Browse Issues:

HIGHLIGHTED ARTICLES

Generation of arbitrary cylindrical vector beams using mode-converting metasurfaces

Faris Alsolamy and Anthony Grbic

Phys. Rev. Applied 22, 014001 (2024) - Published 1 July, 2024

Recent theoretical developments have demonstrated that the optimal field profile for coupling circular apertures within the Fresnel zone is a generalized cylindrical vector beam (CVB), composed of Bessel beams with different complex weights. However, there has not been a systematic method to generate such generalized CVBs. This study uses mode-converting metasurfaces to control the modal distribution within a cylindrical cavity to generate generalized CVBs, a milestone in the development of next-generation wireless power transfer operating in the Fresnel zone. Furthermore, this method allows exploration of CVBs that can be optimized and tailored for specific applications or functions.

Measurement of fractional charge in elastic plates with disclinations

Meng-Yang Liu, Fei-Yang Sun, Ze-Guo Chen, Zhen Wang, Ming-Hui Lu, and Yan-Feng Chen

Phys. Rev. Applied 22, 014025 (2024) - Published 11 July, 2024

Measuring the local density of states (LDOS) in continuous systems poses substantial challenges. By leveraging the Purcell effect in an elastic wave lattice, the authors achieve discrete, contactless measurements of the LDOS. This study further analyzes the distribution of fractional LDOS across various disclination structures. This method illuminates the exploration of bulk topology by examining LDOS localized at edges or within disclinations. The findings bear promising implications for characterizing topological phases and enhancing control of structural vibration.

Physical reservoir computing and deep neural networks using artificial and natural noncollinear spin textures

Haotian Li, Liyuan Li, Rongxin Xiang, Wei Liu, Chunjie Yan, Zui Tao, Lei Zhang, and Ronghua Liu

Phys. Rev. Applied 22, 014027 (2024) - Published 11 July, 2024

Despite being formidable tools in artificial intelligence, artificial neural networks consume substantial energy during their training phase. This study introduces hardware-based artificial neural networks that utilize artificial and natural noncollinear spin textures, significantly reducing energy consumption and enhancing operational efficiency. The authors demonstrate two such spin-texture-based physical reservoirs, which exhibit robust information-processing capabilities in two nonlinear benchmark tests. Additionally, they implement a direct-feedback-alignment algorithm within hardware, further advancing the efficiency of deep neural networks.

Physics-informed tracking of qubit fluctuations

Fabrizio Berritta, Jan A. Krzywda, Jacob Benestad, Joost van der Heijden, Federico Fedele, Saeed Fallahi, Geoffrey C. Gardner, Michael J. Manfra, Evert van Nieuwenburg, Jeroen Danon, Anasua Chatterjee, and Ferdinand Kuemmeth

Phys. Rev. Applied 22, 014033 (2024) - Published 15 July, 2024

In quantum information science, online Hamiltonian learning emerges as a promising tool to compensate for uncontrolled environmental effects, thereby enhancing qubit quality factors. Several estimation schemes have been proposed to boost learning efficiency, but experimental implementation has been hindered by hardware limitations. Here the authors perform physics-informed, adaptive Bayesian Hamiltonian estimation for a singlet-triplet spin qubit, using a quantum controller powered by a field-programmable gate array. These techniques allow for significantly faster and more accurate real-time tracking of low-frequency noise in solid-state qubits.

Vortex matching at 6 T in YBa2Cu3O7δ thin films by imprinting a 20-nm periodic pinning array with a focused helium-ion beam

Max Karrer, Bernd Aichner, Katja Wurster, César Magén, Christoph Schmid, Robin Hutt, Barbora Budinská, Oleksandr V. Dobrovolskiy, Reinhold Kleiner, Wolfgang Lang, Edward Goldobin, and Dieter Koelle

Phys. Rev. Applied 22, 014043 (2024) - Published 17 July, 2024

Controlled engineering of vortex-pinning sites in cuprate superconductors is a pivotal goal in manufacturing devices based on magnetic flux quanta. This study employs focused helium-ion beams to create ultradense hexagonal arrays of defects in YBa2Cu3O7δ thin films, achieving lattice spacings as small as 20 nm. Efficient pinning by a remarkably high matching field of 6 T is observed from the critical temperature down to 2 K. This research expands the range of temperatures and magnetic fields for exploring vortex matter using regular artificial vortex-pinning landscapes.

