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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

Multiplexed Sensing of Magnetic Field and Temperature in Real Time Using a Nitrogen-Vacancy Ensemble in Diamond

Jeong Hyun Shim, Seong-Joo Lee, Santosh Ghimire, Ju Il Hwang, Kwang-Geol Lee, Kiwoong Kim, Matthew J. Turner, Connor A. Hart, Ronald L. Walsworth, and Sangwon Oh

Phys. Rev. Applied 17, 014009 (2022) - Published 7 January, 2022

Tailoring Wavelength- and Emitter-Orientation-Dependent Propagation of Single Photons in Silicon Nanowires

Mélodie Humbert, Peter R. Wiecha, Gérard Colas des Francs, Xiao Yu, Nicolas Mallet, Aurélie Lecestre, Guilhem Larrieu, Vincent Larrey, Frank Fournel, Laurence Ressier, Christian Girard, Vincent Paillard, and Aurélien Cuche

Phys. Rev. Applied 17, 014008 (2022) - Published 6 January, 2022

Designing the propagation of single quanta at subwavelength scale is of major interest for integrated optical quantum information transfer. This study demonstrates the high potential of crystalline silicon wires with nanometric sections as low-loss nanochannels for quantum nanophotonics. Single photons from N-V centers in nanodiamonds can be guided and spectrally filtered over several micrometers while conserving their quantum statistics. Moreover, these nanowaveguides can be designed so that only light from emitters of specific orientations is efficiently guided, enabling quantum state selectivity and modal control of single-photon transfer in subwavelength waveguides.

Photodriven Self-Excited Hydrogel Oscillators

Chen Xuan, Yu Zhou, Yusen Zhao, Ximin He, and Lihua Jin

Phys. Rev. Applied 17, 014007 (2022) - Published 6 January, 2022

Self-excitation of smart materials that respond to stimuli is important for building soft robots capable of self-sustainable untethered locomotion. However, in these machines the sophisticated interaction and energy flow between materials and stimuli are not well understood. The authors study a self-excited hydrogel cantilever oscillator irradiated by constant light, and find that the synergy between the photoinduced moment and oscillation ensures positive work input into the cantilever to overcome damping. Scaling analysis of the energy flow of the system reveals how the stable oscillation amplitude is governed by various geometric and material parameters.

Ising Machine Based on Electrically Coupled Spin Hall Nano-Oscillators

Brooke C. McGoldrick, Jonathan Z. Sun, and Luqiao Liu

Phys. Rev. Applied 17, 014006 (2022) - Published 5 January, 2022

Second-Scale 9Be+ Spin Coherence in a Compact Penning Trap

Brian J. McMahon and Brian C. Sawyer

Phys. Rev. Applied 17, 014005 (2022) - Published 5 January, 2022

Collision-Sensitive Spin Noise

Shiming Song, Min Jiang, Yushu Qin, Yu Tong, Wenzhe Zhang, Xi Qin, Ren-Bao Liu, and Xinhua Peng

Phys. Rev. Applied 17, L011001 (2022) - Published 4 January, 2022

Collision phenomena are important in determining the structures and interactions of atoms and molecules. A broad concern is how to investigate collisions in situ under wide-ranging experimental conditions. To this end, the authors develop a spin-noise spectroscopic approach to measure key collision parameters in alkali atoms and inert atoms or molecules. The technique offers broad bandwidth (tens of GHz) and fine resolution (1 ppm), outperforming existing spin-noise methods. This approach is expected to aid research on a great range of collision phenomena under ambient conditions, such as nonperturbative study of cold atom-molecule collisions.

Topological Solitons Make Metamaterials Crawl

Bolei Deng, Mohamed Zanaty, Antonio E. Forte, and Katia Bertoldi

Phys. Rev. Applied 17, 014004 (2022) - Published 4 January, 2022

Topological solitons propagating in mechanical metamaterials point toward potential applications in wave propagation, mechanical logic, and shape morphing. Inspired by the rich physics of topological solitons, researchers show here that this wave phenomenon can be also exploited to make a multistable metamaterial crawl. While previously proposed crawling machines usually require complex control of multiple actuators, this robot can be powered by a single actuator. All features needed for locomotion are embedded in the material and activated by the topological soliton, which here is the boundary between the two flexed forms of mechanical units linked in a chain.

Phase-Binarized Spin Hall Nano-Oscillator Arrays: Towards Spin Hall Ising Machines

Afshin Houshang, Mohammad Zahedinejad, Shreyas Muralidhar, Jakub Chęciński, Roman Khymyn, Mona Rajabali, Himanshu Fulara, Ahmad A. Awad, Mykola Dvornik, and Johan Åkerman

Phys. Rev. Applied 17, 014003 (2022) - Published 3 January, 2022

Material Grain Size Determines Relaxation-Time Distributions in Slow-Dynamics Experiments

J. Kober, A.S. Gliozzi, M. Scalerandi, and M. Tortello

Phys. Rev. Applied 17, 014002 (2022) - Published 3 January, 2022

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