M. Block, B. Kobrin, A. Jarmola, S. Hsieh, C. Zu, N.L. Figueroa, V.M. Acosta, J. Minguzzi, J.R. Maze, D. Budker, and N.Y. Yao
Phys. Rev. Applied 16, 024024 (2021) - Published 13 August, 2021
Ensembles of nitrogen-vacancy (N-) centers in diamond show promise as versatile electric field sensors, but are limited by noise from an inhomogeneous internal charge environment. Here researchers develop a scheme for optically enhanced electrometry that improves N- sensitivity to external electric fields, especially at low temperatures. They also implement a complementary method for experimentally extracting the color center’s excited-state electric field susceptibilities, and they provide a simple scaling theory for optimizing the density of N- defects in electrometry applications.
Y.-Y. Liu, L.A. Orona, Samuel F. Neyens, E.R. MacQuarrie, M.A. Eriksson, and A. Yacoby
Phys. Rev. Applied 16, 024029 (2021) - Published 17 August, 2021
Silicon-based spin qubits are of significant interest in quantum information processing, due to their small size and potential for scalability. Implementations have been hindered, though, by the presence of electronic valley degeneracy (which causes spin decoherence) and by silicon’s weak spin-orbit coupling (which necessitates complicated micromagnet fabrication to create a magnetic field gradient). The authors measure the valley spectrum of a double-quantum-dot device, and establish two-axis control of a singlet-triplet qubit using the artificial magnetic field gradient generated by the valley subspace. This carries important ramifications for scaling up silicon-based spin qubits.
A. Litvinenko, P. Sethi, C. Murapaka, A. Jenkins, V. Cros, P. Bortolotti, R. Ferreira, B. Dieny, and U. Ebels
Phys. Rev. Applied 16, 024048 (2021) - Published 26 August, 2021
Researchers present a method of phase modulation and phase-shift keying for spin-torque nano-oscillators (STNOs), and demonstrate transmission of a voice signal (telephony) with their STNO-based gear. The key elements of the proposed method are the ability of an STNO to be synchronized by an external signal, and to shift its phase relative to the source’s phase according to an additional control signal. These properties allow not only control of the phase, but also reduction of phase noise, which is a main issue for all oscillators with nanoscale dimensions. The results comprise a significant advance for wireless data and signal communication with nano-oscillators.
He-Liang Huang, Yuxuan Du, Ming Gong, Youwei Zhao, Yulin Wu, Chaoyue Wang, Shaowei Li, Futian Liang, Jin Lin, Yu Xu, Rui Yang, Tongliang Liu, Min-Hsiu Hsieh, Hui Deng, Hao Rong, Cheng-Zhi Peng, Chao-Yang Lu, Yu-Ao Chen, Dacheng Tao, Xiaobo Zhu, and Jian-Wei Pan
Phys. Rev. Applied 16, 024051 (2021) - Published 27 August, 2021
Quantum machine learning is expected to be among the first practical applications of near-term quantum devices. Whether quantum generative adversarial networks (quantum GANs) implemented on near-term devices can actually solve real-world learning tasks, however, has remained unclear. The authors narrow this knowledge gap by designing a flexible quantum GAN scheme, and realizing this scheme on a superconducting quantum processor. Their system learns and generates images of real-world handwritten numerals, and exhibits competitive performance with classical GANs. This work opens up an avenue for exploring quantum advantage in various machine-learning tasks.
Jiangfeng Guo, Michael M. B. Ross, Benedict Newling, and Bruce J. Balcom
Phys. Rev. Applied 16, L021001 (2021) - Published 5 August, 2021
Traditional MRI flow measurements are complicated and employ sophisticated (and thus expensive) hardware. The authors present a simple, palm-sized magnetic resonance magnet with a permanent field gradient, for measuring velocity profiles of Newtonian or non-Newtonian fluids, which is important for rheological studies. A flow yields characteristic phase shifts and signal-magnitude changes that may be analyzed to quantitatively reconstruct velocity profiles. This method removes complexity and expense with a simple, elegant measurement.
Alexey P. Slobozhanyuk, Alena V. Shchelokova, Alexander V. Kozachenko, Irina V. Melchakova, Alexander J.E. Raaijmakers, Cornelis A.T. van den Berg, Pavel A. Belov, and Andrew G. Webb
Phys. Rev. Applied 16, L021002 (2021) - Published 5 August, 2021
Standard techniques to image the eigenmodes of a metasurface are based on collecting signals from various spatial positions via a probe on a motorized platform—typically a slow procedure, and only a two-dimensional near-field profile can be measured in one scan. This work demonstrates an innovative way to visualize and study metasurface eigenmode profiles through magnetic resonance imaging. The approach offers a practical, nonperturbing, rapid means of imaging the eigenmodes of metasurfaces or volumetric structures, which is significant to obtain insight into the physics of artificial materials in the rf regime.
