Hoyeong Kwon and Andrea Alù
Phys. Rev. Applied 21, 034060 (2024) - Published 28 March, 2024
A proposed ring-shaped device could measure the concentration of glucose in a person’s blood to an accuracy sufficient to make it clinically useful.
Hugh Morison, Jagmeet Singh, Nayem Al Kayed, A. Aadhi, Maryam Moridsadat, Marcus Tamura, Alexander N. Tait, and Bhavin J. Shastri
Phys. Rev. Applied 21, 034013 (2024) - Published 8 March, 2024
Recurrent neural networks based on silicon photonics can take on a wide range of dynamical features at high bandwidth, but experimental demonstrations are being held back by of the lack of a physical-level simulation platform that accounts for parasitic effects. This study uses photonic Verilog-A models to demonstrate characteristic neural dynamics. Simulation reveals that these dynamics exhibit a topological equivalence to the continuous-time recurrent-neural-network model.
Alon Herman and Gideon Segev
Phys. Rev. Applied 21, 034056 (2024) - Published 26 March, 2024
Artificial active membranes that drive ions up a concentration gradient could pave the way to breakthroughs in numerous fields. This work analyzes the performance of a membrane that utilizes a “flashing” ratchet mechanism to pump ions, accounting for all essential mechanisms governing charge transport. Surprisingly, although driven by electrical fields, both cations and anions are transported in the same direction. This makes the membrane an excellent candidate for distributed water desalination and biomedical applications.
Nhat-Tan Phan, Nitin Prasad, Abderrazak Hakam, Ahmed Sidi El Valli, Lorena Anghel, Luana Benetti, Advait Madhavan, Alex S. Jenkins, Ricardo Ferreira, Mark D. Stiles, Ursula Ebels, and Philippe Talatchian
Phys. Rev. Applied 21, 034063 (2024) - Published 29 March, 2024
Unbiased sources of true randomness are crucial for the next generation of encryption applications and stochastic computing in various fields, yet achieving such randomness without bias has remained technically challenging. This study introduces an innovative hardware approach, utilizing the intrinsic balance of phase noise in a spintronic nano-oscillator synchronized at twice its natural frequency to overcome bias in random bitstream generation at room temperature. The method generates truly random bitstreams with efficiency and reliability that is expected to significantly impact cybersecurity, advanced computing, and more.
Sidra Gibeault, Temitayo N. Adeyeye, Liam A. Pocher, Daniel P. Lathrop, Matthew W. Daniels, Mark D. Stiles, Jabez J. McClelland, William A. Borders, Jason T. Ryan, Philippe Talatchian, Ursula Ebels, and Advait Madhavan
Phys. Rev. Applied 21, 034064 (2024) - Published 29 March, 2024
Recent probabilistic computing frameworks have used a microprocessors-in-the-loop approach to sensing output signals and applying control voltages. Here the authors study the dynamics of an analog, two-spin Ising computer built from superparamagnetic tunnel junctions (SMTJs). The op-amp-based circuit features polarity selection and programmable gain, allowing both positive and negative coupling and the performance of simulated annealing. While scaling of this design requires only trivial circuit modifications, large networks of spins would require SMTJs with enhanced properties, suggesting that a co-design approach between devices, architectures, and algorithms is necessary.
Tingyu Zhang, Hiroyuki Tajima, and Haozhao Liang
Phys. Rev. Applied 21, L031001 (2024) - Published 1 March, 2024
While spin transport plays an important role in fundamental physics as well as spintronics applications, the spin-flip tunneling process associated with magnon transport remains elusive in ultracold Fermi gases. This study propose a method for detecting spin-flip tunneling via the Fano factor, which is defined as the noise-to-current ratio and is proportional to the effective charge of carriers. The authors show that the tunneling channel can be altered by tuning either the interaction strength or the potential barrier. This result could strongly impact the study of spin-transport phenomena, and our understanding of quantum transport in strongly interacting systems.
Dennis Wilken, Jonas Junker, and Michèle Heurs
Phys. Rev. Applied 21, L031002 (2024) - Published 4 March, 2024
Broadband, high-frequency squeezed light sources offer vast scaling potential in quantum information. However, broadband and efficient homodyne detectors must first be found, to efficiently utilize this potential. Departing from the common wisdom that homodyning requires balanced detection, the authors simultaneously measure 18 teeth of an 11-dB squeezing frequency comb on an unbalanced photodetector, over a multigigahertz bandwidth. This approach demonstrates that it is worth questioning the necessity of balanced homodyne detection in high-speed quantum optics.
