Recent Articles

Ultrastrong Capacitive Coupling of Flux Qubits

María Hita-Pérez, Gabriel Jaumà, Manuel Pino, and Juan José García-Ripoll

Phys. Rev. Applied 17, 014028 (2022) - Published 24 January, 2022

Combined Ferroelastic and Optical Control of Electronic Transport in Mott-Oxide–Ferroelectric Heterostructures

Ming Zheng, Pengfei Guan, Xiang Ji, and Litong Guo

Phys. Rev. Applied 17, 014027 (2022) - Published 24 January, 2022

Acoustic Subwavelength Manipulation of Particles with a Quasiperiodic Plate

Yang Wang, Licheng Luo, Manzhu Ke, and Zhengyou Liu

Phys. Rev. Applied 17, 014026 (2022) - Published 21 January, 2022

Simple Multiuser Twin-Field Quantum Key Distribution Network

Xiaoqing Zhong, Wenyuan Wang, Reem Mandil, Hoi-Kwong Lo, and Li Qian

Phys. Rev. Applied 17, 014025 (2022) - Published 21 January, 2022

Meet Alice, Bob, and David. Establishing secure encryption keys between any two of these users is important for a long-range communication network, but with dubious Charlie also around, it becomes tricky. Twin-field quantum key distribution (TFQKD), while promising for this application, has been limited so far to two users, because of its requirement for phase stability of optical signals. In this work, the authors demonstrate a TFQKD network by connecting three users in a Sagnac fiber ring, a configuration with inherent phase stability. This experiment suggests that the Sagnac TFQKD system is an effective, practical approach to implementing a long-range secure communication network.

Deep-Neural-Network Discrimination of Multiplexed Superconducting-Qubit States

Benjamin Lienhard, Antti Vepsäläinen, Luke C.G. Govia, Cole R. Hoffer, Jack Y. Qiu, Diego Ristè, Matthew Ware, David Kim, Roni Winik, Alexander Melville, Bethany Niedzielski, Jonilyn Yoder, Guilhem J. Ribeill, Thomas A. Ohki, Hari K. Krovi, Terry P. Orlando, Simon Gustavsson, and William D. Oliver

Phys. Rev. Applied 17, 014024 (2022) - Published 20 January, 2022

Assessment of Photon Recycling in Perovskite Solar Cells by Fully Coupled Optoelectronic Simulation

Simon Zeder, Beat Ruhstaller, and Urs Aeberhard

Phys. Rev. Applied 17, 014023 (2022) - Published 20 January, 2022

SENSEI: Characterization of Single-Electron Events Using a Skipper Charge-Coupled Device

Liron Barak, Itay M. Bloch, Ana Botti, Mariano Cababie, Gustavo Cancelo, Luke Chaplinsky, Fernando Chierchie, Michael Crisler, Alex Drlica-Wagner, Rouven Essig, Juan Estrada, Erez Etzion, Guillermo Fernandez Moroni, Daniel Gift, Stephen E. Holland, Sravan Munagavalasa, Aviv Orly, Dario Rodrigues, Aman Singal, Miguel Sofo Haro, Leandro Stefanazzi, Javier Tiffenberg, Sho Uemura, Tomer Volansky, and Tien-Tien Yu ( SENSEI Collaboration )

Phys. Rev. Applied 17, 014022 (2022) - Published 19 January, 2022

Measurement and Simulation of the Magnetic Fields from a 555 Timer Integrated Circuit Using a Quantum Diamond Microscope and Finite-Element Analysis

P. Kehayias, E. V. Levine, L. Basso, J. Henshaw, M. Saleh Ziabari, M. Titze, R. Haltli, J. Okoro, D. R. Tibbetts, D. M. Udoni, E. Bielejec, M. P. Lilly, T.-M. Lu, P. D. D. Schwindt, and A. M. Mounce

Phys. Rev. Applied 17, 014021 (2022) - Published 19 January, 2022

Magnetometamaterials: Metamaterials with Tunable Magnetic Matter Conductivity

Roozbeh Abedini-Nassab

Phys. Rev. Applied 17, 014020 (2022) - Published 18 January, 2022

Linewidth Broadening in Short-Wavelength Quantum Cascade Lasers

Andrzej Kolek, Grzegorz Hałdaś, Piotr Gutowski, Grzegorz Sobczak, Dorota Pierścińska, and Maciej Bugajski

Phys. Rev. Applied 17, 014019 (2022) - Published 18 January, 2022

Effects of Nonmagnetic Impurities and Subgap States on the Kinetic Inductance, Complex Conductivity, Quality Factor, and Depairing Current Density