Y. Mogulkoc, R. Caglayan, and Y.O. Ciftci
Phys. Rev. Applied 16, 024001 (2021) - Published 2 August, 2021
Gopal Niraula, Denilson Toneto, Elma Joshy, Jose A. H. Coaquira, Ahmad I. Ayesh, Flavio Garcia, Diego Muraca, Juliano C. Denardin, Gerardo F. Goya, and Surender K. Sharma
Phys. Rev. Applied 16, 024002 (2021) - Published 2 August, 2021
T. Hajiri, K. Matsuura, K. Sonoda, E. Tanaka, K. Ueda, and H. Asano
Phys. Rev. Applied 16, 024003 (2021) - Published 3 August, 2021
Caitlin M. Crawford, Erik A. Bensen, Haley A. Vinton, and Eric S. Toberer
Phys. Rev. Applied 16, 024004 (2021) - Published 3 August, 2021
J. Zhu, Y. Chen, F. Brinker, W. Decking, S. Tomin, and H. Schlarb
Phys. Rev. Applied 16, 024005 (2021) - Published 3 August, 2021
Jiajie He, Xue Jiang, Hualiang Zhao, Chuanxin Zhang, Yan Zheng, Chengcheng Liu, and Dean Ta
Phys. Rev. Applied 16, 024006 (2021) - Published 4 August, 2021
Sagy Lachmann, Marek Jacewicz, Iaroslava Profatilova, Jan Paszkiewicz, Walter Wuensch, and Yinon Ashkenazy
Phys. Rev. Applied 16, 024007 (2021) - Published 4 August, 2021
A. Chopinaud and J.D. Pritchard
Phys. Rev. Applied 16, 024008 (2021) - Published 5 August, 2021
Jing Xu, Changchun Zhong, Xianjing Zhou, Xu Han, Dafei Jin, Stephen K. Gray, Liang Jiang, and Xufeng Zhang
Phys. Rev. Applied 16, 024009 (2021) - Published 5 August, 2021
Fan Wang, Steven G. Johnson, and Henry O. Everitt
Phys. Rev. Applied 16, 024010 (2021) - Published 6 August, 2021
Jie Yang, Shibo Fang, Yuxuan Peng, Shiqi Liu, Baochun Wu, Ruge Quhe, Shilei Ding, Chen Yang, Jiachen Ma, Bowen Shi, Linqiang Xu, Xiaotian Sun, Guang Tian, Changsheng Wang, Junjie Shi, Jing Lu, and Jinbo Yang
Phys. Rev. Applied 16, 024011 (2021) - Published 6 August, 2021
Zhengwen Cao, Lei Wang, Kexin Liang, Geng Chai, and Jinye Peng
Phys. Rev. Applied 16, 024012 (2021) - Published 6 August, 2021
Heleen Dausy, Lukas Nulens, Bart Raes, Margriet J. Van Bael, and Joris Van de Vondel
Phys. Rev. Applied 16, 024013 (2021) - Published 6 August, 2021
Ruslan Prozorov
Phys. Rev. Applied 16, 024014 (2021) - Published 9 August, 2021
Nikhil JRK Gerard, Mourad Oudich, Zhenpeng Xu, Desheng Yao, Huachen Cui, Christina J. Naify, Alec Ikei, Charles A. Rohde, Xiaoyu (Rayne) Zheng, and Yun Jing
Phys. Rev. Applied 16, 024015 (2021) - Published 9 August, 2021
M. Debbichi, A. Mallah, M. Houcine Dhaou, and S. Lebègue
Phys. Rev. Applied 16, 024016 (2021) - Published 10 August, 2021
Xiao-long Li (李小龙), Ya-ju Li (李亚举), Song-ting Li (李松庭), Mao-ji Zhou (周毛吉), Liang-wen Chen (陈良文), Ju Meng (孟举), Dong-bin Qian (钱东斌), Jie Yang (杨杰), Shao-feng Zhang (张少锋), Yong Wu (吴勇), and Xin-wen Ma (马新文)
Phys. Rev. Applied 16, 024017 (2021) - Published 10 August, 2021
Sumeru Hazra, Anirban Bhattacharjee, Madhavi Chand, Kishor V. Salunkhe, Sriram Gopalakrishnan, Meghan P. Patankar, and R. Vijay
Phys. Rev. Applied 16, 024018 (2021) - Published 11 August, 2021
Shayan Lameh, Tim Zhao, and Derek Stein
Phys. Rev. Applied 16, 024019 (2021) - Published 11 August, 2021
N. Caçoilo, S. Lequeux, B.M.S. Teixeira, B. Dieny, R.C. Sousa, N.A. Sobolev, O. Fruchart, I.L. Prejbeanu, and L.D. Buda-Prejbeanu