Bowen Yang, Yuhan Yan, Xuejie Li, Ling Xiao, Xiaolin Li, L.Q. Chen, Jianliao Deng, and Huadong Cheng
Phys. Rev. Applied 21, L031003 (2024) - Published 6 March, 2024
Rydberg microwave electrometry has attracted great attention, due to its potential application in radar and communication, but simultaneously achieving high sensitivity and broad instantaneous bandwidth remains a challenge. This study demonstrates an enhanced instantaneous bandwidth of ±10.2 MHz with sensitivity of 62 nV cm Hz by the amplification of one sideband wave in the six-wave-mixing process of a Rydberg superheterodyne receiver.
Makoto Tsuneto, Ran Jing, Xinzhong Chen, Sahal Kaushik, Juntao Yao, Dmitri E. Kharzeev, Xu Du, Qiang Li, and Mengkun Liu
Phys. Rev. Applied 21, 034001 (2024) - Published 1 March, 2024
M. Lagrée, M. Jeannin, G. Quinchard, S. Pes, A. Evirgen, A. Delga, V. Trinité, and R. Colombelli
Phys. Rev. Applied 21, 034002 (2024) - Published 1 March, 2024
Ugo Marzolino
Phys. Rev. Applied 21, 034003 (2024) - Published 4 March, 2024
Haowei Shi, Bingzhi Zhang, Jeffrey H. Shapiro, Zheshen Zhang, and Quntao Zhuang
Phys. Rev. Applied 21, 034004 (2024) - Published 4 March, 2024
Hong Jie Ng, Wen Yu Kon, Ignatius William Primaatmaja, Chao Wang, and Charles Lim
Phys. Rev. Applied 21, 034005 (2024) - Published 5 March, 2024
Shoichi Okaba, Ryoto Takeuchi, Shigenori Tsuji, and Hidetoshi Katori
Phys. Rev. Applied 21, 034006 (2024) - Published 5 March, 2024
Huichun Peng and Jun Mei
Phys. Rev. Applied 21, 034007 (2024) - Published 5 March, 2024
Walter Orellana and Roberto H. Miwa
Phys. Rev. Applied 21, 034008 (2024) - Published 6 March, 2024
Dushuo Feng, Zhihao Guan, Xiaoping Wu, Yan Wu, and Changsheng Song
Phys. Rev. Applied 21, 034009 (2024) - Published 6 March, 2024
Asuka Igarashi, Tadashi Kadowaki, and Shiro Kawabata
Phys. Rev. Applied 21, 034010 (2024) - Published 7 March, 2024
Fan Zhang, Asmaul Smitha Rashid, Mostafa Tanhayi Ahari, George J. de Coster, Takashi Taniguchi, Kenji Watanabe, Matthew J. Gilbert, Nitin Samarth, and Morteza Kayyalha
Phys. Rev. Applied 21, 034011 (2024) - Published 8 March, 2024
Alexander N. Craddock, Yang Wang, Felipe Giraldo, Rourke Sekelsky, Mael Flament, and Mehdi Namazi
Phys. Rev. Applied 21, 034012 (2024) - Published 8 March, 2024
Hugh Morison, Jagmeet Singh, Nayem Al Kayed, A. Aadhi, Maryam Moridsadat, Marcus Tamura, Alexander N. Tait, and Bhavin J. Shastri
Phys. Rev. Applied 21, 034013 (2024) - Published 8 March, 2024
Recurrent neural networks based on silicon photonics can take on a wide range of dynamical features at high bandwidth, but experimental demonstrations are being held back by of the lack of a physical-level simulation platform that accounts for parasitic effects. This study uses photonic Verilog-A models to demonstrate characteristic neural dynamics. Simulation reveals that these dynamics exhibit a topological equivalence to the continuous-time recurrent-neural-network model.