Takayuki Kubo

Phys. Rev. Applied 17, 014018 (2022) - Published 14 January, 2022

Absorption and Scattering by a Temporally Switched Lossy Layer: Going beyond the Rozanov Bound

Chen Firestein, Amir Shlivinski, and Yakir Hadad

Phys. Rev. Applied 17, 014017 (2022) - Published 13 January, 2022

Hardware-Aware In Situ Learning Based on Stochastic Magnetic Tunnel Junctions

Jan Kaiser, William A. Borders, Kerem Y. Camsari, Shunsuke Fukami, Hideo Ohno, and Supriyo Datta

Phys. Rev. Applied 17, 014016 (2022) - Published 13 January, 2022

By its nature, a conventional computer based on deterministic bits is ill-matched to tasks such as sampling, inference, and optimization. A probabilistic computer can be a natural tool for problems which are at base probabilistic. Unstable magnetic tunnel junctions (MTJs) provide compact, energy-efficient adjustable random-number generators for probabilistic computing, but an important practical concern is device variability. The authors show experimentally that even nonideal MTJs can function properly when utilizing in situ Boltzmann machine learning. The learning circuit here could be of interest for standalone devices capable of fast, efficient learning at the edge.

Wafer-Scale and Topologically Nontrivial α-Sn Films Grown on InSb(001) by Molecular-Beam Epitaxy

Yuanfeng Ding, Huanhuan Song, Junwei Huang, Jinshan Yao, Yu Gu, Lian Wei, Y. B. Chen, Yu Deng, Hongtao Yuan, Hong Lu, and Yan-Feng Chen

Phys. Rev. Applied 17, 014015 (2022) - Published 12 January, 2022

Characterizing Midcircuit Measurements on a Superconducting Qubit Using Gate Set Tomography

Kenneth Rudinger, Guilhem J. Ribeill, Luke C.G. Govia, Matthew Ware, Erik Nielsen, Kevin Young, Thomas A. Ohki, Robin Blume-Kohout, and Timothy Proctor

Phys. Rev. Applied 17, 014014 (2022) - Published 12 January, 2022

Key applications of quantum computing, including error correction, rely critically on the capability to measure (read out) the state of selected quantum bits, without disturbing other qubits or terminating the computation. Such midcircuit measurements are now being implemented in a few cutting-edge platforms, but their development is hindered by lack of a means to measure their performance and characterize the errors that they produce. The authors show how to extend a popular tomography method for precise characterization of midcircuit measurements, and using their QILGST protocol discover a pernicious kind of non-Markovian error, which once identified can be handled.

Antisymmetric Magnetoresistance due to Domain-Wall Tilting in Perpendicularly Magnetized Films

Yangtao Su, Yang Meng, Haibin Shi, Li Wang, Xinyu Cao, Ying Zhang, Runwei Li, and Hongwu Zhao

Phys. Rev. Applied 17, 014013 (2022) - Published 11 January, 2022

Microfluidic Surface Shields: Control of Flow and Diffusion over Sensitive Surfaces

Oscar Boyadjian, Etienne Boulais, and Thomas Gervais

Phys. Rev. Applied 17, 014012 (2022) - Published 11 January, 2022

Skyrmion Dynamics in the Presence of Deformation

Zehan Chen, Xichao Zhang, Yan Zhou, and Qiming Shao

Phys. Rev. Applied 17, L011002 (2022) - Published 10 January, 2022

The nonlinear dynamics of current-driven skyrmions are essential for designing skyrmion-based spintronic devices. However, Thiele’s approach uses a rigid-body assumption that is not suitable here, as skyrmions may change shape at high speeds. This study extends Thiele’s equation by including the radial and tangential force components. With this approach, one may depict the inner structure of a current-driven skyrmion and propose a way to suppress deformation with an in-plane magnetic field. This extended analytic formulation may help to describe the nonlinear dynamics of other spin textures as well, and to promote applications based on such dynamics.

(La,Ba)SnO3-based Thin-Film Transistors: Large-Signal Model and Scaling Projections

Fabrizio Mazziotti, Demetrio Logoteta, and Giuseppe Iannaccone

Phys. Rev. Applied 17, 014011 (2022) - Published 10 January, 2022

Entanglement-Assisted Absorption Spectroscopy by Hong-Ou-Mandel Interference

Yuanyuan Chen, Qian Shen, Song Luo, Long Zhang, Zhanghai Chen, and Lixiang Chen

Phys. Rev. Applied 17, 014010 (2022) - Published 7 January, 2022

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