technique reveals spatial inhomogeneities in samples and provides micrometer-scale magnetic maps across the superconducting transition.
Slava G. Turyshev
Phys. Rev. Applied 23, 064066 (2025) - Published 27 June, 2025
A researcher describes a pathway to unprecedented precision for measurements of the distance to the Moon using a continuous rather than a pulsed laser.
Benedikt Wilde, Manuel Kaiser, Malte Reinschmidt, Andreas Günther, Dieter Koelle, Jószef Fortágh, Reinhold Kleiner, and Daniel Bothner
Phys. Rev. Applied 23, 064016 (2025) - Published 6 June, 2025
Hybrid quantum systems are promising platforms for addressing important challenges in quantum information science and quantum sensing, but their implementation is technologically demanding. The authors work toward a hybrid system consisting of a superconducting microwave circuit and optically trapped ultracold atoms, focusing on the design optimization of a suitable superconducting chip. Detailed microwave-cavity engineering strategies for maximum coupling rates are presented, as well as an experimental implementation of such a device. These results highlight the relevant considerations and lay the groundwork for this hybrid platform, approaching the strong coupling regime.
Daoyuan Qian, Hannes Ausserwoger, William E. Arter, Rob M. Scrutton, Timothy J. Welsh, Tadas Kartanas, Niklas Ermann, Seema Qamar, Charlotte M. Fischer, Tomas Sneideris, Peter St George-Hyslop, Rohit V. Pappu, and Tuomas P.J. Knowles
Phys. Rev. Applied 23, 064017 (2025) - Published 6 June, 2025
Biomolecular condensates are vital in cellular organization and disease, yet their multicomponent nature makes it challenging to understand the interactions driving their formation. This study extends the energy dominance framework to show that measuring the dilute-phase concentration of a single target component reveals four distinct modes of condensate modulation. Using this approach, the authors experimentally demonstrate that the small molecule suramin dissolves condensates formed by protein G3BP1 by specifically weakening the G3BP1-RNA interactions, thus establishing a versatile framework for studying condensate systems in general.
Sébastien Perseguers
Phys. Rev. Applied 23, 064023 (2025) - Published 10 June, 2025
Analog quantum computing offers a promising solution for complex optimization tasks, particularly through the maximum independent set embedded in arrays of Rydberg atoms. This study develops a numerical approach that optimizes the adiabatic schedules based on problem hardness, significantly improving performance and ease of implementation compared to existing methods. Along the way, the author discovers that constraints on the detuning are critical to success—a factor that goes overlooked in many protocols. These findings could pave the way for more effective hybrid algorithms, enhancing quantum computing’s ability to tackle real-world combinatorial problems.
Amir Youssefi, Mahdi Chegnizadeh, Marco Scigliuzzo, and Tobias J. Kippenberg
Phys. Rev. Applied 23, 064071 (2025) - Published 30 June, 2025
Vacuum-gap capacitors offer very low microwave loss, compact design, and high-quality vibrational modes, making them ideal building blocks for circuit optomechanics. Their broader use has been limited, though, by longstanding fabrication challenges, particularly in achieving precisely controlled gap sizes and ultracoherent mechanical motion. The authors present a scalable fabrication process that enables vacuum gaps around 150 nm and supports mechanical oscillators with quality factors up to 4×10. These results point to scalable circuits that connect superconducting qubits to mechanical modes, with applications in quantum storage and tests of gravitational effects in quantum mechanics.
Wilson J. Yánez-Parreño, Alexander Vera, Sandra Santhosh, Chengye Dong, Jimmy C. Kotsakidis, Yongxi Ou, Saurav Islam, Adam L. Friedman, Maxwell Wetherington, Joshua Robinson, and Nitin Samarth
Phys. Rev. Applied 23, L061001 (2025) - Published 9 June, 2025
Understanding electrically driven charge-spin interconversion in bismuth is important for the development of energy-efficient spintronic memory. The charge-spin interconversion efficiency is expected to change in the two-dimensional (2D) limit, along with fundamental changes in spin-orbit coupling and topology. However, natural oxidation prevents the study of spin transport in conventionally grown 2D Bi films. This Letter reports the synthesis of hermetically protected, air-stable wafer-scale atomically thin films of crystalline Bi, and demonstrates charge-to-spin conversion in the 2D limit in a layered heterostructure of 2D Bi, epitaxial graphene, and a metallic ferromagnet (permalloy).