Salvatore Virzì, Laura T. Knoll, Alessio Avella, Fabrizio Piacentini, Stefano Gherardini, Marco Gramegna, Gershon Kurizki, Abraham G. Kofman, Ivo Pietro Degiovanni, Marco Genovese, and Filippo Caruso
Phys. Rev. Applied 21, 034014 (2024) - Published 8 March, 2024
Junmei Cao, Hongyu Ma, Shuhuan Xie, Jiayan Li, Yong Li, and Qian Cheng
Phys. Rev. Applied 21, 034015 (2024) - Published 8 March, 2024
Megan Havers, Thierry Baasch, Andreas Lenshof, Mikael Evander, and Thomas Laurell
Phys. Rev. Applied 21, 034016 (2024) - Published 11 March, 2024
Daria O. Ignatyeva, Denis M. Krichevsky, Dolendra Karki, Anton Kolosvetov, Polina E. Zimnyakova, Alexander N. Shaposhnikov, Vladimir N. Berzhansky, Miguel Levy, Alexander I. Chernov, and Vladimir I. Belotelov
Phys. Rev. Applied 21, 034017 (2024) - Published 11 March, 2024
Toshinari Itoko, Moein Malekakhlagh, Naoki Kanazawa, and Maika Takita
Phys. Rev. Applied 21, 034018 (2024) - Published 11 March, 2024
G. Bel and M.M. Bandi
Phys. Rev. Applied 21, 034019 (2024) - Published 12 March, 2024
Yifan Tang, Bin Liang, Xuefeng Zhu, and Shuyu Lin
Phys. Rev. Applied 21, 034020 (2024) - Published 12 March, 2024
Chun-Yu Li, Si-Jia Liu, Hai-Jun Wu, Jia-Qi Jiang, Bo Zhao, Carmelo Rosales-Guzmán, Zhi-Han Zhu, Peng Chen, and Yan-Qing Lu
Phys. Rev. Applied 21, 034021 (2024) - Published 12 March, 2024
Rong-Long Ma, Sheng-Kai Zhu, Zhen-Zhen Kong, Tai-Ping Sun, Ming Ni, Yu-Chen Zhou, Yuan Zhou, Gang Luo, Gang Cao, Gui-Lei Wang, Hai-Ou Li, and Guo-Ping Guo
Phys. Rev. Applied 21, 034022 (2024) - Published 13 March, 2024
Elijah Pelofske
Phys. Rev. Applied 21, 034023 (2024) - Published 13 March, 2024
M. Morvaridi, F. Bosia, M. Brun, V.F. Dal Poggetto, A.S. Gliozzi, M. Miniaci, C. Croënne, N.M. Pugno, and G. Carta
Phys. Rev. Applied 21, 034024 (2024) - Published 13 March, 2024
Di-Chao Chen, Hao-Yue Zhu, Da-Jian Wu, Xing-Feng Zhu, Ying Cheng, and Xiao-Jun Liu
Phys. Rev. Applied 21, 034025 (2024) - Published 14 March, 2024
Hao Wu, Hailong He, Ze Dong, Liping Ye, Weiyin Deng, Manzhu Ke, and Zhengyou Liu
Phys. Rev. Applied 21, 034026 (2024) - Published 14 March, 2024
Ke-Hui Yu, Xiao-Yang Jiao, and Li-Jing Jin
Phys. Rev. Applied 21, 034027 (2024) - Published 14 March, 2024
Shuoke Xu, Xikui Ma, Kehan Liu, and Mingwen Zhao
Phys. Rev. Applied 21, 034028 (2024) - Published 15 March, 2024
Ming-Yuan Gao, Yin-Hai Li, Zhao-Qi-Zhi Han, Qiang Zhou, Guang-Can Guo, Zhi-Yuan Zhou, and Bao-Sen Shi
Phys. Rev. Applied 21, 034029 (2024) - Published 15 March, 2024
Samuel Corona-Aquino, Zeferino Ibarra-Borja, Omar Calderón-Losada, Bruno Piccirillo, Verónica Vicuña-Hernández, Tonatiuh Moctezuma-Quistian, Hector Cruz-Ramírez, Dorilian Lopez-Mago, and Alfred B. U’Ren
Phys. Rev. Applied 21, 034030 (2024) - Published 15 March, 2024
Zezhou Xia, Jierong Huo, Zonglin Li, Jianghua Ying, Yulong Liu, Xin-Yi Tang, Yuqing Wang, Mo Chen, Dong Pan, Shan Zhang, Qichun Liu, Tiefu Li, Lin Li, Ke He, Jianhua Zhao, Runan Shang, and Hao Zhang
Phys. Rev. Applied 21, 034031 (2024) - Published 18 March, 2024
M. Müller, J. Weber, S.T.B. Goennenwein, S. Viola Kusminskiy, R. Gross, M. Althammer, and H. Huebl
Phys. Rev. Applied 21, 034032 (2024) - Published 18 March, 2024
Sebastián V. Romero, Xi Chen, Gloria Platero, and Yue Ban
Phys. Rev. Applied 21, 034033 (2024) - Published 18 March, 2024
Yuzan Xiong, Andrew Christy, Yun Dong, Andrew H. Comstock, Dali Sun, Yi Li, James F. Cahoon, Binbin Yang, and Wei Zhang
Phys. Rev. Applied 21, 034034 (2024) - Published 18 March, 2024
Xueqian Wang, Chuanbao Liu, Lijie Qiao, Ji Zhou, Yang Bai, and Jingbo Sun
Phys. Rev. Applied 21, 034035 (2024) - Published 19 March, 2024
Qi-Ming Ding, Yi-Ming Huang, and Xiao Yuan