Phys. Rev. Applied 16, 024020 (2021) - Published 11 August, 2021
Yan-Ting Liu, Chao-Chung Huang, Kuan-Hao Chen, Yu-Hao Huang, Chia-Chin Tsai, Ting-Yu Chang, and Chi-Feng Pai
Phys. Rev. Applied 16, 024021 (2021) - Published 12 August, 2021
Uwe Niedermayer, Jan Lautenschläger, Thilo Egenolf, and Oliver Boine-Frankenheim
Phys. Rev. Applied 16, 024022 (2021) - Published 12 August, 2021
H.J. Mamin, E. Huang, S. Carnevale, C.T. Rettner, N. Arellano, M.H. Sherwood, C. Kurter, B. Trimm, M. Sandberg, R.M. Shelby, M.A. Mueed, B.A. Madon, A. Pushp, M. Steffen, and D. Rugar
Phys. Rev. Applied 16, 024023 (2021) - Published 13 August, 2021
M. Block, B. Kobrin, A. Jarmola, S. Hsieh, C. Zu, N.L. Figueroa, V.M. Acosta, J. Minguzzi, J.R. Maze, D. Budker, and N.Y. Yao
Phys. Rev. Applied 16, 024024 (2021) - Published 13 August, 2021
Ensembles of nitrogen-vacancy (N-) centers in diamond show promise as versatile electric field sensors, but are limited by noise from an inhomogeneous internal charge environment. Here researchers develop a scheme for optically enhanced electrometry that improves N- sensitivity to external electric fields, especially at low temperatures. They also implement a complementary method for experimentally extracting the color center’s excited-state electric field susceptibilities, and they provide a simple scaling theory for optimizing the density of N- defects in electrometry applications.
John L. Orrell and Ben Loer
Phys. Rev. Applied 16, 024025 (2021) - Published 13 August, 2021
Randy A. Meijer, Ruben Schupp, John Sheil, Mikhail M. Basko, Kjeld S. E. Eikema, Oscar O. Versolato, and Stefan Witte
Phys. Rev. Applied 16, 024026 (2021) - Published 16 August, 2021
Fei-Fei Yan, Zhen-Peng Xu, Qiang Li, Jun-Feng Wang, Ji-Yang Zhou, Wu-Xi Lin, Jin-Shi Xu, Yuyi Wang, Chuan-Feng Li, and Guang-Can Guo
Phys. Rev. Applied 16, 024027 (2021) - Published 16 August, 2021
B. Divinskiy, H. Merbouche, K.O. Nikolaev, S. Michaelis de Vasconcellos, R. Bratschitsch, D. Gouéré, R. Lebrun, V. Cros, J. Ben Youssef, P. Bortolotti, A. Anane, S.O. Demokritov, and V.E. Demidov
Phys. Rev. Applied 16, 024028 (2021) - Published 17 August, 2021
Y.-Y. Liu, L.A. Orona, Samuel F. Neyens, E.R. MacQuarrie, M.A. Eriksson, and A. Yacoby
Phys. Rev. Applied 16, 024029 (2021) - Published 17 August, 2021
Silicon-based spin qubits are of significant interest in quantum information processing, due to their small size and potential for scalability. Implementations have been hindered, though, by the presence of electronic valley degeneracy (which causes spin decoherence) and by silicon’s weak spin-orbit coupling (which necessitates complicated micromagnet fabrication to create a magnetic field gradient). The authors measure the valley spectrum of a double-quantum-dot device, and establish two-axis control of a singlet-triplet qubit using the artificial magnetic field gradient generated by the valley subspace. This carries important ramifications for scaling up silicon-based spin qubits.