Hanchen Wang, Jinlong Wang, Kanglin Yu, Lutong Sheng, Yongjian Zhou, Rundong Yuan, Chensong Hua, Weichao Yu, Junfeng Hu, Jilei Chen, Cheng Song, Jean-Philippe Ansermet, Mehrdad Elyasi, Gerrit E.W. Bauer, and Haiming Yu
Phys. Rev. Applied 23, L061002 (2025) - Published 16 June, 2025
Magnon polaritons (hybrid excitations of magnons and microwave photons) are promising for coherent information transfer in various technologies, but their potential—particularly in antiferromagnets—has remained largely untapped, due to limited understanding of their long-range propagation. The authors demonstrate millimeter-scale nonlocal transport of self-formed magnon polaritons, enabled by strong photon-magnon coupling and enhanced by cavity resonances, in the canted antiferromagnet hematite. Remarkably, here dipolar and spin-orbit interactions drive nonreciprocal propagation, opening pathways for on-chip spin communication and antiferromagnetic cavity optomagnonics.
Sachio Komori, Sogo Suzuki, Keiichiro Imura, and Tomoyasu Taniyama
Phys. Rev. Applied 23, L061003 (2025) - Published 17 June, 2025
The critical temperature of a superconducting spin valve consisting of a ferromagnet/superconductor/ferromagnet trilayer can be controlled by the magnetization alignment of the two ferromagnetic layers. This Letter reports that the sign of the critical-temperature switching in an oxide superconducting spin valve can be tuned by adjusting the resistivity of the ferromagnetic layers. The results offer a platform for the development of superconducting spintronic memory devices utilizing multiple pair-breaking mechanisms.
Yichun Gao, Wenyu Song, Yuhao Wang, Zuhan Geng, Zhan Cao, Zehao Yu, Shuai Yang, Jiaye Xu, Fangting Chen, Zonglin Li, Ruidong Li, Lining Yang, Zhaoyu Wang, Shan Zhang, Xiao Feng, Tiantian Wang, Yunyi Zang, Lin Li, Dong E. Liu, Runan Shang, Qi-Kun Xue, Ke He, and Hao Zhang
Phys. Rev. Applied 23, L061004 (2025) - Published 23 June, 2025
Quantized Andreev conductance is an important indicator of quality in semiconductor-superconductor hybrid nanowires. The phenomenon was not detected in previous studies, though, due to a high level of device disorder. This Letter reports the observation of quantized Andreev-conductance plateaus after the significant reduction of disorder in PbTe nanowires. Such nanowires may solve the disorder problem and enable cleaner signatures of Majorana zero modes, which could serve as a basis for topological quantum computing—once we are able to detect and study them suitably.
Caesnan M. G. Leditto, Angus Southwell, Behnam Tonekaboni, Muhammad Usman, and Kavan Modi
Phys. Rev. Applied 23, L061005 (2025) - Published 24 June, 2025
Higher-order networks, which capture multipartite interactions, are increasingly crucial for modeling complex systems in physics and related fields. Ranking data within these networks presents a significant computational bottleneck, especially with incomplete datasets that are typical in experimental settings. This work introduces a quantum algorithm inspired by discrete exterior calculus to address this challenge, alleviating the exponential computational cost. The approach may provide a practical quantum advantage for ranking analysis, enabling insights in areas such as many-body physics and network dynamics.