Phys. Rev. Applied 21, 034036 (2024) - Published 19 March, 2024
Yang Liu, Zhinan Jiang, Lina Ding, Yonggang Yang, Tiantian Guan, Chaochao Qin, and Yufang Liu
Phys. Rev. Applied 21, 034037 (2024) - Published 19 March, 2024
Boyuan Chi, Leina Jiang, Yu Zhu, Guoqiang Yu, Caihua Wan, Jia Zhang, and Xiufeng Han
Phys. Rev. Applied 21, 034038 (2024) - Published 19 March, 2024
Zonglin Li, Guozheng Nie, Junhui Wang, Fang Zhong, and Shiping Zhan
Phys. Rev. Applied 21, 034039 (2024) - Published 20 March, 2024
Kenji Nawa, Andi Gumarilang, Takahiro Moriyama, and Kohji Nakamura
Phys. Rev. Applied 21, 034040 (2024) - Published 20 March, 2024
V.M. Muravev, K.R. Dzhikirba, M.S. Sokolova, A.S. Astrakhantseva, and I.V. Kukushkin
Phys. Rev. Applied 21, 034041 (2024) - Published 20 March, 2024
Bowen Shao, Xiaodong Yang, Ran Liu, Yue Zhai, Dawei Lu, Tao Xin, and Jun Li
Phys. Rev. Applied 21, 034042 (2024) - Published 20 March, 2024
Zhenyi Lu, Xiangru Chen, Yejian Hu, Jien Wu, Jiuyang Lu, Xueqin Huang, Weiyin Deng, and Zhengyou Liu
Phys. Rev. Applied 21, 034043 (2024) - Published 21 March, 2024
Qichen Song, Sorren Warkander, and Samuel C. Huberman
Phys. Rev. Applied 21, 034044 (2024) - Published 21 March, 2024
Shanshan He, Yichang Shou, Dingyu Xu, Qiang Yang, Jiawei Liu, Shizhen Chen, and Hailu Luo
Phys. Rev. Applied 21, 034045 (2024) - Published 21 March, 2024
Clemens Spinnler, Giang N. Nguyen, Ying Wang, Marcel Erbe, Alisa Javadi, Liang Zhai, Sven Scholz, Andreas D. Wieck, Arne Ludwig, Peter Lodahl, Leonardo Midolo, and Richard J. Warburton
Phys. Rev. Applied 21, 034046 (2024) - Published 21 March, 2024
Asaf Farhi
Phys. Rev. Applied 21, 034047 (2024) - Published 22 March, 2024
Chengxin Deng, Yiqin Yang, Jin Li, Xu Zhang, Yingjian Yu, Qiao Lu, and Hai Yang
Phys. Rev. Applied 21, 034048 (2024) - Published 22 March, 2024
Romane Le Dizès Castell, Leo Pel, Tinhinane Chekai, Hannelore Derluyn, Mario Scheel, Sara Jabbari-Farouji, and Noushine Shahidzadeh
Phys. Rev. Applied 21, 034049 (2024) - Published 22 March, 2024
Zhi-Xin Meng (孟至欣), Pei-Qiang Yan (颜培强), Sheng-Zhe Wang (王圣哲), Xiao-Jie Li (李晓杰), Hong-Bo Xue (薛洪波), and Yan-Ying Feng (冯焱颖)
Phys. Rev. Applied 21, 034050 (2024) - Published 22 March, 2024
Matthias Maiberg, Chang-Yun Song, Marcin Morawski, Felix Neduck, Heiko Kempa, Joshua Damm, Dimitrios Hariskos, Wolfram Witte, and Roland Scheer
Phys. Rev. Applied 21, 034051 (2024) - Published 25 March, 2024
Yu Zhang, Yan-Qing Zhu, Jianwen Xu, Wen Zheng, Dong Lan, Giandomenico Palumbo, Nathan Goldman, Shi-Liang Zhu, Xinsheng Tan, Z.D. Wang, and Yang Yu
Phys. Rev. Applied 21, 034052 (2024) - Published 25 March, 2024
Amélie Piveteau, Alastair A. Abbott, Sadiq Muhammad, Mohamed Bourennane, and Armin Tavakoli
Phys. Rev. Applied 21, 034053 (2024) - Published 25 March, 2024
Michał Lipka, Aleksandra Sierant, Charikleia Troullinou, and Morgan W. Mitchell
Phys. Rev. Applied 21, 034054 (2024) - Published 26 March, 2024
Kaiyong He, Qing Yu, Liangliang Yang, Yongcheng He, Jianshe Liu, and Wei Chen
Phys. Rev. Applied 21, 034055 (2024) - Published 26 March, 2024
Alon Herman and Gideon Segev
Phys. Rev. Applied 21, 034056 (2024) - Published 26 March, 2024
Artificial active membranes that drive ions up a concentration gradient could pave the way to breakthroughs in numerous fields. This work analyzes the performance of a membrane that utilizes a “flashing” ratchet mechanism to pump ions, accounting for all essential mechanisms governing charge transport. Surprisingly, although driven by electrical fields, both cations and anions are transported in the same direction. This makes the membrane an excellent candidate for distributed water desalination and biomedical applications.