Measurement-driven Langevin modeling of superparamagnetic tunnel junctions

Liam A. Pocher, Temitayo N. Adeyeye, Sidra Gibeault, Philippe Talatchian, Ursula Ebels, Daniel P. Lathrop, Jabez J. McClelland, Mark D. Stiles, Advait Madhavan, and Matthew W. Daniels

Phys. Rev. Applied 22, 014057 (2024) - Published 23 July, 2024

Superparamagnetic tunnel junctions (SMTJs) are fundamental elements of many proposed probabilistic computers, but models often fail to capture important statistical features of experimental devices. In particular, the most probable states of real devices are often not the fully magnetized states. The authors develop an efficient, measurement-driven model that agrees with measurements that were not used in the modeling process, including the power-law behavior of dwell-time distributions at subnanosecond timescales. These results open avenues to tackle challenges in modeling high-speed SMTJ circuitry.

Remote sensing of a levitated superconductor with a flux-tunable microwave cavity

Philip Schmidt, Remi Claessen, Gerard Higgins, Joachim Hofer, Jannek J. Hansen, Peter Asenbaum, Martin Zemlicka, Kevin Uhl, Reinhold Kleiner, Rudolf Gross, Hans Huebl, Michael Trupke, and Markus Aspelmeyer

Phys. Rev. Applied 22, 014078 (2024) - Published 30 July, 2024

The authors implement a scheme for sensing magnetic fields using a remotely located dc SQUID embedded in a microwave resonator. This configuration provides a path toward quantum-limited detection of microwave photons. The detector is used to resolve precisely the motion of a magnetically levitated superconducting microsphere. In addition to advancing magnetic field sensing at ultralow temperatures, this innovative platform has the potential to generate and measure nonclassical mechanical states of microgram-scale masses.

Reconfigurable classifier based on spin-torque-driven magnetization switching in electrically connected magnetic tunnel junctions

A. López, J.D. Costa, T. Böhnert, P.P. Freitas, R. Ferreira, I. Barbero, J. Camarero, C. León, J. Grollier, and M. Romera

Phys. Rev. Applied 22, 014082 (2024) - Published 31 July, 2024

A promising branch of neuromorphic computing aims to perform cognitive operations in hardware, leveraging the physics of efficient and well-established nanodevices. This work presents a reconfigurable classifier, based on a network of magnetic tunnel junctions, that can learn to classify spoken vowels. In this task the hardware network surpasses multilayered software neural networks with the same number of trained parameters. These results, obtained using the same devices and working principle employed in industrial spin-transfer-torque magnetic random-access memory, constitute an important step toward the development of large-scale neuromorphic networks based on established technology.

Symmetry and planar chirality measured with a log-polar transformation in a transmission electron microscope

A.H. Tavabi, P. Rosi, R.B.G. Ravelli, A. Gijsbers, E. Rotunno, T. Guner, Y. Zhang, A. Roncaglia, L. Belsito, G. Pozzi, T. Denneulin, G.C. Gazzadi, M. Ghosh, R. Nijland, S. Frabboni, P.J. Peters, E. Karimi, P. Tiemeijer, R.E. Dunin-Borkowski, and V. Grillo

Phys. Rev. Applied 22, 014083 (2024) - Published 31 July, 2024

Chirality can appear at many length scales in nature. In this study the authors introduce planar chirality as a quantitative geometric measure of chirality for two-dimensional objects. They apply this measure to evaluate the chirality of nanometer-sized structures with an electron microscope. They employ an innovative electron-optics device, the orbital-angular-momentum sorter, which applies a log-polar conformal mapping to the electron wave function and reaches near-optimal resolution in orbital angular momentum.

LETTERS

Chiral-damping-enhanced magnon transmission

Xiyin Ye, Ke Xia, Gerrit E. W. Bauer, and Tao Yu

Phys. Rev. Applied 22, L011001 (2024) - Published 30 July, 2024

According to textbooks, the transmission of a (quasi)particle through or over a potential barrier is symmetric, i.e. the same whether incident from the right or left. The authors predict that the conventional wisdom does not hold for magnon transistors with metallic gates, because the chiral damping due to eddy currents asymmetrically suppresses the reflection of magnons by obstacles. Nonreciprocal spin transport based on this effect could be interesting for applications, and the predictions here might be valid for other chiral objects as well.