Zhouyan Jiang, Feiling Yang, Yubai Li, Haorong Zhu, Jiawei Wang, Guofu Zhou, and Feilong Liu
Phys. Rev. Applied 23, 064001 (2025) - Published 2 June, 2025
Erik Gustafson, Kyle Sherbert, Adrien Florio, Karunya Shirali, Yanzhu Chen, Henry Lamm, Semeon Valgushev, Andreas Weichselbaum, Sophia E. Economou, Robert D. Pisarski, and Norm M. Tubman
Phys. Rev. Applied 23, 064002 (2025) - Published 2 June, 2025
Tianai Zhou, Gang Xu, Yewei Guo, Tao Shang, Zongpeng Li, Xiu-Bo Chen, and Ying Guo
Phys. Rev. Applied 23, 064003 (2025) - Published 2 June, 2025
Kihwan Kim, Yisoo Na, Jungbae Yoon, Dongkwon Lee, Hee Seong Kang, Chul-Ho Lee, Chulki Kim, and Donghun Lee
Phys. Rev. Applied 23, 064004 (2025) - Published 3 June, 2025
Wen-Hao Zhang, Zihao Li, Gong-Chu Li, Xu-Song Hong, Huangjun Zhu, Geng Chen, Chuan-Feng Li, and Guang-Can Guo
Phys. Rev. Applied 23, 064005 (2025) - Published 3 June, 2025
Zhijiang Wang, Ligong Zhang, Yuchen Wang, Yijiao Wang, Xiaoyan Liu, and Fei Liu
Phys. Rev. Applied 23, 064006 (2025) - Published 4 June, 2025
Yuguang Qiu, Gaole Dai, and Jiping Huang
Phys. Rev. Applied 23, 064007 (2025) - Published 4 June, 2025
M. Noirhomme, I. Mammadli, N. Vanesse, J. Pande, A.-S. Smith, and N. Vandewalle
Phys. Rev. Applied 23, 064008 (2025) - Published 4 June, 2025
Dung N. Pham, Richard D. Li, and Hakan E. Türeci
Phys. Rev. Applied 23, 064009 (2025) - Published 4 June, 2025
Ruolan Wen, Zichao Ma, Yingjie Luo, and Changjian Zhou
Phys. Rev. Applied 23, 064010 (2025) - Published 4 June, 2025
Shaojie Wang, Ke Chen, Xiangrui Zhang, Shufang Dong, Kui Tang, Weixu Yang, Junming Zhao, Tian Jiang, and Yijun Feng
Phys. Rev. Applied 23, 064011 (2025) - Published 5 June, 2025
Adam G. Whitney, Joshua M. Lewis, Justin Dickovick, Vijaysankar Kalappattil, Lincoln D. Carr, and Mingzhong Wu
Phys. Rev. Applied 23, 064012 (2025) - Published 5 June, 2025
Qi Ding, Alan V. Oppenheim, Petros T. Boufounos, Simon Gustavsson, Jeffrey A. Grover, Thomas A. Baran, and William D. Oliver
Phys. Rev. Applied 23, 064013 (2025) - Published 5 June, 2025
Kaili Xie, Marie Corpart, Antoine Deblais, and Daniel Bonn
Phys. Rev. Applied 23, 064014 (2025) - Published 5 June, 2025
Yujiro Eto, Mutsuo Nuriya, and Hideaki Kano
Phys. Rev. Applied 23, 064015 (2025) - Published 6 June, 2025
Benedikt Wilde, Manuel Kaiser, Malte Reinschmidt, Andreas Günther, Dieter Koelle, Jószef Fortágh, Reinhold Kleiner, and Daniel Bothner
Phys. Rev. Applied 23, 064016 (2025) - Published 6 June, 2025
Hybrid quantum systems are promising platforms for addressing important challenges in quantum information science and quantum sensing, but their implementation is technologically demanding. The authors work toward a hybrid system consisting of a superconducting microwave circuit and optically trapped ultracold atoms, focusing on the design optimization of a suitable superconducting chip. Detailed microwave-cavity engineering strategies for maximum coupling rates are presented, as well as an experimental implementation of such a device. These results highlight the relevant considerations and lay the groundwork for this hybrid platform, approaching the strong coupling regime.