Xin Pan, Dipak Raj Khanal, Ohyun Kwon, and Zeev Valy Vardeny
Phys. Rev. Applied 21, 034057 (2024) - Published 27 March, 2024
Jun Li, C.-M. Hu, and Yaping Yang
Phys. Rev. Applied 21, 034058 (2024) - Published 27 March, 2024
Xin Wang, Bo Qi, Yabo Wang, and Daoyi Dong
Phys. Rev. Applied 21, 034059 (2024) - Published 27 March, 2024
Hoyeong Kwon and Andrea Alù
Phys. Rev. Applied 21, 034060 (2024) - Published 28 March, 2024
A proposed ring-shaped device could measure the concentration of glucose in a person’s blood to an accuracy sufficient to make it clinically useful.
Deyi Kong, Jun Xu, and Fei Wang
Phys. Rev. Applied 21, 034061 (2024) - Published 28 March, 2024
Chai Hu, Taige Liu, Kewei Liu, Zhe Wang, Mao Ye, Jiashuo Shi, and Xinyu Zhang
Phys. Rev. Applied 21, 034062 (2024) - Published 28 March, 2024
Nhat-Tan Phan, Nitin Prasad, Abderrazak Hakam, Ahmed Sidi El Valli, Lorena Anghel, Luana Benetti, Advait Madhavan, Alex S. Jenkins, Ricardo Ferreira, Mark D. Stiles, Ursula Ebels, and Philippe Talatchian
Phys. Rev. Applied 21, 034063 (2024) - Published 29 March, 2024
Unbiased sources of true randomness are crucial for the next generation of encryption applications and stochastic computing in various fields, yet achieving such randomness without bias has remained technically challenging. This study introduces an innovative hardware approach, utilizing the intrinsic balance of phase noise in a spintronic nano-oscillator synchronized at twice its natural frequency to overcome bias in random bitstream generation at room temperature. The method generates truly random bitstreams with efficiency and reliability that is expected to significantly impact cybersecurity, advanced computing, and more.
Sidra Gibeault, Temitayo N. Adeyeye, Liam A. Pocher, Daniel P. Lathrop, Matthew W. Daniels, Mark D. Stiles, Jabez J. McClelland, William A. Borders, Jason T. Ryan, Philippe Talatchian, Ursula Ebels, and Advait Madhavan
Phys. Rev. Applied 21, 034064 (2024) - Published 29 March, 2024
Recent probabilistic computing frameworks have used a microprocessors-in-the-loop approach to sensing output signals and applying control voltages. Here the authors study the dynamics of an analog, two-spin Ising computer built from superparamagnetic tunnel junctions (SMTJs). The op-amp-based circuit features polarity selection and programmable gain, allowing both positive and negative coupling and the performance of simulated annealing. While scaling of this design requires only trivial circuit modifications, large networks of spins would require SMTJs with enhanced properties, suggesting that a co-design approach between devices, architectures, and algorithms is necessary.
J. Kalin, S. Sievers, H.W. Schumacher, R. Abram, H. Füser, M. Bieler, D. Kalin, A. Bauer, and C. Pfleiderer
Phys. Rev. Applied 21, 034065 (2024) - Published 29 March, 2024
Shen Zhang, Qi Shen, Lei Hou, Jian-Yu Guan, Shengkai Liao, Qiang Zhang, and Hai-Feng Jiang
Phys. Rev. Applied 21, 034066 (2024) - Published 29 March, 2024
Joe Bentley, Hendra Nurdin, Yanbei Chen, Xiang Li, and Haixing Miao
Phys. Rev. Applied 21, 039901 (2024) - Published 14 March, 2024