Sake Wang, Nguyen T. Hung, Hongyu Tian, Md Shafiqul Islam, and Riichiro Saito
Phys. Rev. Applied 16, 024030 (2021) - Published 17 August, 2021
Yusuf Zuntu Abdullahi, Fatih Ersan, Ethem Akturk, and Olcay Uzengi Akturk
Phys. Rev. Applied 16, 024031 (2021) - Published 18 August, 2021
Valerii I. Kachin and Maxim A. Gorlach
Phys. Rev. Applied 16, 024032 (2021) - Published 18 August, 2021
Xu Qin and Yue Li
Phys. Rev. Applied 16, 024033 (2021) - Published 19 August, 2021
Zhixiong Gong and Michael Baudoin
Phys. Rev. Applied 16, 024034 (2021) - Published 20 August, 2021
Joseph A. Mittelstaedt and Daniel C. Ralph
Phys. Rev. Applied 16, 024035 (2021) - Published 20 August, 2021
Pyry Kivisaari, Mikko Partanen, Toufik Sadi, and Jani Oksanen
Phys. Rev. Applied 16, 024036 (2021) - Published 23 August, 2021
Peng Zhao, Dong Lan, Peng Xu, Guangming Xue, Mace Blank, Xinsheng Tan, Haifeng Yu, and Yang Yu
Phys. Rev. Applied 16, 024037 (2021) - Published 23 August, 2021
Gunta Kunakova, Thilo Bauch, Xavier Palermo, Matteo Salvato, Jana Andzane, Donats Erts, and Floriana Lombardi
Phys. Rev. Applied 16, 024038 (2021) - Published 23 August, 2021
Mingyu Kang, Qiyao Liang, Bichen Zhang, Shilin Huang, Ye Wang, Chao Fang, Jungsang Kim, and Kenneth R. Brown
Phys. Rev. Applied 16, 024039 (2021) - Published 24 August, 2021
Sachin Krishnia, Eloi Haltz, Léo Berges, Lucia Aballe, Michael Foerster, Laura Bocher, Raphaël Weil, André Thiaville, João Sampaio, and Alexandra Mougin
Phys. Rev. Applied 16, 024040 (2021) - Published 24 August, 2021
Gautam Ramola, Richard Winkelmann, Karthik Chandrashekara, Wolfgang Alt, Peng Xu (许鹏), Dieter Meschede, and Andrea Alberti
Phys. Rev. Applied 16, 024041 (2021) - Published 24 August, 2021
Y. Zhang, C. L. Zhong, S. P. Zhu, X. T. He, M. Zepf, and B. Qiao
Phys. Rev. Applied 16, 024042 (2021) - Published 24 August, 2021
Wei Li, Yue Meng, Bauyrzhan K. Primkulov, and Ruben Juanes
Phys. Rev. Applied 16, 024043 (2021) - Published 25 August, 2021
R. Puebla, Y. Ban, J.F. Haase, M.B. Plenio, M. Paternostro, and J. Casanova
Phys. Rev. Applied 16, 024044 (2021) - Published 25 August, 2021
M. Matuszewski, A. Opala, R. Mirek, M. Furman, M. Król, K. Tyszka, T.C.H. Liew, D. Ballarini, D. Sanvitto, J. Szczytko, and B. Piętka
Phys. Rev. Applied 16, 024045 (2021) - Published 25 August, 2021
Jun Zheng, Yang Xiang, Chunlei Li, Ruiyang Yuan, Feng Chi, and Yong Guo
Phys. Rev. Applied 16, 024046 (2021) - Published 25 August, 2021
H. Y. Yuan, Akashdeep Kamra, Dion M. F. Hartmann, and Rembert A. Duine
Phys. Rev. Applied 16, 024047 (2021) - Published 26 August, 2021
A. Litvinenko, P. Sethi, C. Murapaka, A. Jenkins, V. Cros, P. Bortolotti, R. Ferreira, B. Dieny, and U. Ebels
Phys. Rev. Applied 16, 024048 (2021) - Published 26 August, 2021
Researchers present a method of phase modulation and phase-shift keying for spin-torque nano-oscillators (STNOs), and demonstrate transmission of a voice signal (telephony) with their STNO-based gear. The key elements of the proposed method are the ability of an STNO to be synchronized by an external signal, and to shift its phase relative to the source’s phase according to an additional control signal. These properties allow not only control of the phase, but also reduction of phase noise, which is a main issue for all oscillators with nanoscale dimensions. The results comprise a significant advance for wireless data and signal communication with nano-oscillators.