Daoyuan Qian, Hannes Ausserwoger, William E. Arter, Rob M. Scrutton, Timothy J. Welsh, Tadas Kartanas, Niklas Ermann, Seema Qamar, Charlotte M. Fischer, Tomas Sneideris, Peter St George-Hyslop, Rohit V. Pappu, and Tuomas P.J. Knowles
Phys. Rev. Applied 23, 064017 (2025) - Published 6 June, 2025
Biomolecular condensates are vital in cellular organization and disease, yet their multicomponent nature makes it challenging to understand the interactions driving their formation. This study extends the energy dominance framework to show that measuring the dilute-phase concentration of a single target component reveals four distinct modes of condensate modulation. Using this approach, the authors experimentally demonstrate that the small molecule suramin dissolves condensates formed by protein G3BP1 by specifically weakening the G3BP1-RNA interactions, thus establishing a versatile framework for studying condensate systems in general.
Joachim P. Leibold, Nick R. von Grafenstein, Xiaoxun Chen, Linda Müller, Karl D. Briegel, and Dominik B. Bucher
Phys. Rev. Applied 23, 064018 (2025) - Published 6 June, 2025
Rong Wang, Yao Yao, and Zhen-Qiang Yin
Phys. Rev. Applied 23, 064019 (2025) - Published 6 June, 2025
Ruixuan Wang, Jingwei Li, and Qing Li
Phys. Rev. Applied 23, 064020 (2025) - Published 9 June, 2025
Vinit Kumar Chugh, Shuang Liang, Matthew S. Hopper, Arnab Dey, Venkatramana D. Krishna, Maxim C.-J. Cheeran, Kai Wu, and Jian-Ping Wang
Phys. Rev. Applied 23, 064021 (2025) - Published 9 June, 2025
Peter K. Elgee, Kevin C. Cox, Joshua C. Hill, Paul D. Kunz, and David H. Meyer
Phys. Rev. Applied 23, 064022 (2025) - Published 9 June, 2025
Sébastien Perseguers
Phys. Rev. Applied 23, 064023 (2025) - Published 10 June, 2025
Analog quantum computing offers a promising solution for complex optimization tasks, particularly through the maximum independent set embedded in arrays of Rydberg atoms. This study develops a numerical approach that optimizes the adiabatic schedules based on problem hardness, significantly improving performance and ease of implementation compared to existing methods. Along the way, the author discovers that constraints on the detuning are critical to success—a factor that goes overlooked in many protocols. These findings could pave the way for more effective hybrid algorithms, enhancing quantum computing’s ability to tackle real-world combinatorial problems.
Guohui Dong and Yao Yao
Phys. Rev. Applied 23, 064024 (2025) - Published 10 June, 2025
Santu Prasad Jana, S. Sreesanker, Suraina Gupta, and Anjan K. Gupta
Phys. Rev. Applied 23, 064025 (2025) - Published 10 June, 2025
Minye Yang, Baolong Jian, Zhilu Ye, Lukang Wang, and Ming Liu
Phys. Rev. Applied 23, 064026 (2025) - Published 10 June, 2025
Andrea Alessandrini, Leone di Mauro Villari, Luca Assogna, Matteo Silvestri, Matteo Venturi, Carino Ferrante, Paola Benassi, Davide Tedeschi, and Andrea Marini
Phys. Rev. Applied 23, 064027 (2025) - Published 11 June, 2025
E. Saugar, R. Moreno, O. Chubykalo-Fesenko, and K.Y. Guslienko
Phys. Rev. Applied 23, 064028 (2025) - Published 11 June, 2025
Ingo Rehberg and Peter Blümler
Phys. Rev. Applied 23, 064029 (2025) - Published 11 June, 2025
Zi-Jiang Yang, Pan-Pan Wang, Ming-Yang Xu, and Cheng-Gang Shao
Phys. Rev. Applied 23, 064030 (2025) - Published 11 June, 2025
Amirali Chalechale, Roderick Melnik, and Zoran L. Miškovic