ARTICLES

Generation of arbitrary cylindrical vector beams using mode-converting metasurfaces

Faris Alsolamy and Anthony Grbic

Phys. Rev. Applied 22, 014001 (2024) - Published 1 July, 2024

Recent theoretical developments have demonstrated that the optimal field profile for coupling circular apertures within the Fresnel zone is a generalized cylindrical vector beam (CVB), composed of Bessel beams with different complex weights. However, there has not been a systematic method to generate such generalized CVBs. This study uses mode-converting metasurfaces to control the modal distribution within a cylindrical cavity to generate generalized CVBs, a milestone in the development of next-generation wireless power transfer operating in the Fresnel zone. Furthermore, this method allows exploration of CVBs that can be optimized and tailored for specific applications or functions.

Polarization of radio-frequency magnetic fields in magnetic induction measurements with an atomic magnetometer

L.M. Rushton, L.M. Ellis, J.D. Zipfel, P. Bevington, and W. Chalupczak

Phys. Rev. Applied 22, 014002 (2024) - Published 1 July, 2024

Optics-assisted enhanced sensing at radio frequencies in an optoelectromechanical system

Najmeh Eshaqi-Sani, Stefano Zippilli, and David Vitali

Phys. Rev. Applied 22, 014003 (2024) - Published 1 July, 2024

Correcting heading errors in optically pumped magnetometers through microwave interrogation

C. Kiehl, T.S. Menon, D.P. Hewatt, S. Knappe, T. Thiele, and C.A. Regal

Phys. Rev. Applied 22, 014005 (2024) - Published 2 July, 2024

Hardware-efficient error-correcting codes for large nuclear spins

Jonathan A. Gross, Clément Godfrin, Alexandre Blais, and Eva Dupont-Ferrier

Phys. Rev. Applied 22, 014006 (2024) - Published 2 July, 2024

Leveraging motional-mode balancing and simply parametrized waveforms to perform frequency-robust entangling gates

Brandon P. Ruzic, Matthew N.H. Chow, Ashlyn D. Burch, Daniel S. Lobser, Melissa C. Revelle, Joshua M. Wilson, Christopher G. Yale, and Susan M. Clark

Phys. Rev. Applied 22, 014007 (2024) - Published 2 July, 2024

Dual-sided charge-coupled devices

Javier Tiffenberg, Daniel Egaña-Ugrinovic, Miguel Sofo Haro, Peizhi Du, Rouven Essig, Guillermo Fernandez-Moroni, and Sho Uemura

Phys. Rev. Applied 22, 014008 (2024) - Published 2 July, 2024

All-photonic artificial-neural-network processor via nonlinear optics

Jasvith Raj Basani, Mikkel Heuck, Dirk R. Englund, and Stefan Krastanov

Phys. Rev. Applied 22, 014009 (2024) - Published 3 July, 2024

Bound states in the continuum induced via local symmetries in complex structures

Cheng-Zhen Wang, Ulrich Kuhl, Adin Dowling, Holger Schanz, and Tsampikos Kottos

Phys. Rev. Applied 22, 014010 (2024) - Published 3 July, 2024

Equation of motion for taut-line buzzers

Alexander J. Gerra, Courtney C. Jones, Sam Dillavou, Jesse M. Hanlan, Julia Radzio, Paulo E. Arratia, and Douglas J. Durian

Phys. Rev. Applied 22, 014011 (2024) - Published 3 July, 2024

Taut-line buzzers with periodic forcing

Jesse M. Hanlan and Douglas J. Durian

Phys. Rev. Applied 22, 014012 (2024) - Published 3 July, 2024

High-speed sensing of rf signals with phase-change materials

Ranjan Kumar Patel, Yifan Yuan, Ravindra Singh Bisht, Ivan Seskar, Narayan Mandayam, and Shriram Ramanathan

Phys. Rev. Applied 22, 014013 (2024) - Published 8 July, 2024

Heisenberg machines with programmable spin circuits

Saleh Bunaiyan, Supriyo Datta, and Kerem Y. Camsari

Phys. Rev. Applied 22, 014014 (2024) - Published 8 July, 2024

Optimized current-density reconstruction from wide-field quantum diamond magnetic field maps

Siddhant Midha, Madhur Parashar, Anuj Bathla, David A. Broadway, Jean-Philippe Tetienne, and Kasturi Saha