Marc Westig, Holger Thierschmann, Allard Katan, Matvey Finkel, and Teun M. Klapwijk
Phys. Rev. Applied 16, 024049 (2021) - Published 26 August, 2021
Eyob A. Sete, Nicolas Didier, Angela Q. Chen, Shobhan Kulshreshtha, Riccardo Manenti, and Stefano Poletto
Phys. Rev. Applied 16, 024050 (2021) - Published 27 August, 2021
He-Liang Huang, Yuxuan Du, Ming Gong, Youwei Zhao, Yulin Wu, Chaoyue Wang, Shaowei Li, Futian Liang, Jin Lin, Yu Xu, Rui Yang, Tongliang Liu, Min-Hsiu Hsieh, Hui Deng, Hao Rong, Cheng-Zhi Peng, Chao-Yang Lu, Yu-Ao Chen, Dacheng Tao, Xiaobo Zhu, and Jian-Wei Pan
Phys. Rev. Applied 16, 024051 (2021) - Published 27 August, 2021
Quantum machine learning is expected to be among the first practical applications of near-term quantum devices. Whether quantum generative adversarial networks (quantum GANs) implemented on near-term devices can actually solve real-world learning tasks, however, has remained unclear. The authors narrow this knowledge gap by designing a flexible quantum GAN scheme, and realizing this scheme on a superconducting quantum processor. Their system learns and generates images of real-world handwritten numerals, and exhibits competitive performance with classical GANs. This work opens up an avenue for exploring quantum advantage in various machine-learning tasks.
Rui-Qi Zhang, Zhibo Hou, Zihao Li, Huangjun Zhu, Guo-Yong Xiang, Chuan-Feng Li, and Guang-Can Guo
Phys. Rev. Applied 16, 024052 (2021) - Published 27 August, 2021
Varun M.K. and Ravi Pant
Phys. Rev. Applied 16, 024053 (2021) - Published 27 August, 2021
Huan-Ting Shen, Claude Weisbuch, James S. Speck, and Yuh-Renn Wu
Phys. Rev. Applied 16, 024054 (2021) - Published 27 August, 2021
Pieter Gypens, Bartel Van Waeyenberge, Massimiliano Di Ventra, Jonathan Leliaert, and Daniele Pinna
Phys. Rev. Applied 16, 024055 (2021) - Published 30 August, 2021
Yipeng Wu, Jianfei Hua, Zheng Zhou, Jie Zhang, Shuang Liu, Bo Peng, Yu Fang, Xiaonan Ning, Zan Nie, Qili Tian, Chih-Hao Pai, Yingchao Du, Wei Lu, Warren B. Mori, and Chan Joshi
Phys. Rev. Applied 16, 024056 (2021) - Published 30 August, 2021
Nhung H. Nguyen, Muyuan Li, Alaina M. Green, C. Huerta Alderete, Yingyue Zhu, Daiwei Zhu, Kenneth R. Brown, and Norbert M. Linke
Phys. Rev. Applied 16, 024057 (2021) - Published 30 August, 2021
Cheng Li, Bin Fang, Like Zhang, Qian Chen, Xiangnan Xie, Nuo Xu, Zhongming Zeng, Zhenyu Wang, Liang Fang, and Tian Jiang
Phys. Rev. Applied 16, 024058 (2021) - Published 30 August, 2021
Zilun Gong, John Serafini, Fuyi Yang, Stefan Preble, and Jie Yao
Phys. Rev. Applied 16, 024059 (2021) - Published 30 August, 2021
Yang Dong, Shao-Chun Zhang, Yu Zheng, Hao-Bin Lin, Long-Kun Shan, Xiang-Dong Chen, Wei Zhu, Guan-Zhong Wang, Guang-Can Guo, and Fang-Wen Sun
Phys. Rev. Applied 16, 024060 (2021) - Published 31 August, 2021
Jan Peřina Jr., Antonín Černoch, and Jan Soubusta
Phys. Rev. Applied 16, 024061 (2021) - Published 31 August, 2021
Mohammad Hosein Fakheri, Hamid Rajabalipanah, and Ali Abdolali
Phys. Rev. Applied 16, 024062 (2021) - Published 31 August, 2021
Peng Duan, Zi-Feng Chen, Qi Zhou, Wei-Cheng Kong, Hai-Feng Zhang, and Guo-Ping Guo
Phys. Rev. Applied 16, 024063 (2021) - Published 31 August, 2021
Chenbo Zhang, Zhuohui Zeng, Zeyuan Zhu, Nobumichi Tamura, and Xian Chen
Phys. Rev. Applied 16, 024064 (2021) - Published 31 August, 2021
Taishi Furuta, Keisuke Fujii, Kohei Nakajima, Sumito Tsunegi, Hitoshi Kubota, Yoshishige Suzuki, and Shinji Miwa
Phys. Rev. Applied 16, 029901 (2021) - Published 10 August, 2021