Phys. Rev. Applied 23, 064031 (2025) - Published 12 June, 2025
Sonia Rani, Xi Cao, Alejandro E. Baptista, Axel Hoffmann, and Wolfgang Pfaff
Phys. Rev. Applied 23, 064032 (2025) - Published 12 June, 2025
Xin-Rui Li, Bu-Chen Ping, Da-Jian Wu, Xing-Feng Zhu, Di-Chao Chen, and Badreddine Assouar
Phys. Rev. Applied 23, 064033 (2025) - Published 12 June, 2025
Arash Dezhang Fard, Marek Kopciuch, Yujie Sun, Przemysław Włodarczyk, and Szymon Pustelny
Phys. Rev. Applied 23, 064034 (2025) - Published 13 June, 2025
S.L. Vysotskii, Y.V. Nikulin, G.M. Dudko, A.V. Kozhevnikov, V.K. Sakharov, Y.V. Khivintsev, S.A. Nikitov, and Y.A. Filimonov
Phys. Rev. Applied 23, 064035 (2025) - Published 13 June, 2025
P.H. Ouyang, S.R. He, Y. Liu, Y.Q. Chai, J. Ma, J.X. He, and L.F. Wei
Phys. Rev. Applied 23, 064036 (2025) - Published 13 June, 2025
Longtao Tang, Qiang Yang, Jiawei Liu, Yang Gao, Yichang Shou, Dandan Zheng, Shizhen Chen, and Hailu Luo
Phys. Rev. Applied 23, 064037 (2025) - Published 13 June, 2025
F.B. Baalbergen, I.E. Zadeh, and M.J.A. de Dood
Phys. Rev. Applied 23, 064038 (2025) - Published 16 June, 2025
Zihao Feng, Liyang Zhang, Xinxin Wang, Xiaobing Zou, Haiyun Luo, and Yangyang Fu
Phys. Rev. Applied 23, 064039 (2025) - Published 16 June, 2025
Vinod Kumar Solet and Sudhir K. Pandey
Phys. Rev. Applied 23, 064040 (2025) - Published 16 June, 2025
Yuanchao Yang, Jack A. Stone, and Patrick F. Egan
Phys. Rev. Applied 23, 064041 (2025) - Published 17 June, 2025
Yi Hu, Congcong Zheng, Xiaojun Wang, Zaichen Zhang, Ping Xu, and Kun Wang
Phys. Rev. Applied 23, 064042 (2025) - Published 17 June, 2025
Arunn Suntharalingam, Lucas Fernández-Alcázar, Pablo Fabián Wagner-Boián, Mattis Reisner, Ulrich Kuhl, and Tsampikos Kottos
Phys. Rev. Applied 23, 064043 (2025) - Published 17 June, 2025
Xing Li, Rui Xu, Ming-Yuan Yan, Zhi-Han Li, Xin-Rong Pan, Yong-Hua Yu, Weichun Huang, Ming-Hui Lu, and Yan-Feng Chen
Phys. Rev. Applied 23, 064044 (2025) - Published 18 June, 2025
Haotian Sun, Yueheng Du, Chao Ding, and Mingwen Zhao
Phys. Rev. Applied 23, 064045 (2025) - Published 18 June, 2025
Jing Huang, Federico Brivio, Xie Zhang, and Jun Kang
Phys. Rev. Applied 23, 064046 (2025) - Published 20 June, 2025
S.R. Harrigan, F. Sfigakis, L. Tian, N. Sherlekar, B. Cunard, M.C. Tam, H.S. Kim, Z.R. Wasilewski, M.E. Reimer, and J. Baugh
Phys. Rev. Applied 23, 064047 (2025) - Published 20 June, 2025
Zheyu Ren, Yuqing Zhou, Qirui Cui, Shun Kong Cheung, Ruizi Liu, Shiwei Tian, Xuezhao Wu, Hongxin Yang, Yan Zhou, and Qiming Shao
Phys. Rev. Applied 23, 064048 (2025) - Published 20 June, 2025
P. Sgarro, R. Ovcharov, R. Khymyn, S. Ghosh, A.A. Awad, J. Åkerman, and A. Litvinenko
Phys. Rev. Applied 23, 064049 (2025) - Published 20 June, 2025
Yifan Yuan, Zhile Li, Chuanneng Sun, Ranjan Kumar Patel, Hua Zhou, Haoming Yu, Aaron D. Milstein, Dario Pompili, and Shriram Ramanathan
Phys. Rev. Applied 23, 064050 (2025) - Published 20 June, 2025
Adaptive devices that can display multiple resistance states could enable compact, energy-efficient hardware for neuromorphic computing, by sharing intelligence with software via co-design. This study combines machine learning with a VO device and its volatile phase-relaxation dynamics to realize decision trees within a single physical device. These results show a fresh way to utilize distinct phases in electronically complex crystals for emerging AI hardware.