Phys. Rev. Applied 22, 014015 (2024) - Published 8 July, 2024

Three-dimensional structure of buried heterointerfaces revealed by multislice ptychography

Colum M. O’Leary, Haozhi Sha, Jianhua Zhang, Cong Su, Salman Kahn, Huaidong Jiang, Alex Zettl, Jim Ciston, and Jianwei Miao

Phys. Rev. Applied 22, 014016 (2024) - Published 8 July, 2024

Multistate magnetic tunnel junction based on a single two-dimensional van der Waals antiferromagnet

Jie Yang, Baochun Wu, Sichun Zhao, Shiqi Liu, Jing Lu, Shunfang Li, and Jinbo Yang

Phys. Rev. Applied 22, 014017 (2024) - Published 9 July, 2024

Ultimate performance of microwave tissue ablation

Sangbin Lee, Jongheon Lee, Ada S.Y. Poon, and Sanghoek Kim

Phys. Rev. Applied 22, 014018 (2024) - Published 9 July, 2024

Parametrization of the charge-carrier mobility in organic disordered semiconductors

S.D. Baranovskii, A.V. Nenashev, D. Hertel, K. Meerholz, and F. Gebhard

Phys. Rev. Applied 22, 014019 (2024) - Published 9 July, 2024

Visible-band polarization-entangled photon source by quantum frequency transduction

Ren-Hui Chen, Su-Jian Niu, Zheng Ge, Zhao-Qi-Zhi Han, Xiao-Hua Wang, Hai Jiang, Zhi-Yuan Zhou, and Bao-Sen Shi

Phys. Rev. Applied 22, 014020 (2024) - Published 9 July, 2024

Resistive switching of VO2 films grown on a thermal insulator

Carl Willem Rischau, Stefano Gariglio, Jean-Marc Triscone, and Javier del Valle

Phys. Rev. Applied 22, 014021 (2024) - Published 10 July, 2024

Schrödinger-type traps for Lamb waves in dynamic potential wells

Xiangen Liu, Zhonghua Shen, and Alexey M. Lomonosov

Phys. Rev. Applied 22, 014022 (2024) - Published 10 July, 2024

Differential ghost imaging with learned modulation patterns

Xiao Wang, Pengxiang Cheng, Huaijian Chen, Shupeng Zhao, Guangdong Ma, Yongchang Zhang, Pei Zhang, Hong Gao, Ruifeng Liu, and Fuli Li

Phys. Rev. Applied 22, 014023 (2024) - Published 10 July, 2024

Electrical trace analysis of superconducting nanowire photon-number-resolving detectors

Timon Schapeler, Niklas Lamberty, Thomas Hummel, Fabian Schlue, Michael Stefszky, Benjamin Brecht, Christine Silberhorn, and Tim J. Bartley

Phys. Rev. Applied 22, 014024 (2024) - Published 10 July, 2024

Measurement of fractional charge in elastic plates with disclinations

Meng-Yang Liu, Fei-Yang Sun, Ze-Guo Chen, Zhen Wang, Ming-Hui Lu, and Yan-Feng Chen

Phys. Rev. Applied 22, 014025 (2024) - Published 11 July, 2024

Measuring the local density of states (LDOS) in continuous systems poses substantial challenges. By leveraging the Purcell effect in an elastic wave lattice, the authors achieve discrete, contactless measurements of the LDOS. This study further analyzes the distribution of fractional LDOS across various disclination structures. This method illuminates the exploration of bulk topology by examining LDOS localized at edges or within disclinations. The findings bear promising implications for characterizing topological phases and enhancing control of structural vibration.

Broadband suppression of laser intensity noise based on second-harmonic generation

Y. Li, F. Seddighi, and G. Porat

Phys. Rev. Applied 22, 014026 (2024) - Published 11 July, 2024

Physical reservoir computing and deep neural networks using artificial and natural noncollinear spin textures

Haotian Li, Liyuan Li, Rongxin Xiang, Wei Liu, Chunjie Yan, Zui Tao, Lei Zhang, and Ronghua Liu

Phys. Rev. Applied 22, 014027 (2024) - Published 11 July, 2024

Despite being formidable tools in artificial intelligence, artificial neural networks consume substantial energy during their training phase. This study introduces hardware-based artificial neural networks that utilize artificial and natural noncollinear spin textures, significantly reducing energy consumption and enhancing operational efficiency. The authors demonstrate two such spin-texture-based physical reservoirs, which exhibit robust information-processing capabilities in two nonlinear benchmark tests. Additionally, they implement a direct-feedback-alignment algorithm within hardware, further advancing the efficiency of deep neural networks.