Masayuki Hamada, Masahiro Haze, Junya Okazaki, and Yukio Hasegawa
Phys. Rev. Applied 23, 064051 (2025) - Published 23 June, 2025
Wei-Wei Zhang, Zhuo Xia, Wei Zhao, Wei Pan, and Haobin Shi
Phys. Rev. Applied 23, 064052 (2025) - Published 23 June, 2025
Victor Gaydamachenko, Christoph Kissling, and Lukas Grünhaupt
Phys. Rev. Applied 23, 064053 (2025) - Published 24 June, 2025
Yun-Fei Cheng, Zhen-Hui Qin, Cheng-Zhe Cao, Si-Yuan Yu, and Yan-Feng Chen
Phys. Rev. Applied 23, 064054 (2025) - Published 24 June, 2025
Rachel G. Gruenke-Freudenstein, Erik Szakiel, Gitanjali P. Multani, Takuma Makihara, Akasha G. Hayden, Ali Khalatpour, E. Alex Wollack, Antonia Akoto-Yeboah, Salva Salmani-Rezaie, and Amir H. Safavi-Naeini
Phys. Rev. Applied 23, 064055 (2025) - Published 24 June, 2025
Elena Yu. Egorova, Alena S. Kazmina, Ilya A. Simakov, Ilya N. Moskalenko, Nikolay N. Abramov, Daria A. Kalacheva, Viktor B. Lubsanov, Alexey N. Bolgar, Nataliya Maleeva, and Ilya S. Besedin
Phys. Rev. Applied 23, 064056 (2025) - Published 25 June, 2025
Seong-Jin Lee, Jung-Woo Kim, Sang-Hoon Kim, Dongwoo Lee, Beomseok Oh, Junsuk Rho, and Gunn Hwang
Phys. Rev. Applied 23, 064057 (2025) - Published 25 June, 2025
M.B. Donnelly, J. Rowlands, L. Kranz, Y.L. Hsueh, Y. Chung, A.V. Timofeev, H. Geng, P. Singh-Gregory, S.K. Gorman, J.G. Keizer, R. Rahman, and M.Y. Simmons
Phys. Rev. Applied 23, 064058 (2025) - Published 25 June, 2025
Divya Kaushik, Nitin Kumar, Harshit Sharma, Pukhraj Prajapat, Mehamalini V., G. Sambandamurthy, and Ritu Srivastava
Phys. Rev. Applied 23, 064059 (2025) - Published 26 June, 2025
Yanpu Chen, Zeyan Zhang, Kexin Liu, Jizhou Wu, Yuqing Li, Wenliang Liu, Vladimir Sovkov, Liantuan Xiao, Suotang Jia, and Jie Ma
Phys. Rev. Applied 23, 064060 (2025) - Published 26 June, 2025
Fuyuki Ando, Takamasa Hirai, Hiroto Adachi, and Ken-ichi Uchida
Phys. Rev. Applied 23, 064061 (2025) - Published 26 June, 2025
P. Graham Pritchard and James M. Rondinelli
Phys. Rev. Applied 23, 064062 (2025) - Published 26 June, 2025
V.J. Ajith, Aaron Barr, and Mark Raizen
Phys. Rev. Applied 23, 064063 (2025) - Published 27 June, 2025
Wanting Wu, Yuting Yang, Liwei Shi, Enyuan Wang, and Zhi Hong Hang
Phys. Rev. Applied 23, 064064 (2025) - Published 27 June, 2025
Xinghao Hu, Youyu Mo, Xiao Guo, Haohan Zeng, Yongqi Hou, Haiyan Fan, Yifan Zhu, and Hui Zhang
Phys. Rev. Applied 23, 064065 (2025) - Published 27 June, 2025
Slava G. Turyshev
Phys. Rev. Applied 23, 064066 (2025) - Published 27 June, 2025
A researcher describes a pathway to unprecedented precision for measurements of the distance to the Moon using a continuous rather than a pulsed laser.
Cassandra Dailledouze, Antoine Hilberer, Martin Schmidt, Marie-Pierre Adam, Loïc Toraille, Kin On Ho, Anne Forget, Dorothée Colson, Paul Loubeyre, and Jean-François Roch
Phys. Rev. Applied 23, 064067 (2025) - Published 30 June, 2025
Understanding how superconductors behave under intense pressure is essential for the quest to discover materials with higher critical temperatures. However, magnetic measurements inside a diamond anvil cell remain technically challenging, contributing to controversies in high-pressure superconductivity. This study uses nitrogen-vacancy centers in diamond to visualize the Meissner effect and flux trapping in situ in a diamond anvil cell. The technique reveals spatial inhomogeneities in samples and provides micrometer-scale magnetic maps across the superconducting transition.
Jesus J. Valencia, Adam A. Hecht, C.L. Morris, E. Guardincerri, D. Poulson, J. Bacon, and J.M. Durham
Phys. Rev. Applied 23, 064068 (2025) - Published 30 June, 2025
Rui Li, Kentaro Kubo, Yinghao Ho, Zhiguang Yan, Shinichi Inoue, Yasunobu Nakamura, and Hayato Goto
Phys. Rev. Applied 23, 064069 (2025) - Published 30 June, 2025
A. Jimenez-Girela, D. Merino-Pérez, A. Campos-Jara, J. Socas Negrín, P. Garcia Parejo, and A. Álvarez-Herrero
Phys. Rev. Applied 23, 064070 (2025) - Published 30 June, 2025
Amir Youssefi, Mahdi Chegnizadeh, Marco Scigliuzzo, and Tobias J. Kippenberg
Phys. Rev. Applied 23, 064071 (2025) - Published 30 June, 2025
Vacuum-gap capacitors offer very low microwave loss, compact design, and high-quality vibrational modes, making them ideal building blocks for circuit optomechanics. Their broader use has been limited, though, by longstanding fabrication challenges, particularly in achieving precisely controlled gap sizes and ultracoherent mechanical motion. The authors present a scalable fabrication process that enables vacuum gaps around 150 nm and supports mechanical oscillators with quality factors up to 4×10. These results point to scalable circuits that connect superconducting qubits to mechanical modes, with applications in quantum storage and tests of gravitational effects in quantum mechanics.
A. Mitrovic and M. Bocko
Phys. Rev. Applied 23, 067001 (2025) - Published 2 June, 2025
Josephson junctions with ferromagnetic barriers (FJJs) enable self-biased operation and inductorless logic, improving energy efficiency and scalability of superconducting digital circuits. This review summarizes the physics of FJJs, the materials and existing devices, junction dynamics, and provides an overview of circuit design schemes that incorporate FJJs, offering practical insights for future applications. The authors discuss challenges in the implementation of these approaches, and highlight directions in device and circuit design.