Markovian and non-Markovian master equations versus an exactly solvable model of a qubit in a cavity

Zihan Xia, Juan Garcia-Nila, and Daniel A. Lidar

Phys. Rev. Applied 22, 014028 (2024) - Published 11 July, 2024

Cascade cryptographic key-distribution protocol over a public network based on snapshot compressive ghost imaging

Wen-Kai Yu, Shuo-Fei Wang, and Ke-Qian Shang

Phys. Rev. Applied 22, 014029 (2024) - Published 12 July, 2024

Loss and decoherence in superconducting circuits on silicon: Insights from electron spin resonance

Aditya Jayaraman, Andrey V. Danilov, Jonas Bylander, and Sergey E. Kubatkin

Phys. Rev. Applied 22, 014030 (2024) - Published 12 July, 2024

Giant laser-induced resistive switching effect in Ag/TiOx/p-Si structures

Kang’an Jiang, Yuhong Cao, Dehui Huang, Zhiyan Zheng, Feiyu Ren, Zhuyikang Zhao, Su Hu, Ke Chang, Xinhui Zhao, and Hui Wang

Phys. Rev. Applied 22, 014031 (2024) - Published 12 July, 2024

1/f noise of a nanopillar tunnel-magnetoresistance sensor originating from a wide distribution of bath correlation times

Hiroshi Imamura, Hiroko Arai, Rie Matsumoto, and Toshiki Yamaji

Phys. Rev. Applied 22, 014032 (2024) - Published 12 July, 2024

Physics-informed tracking of qubit fluctuations

Fabrizio Berritta, Jan A. Krzywda, Jacob Benestad, Joost van der Heijden, Federico Fedele, Saeed Fallahi, Geoffrey C. Gardner, Michael J. Manfra, Evert van Nieuwenburg, Jeroen Danon, Anasua Chatterjee, and Ferdinand Kuemmeth

Phys. Rev. Applied 22, 014033 (2024) - Published 15 July, 2024

In quantum information science, online Hamiltonian learning emerges as a promising tool to compensate for uncontrolled environmental effects, thereby enhancing qubit quality factors. Several estimation schemes have been proposed to boost learning efficiency, but experimental implementation has been hindered by hardware limitations. Here the authors perform physics-informed, adaptive Bayesian Hamiltonian estimation for a singlet-triplet spin qubit, using a quantum controller powered by a field-programmable gate array. These techniques allow for significantly faster and more accurate real-time tracking of low-frequency noise in solid-state qubits.

Van der Pol–Duffing oscillator and its application to gain-driven light-matter interaction

Chunlei Zhang, Mun Kim, Jianbo Wang, and Can-Ming Hu

Phys. Rev. Applied 22, 014034 (2024) - Published 15 July, 2024

Photon-emission statistics for single nitrogen-vacancy centers

I. Panadero, H. Espinós, L. Tsunaki, K. Volkova, A. Tobalina, J. Casanova, P. Acedo, B. Naydenov, R. Puebla, and E. Torrontegui

Phys. Rev. Applied 22, 014035 (2024) - Published 15 July, 2024

General approach for efficient prediction of refrigeration performance in caloric materials

Xiong Xu, Weifeng Xie, Fangbiao Li, Chang Niu, Min Li, and Hui Wang

Phys. Rev. Applied 22, 014036 (2024) - Published 15 July, 2024

Nonreciprocal spin-wave beam transport in a metallized T-shaped magnonic junction

A.A. Martyshkin, S.E. Sheshukova, F.Y. Ogrin, E.H. Lock, D.V. Romanenko, S.A. Nikitov, and A.V. Sadovnikov

Phys. Rev. Applied 22, 014037 (2024) - Published 16 July, 2024

Spin-wave diffraction, caustic beam emission, and Talbot carpets in a yttrium iron garnet film with magnonic Fabry-Perot resonator gratings

Yifan Wang, Weizhi Yan, Nikolai Kuznetsov, Lukáš Flajšman, Huajun Qin, and Sebastiaan van Dijken

Phys. Rev. Applied 22, 014038 (2024) - Published 16 July, 2024

Attention-enhanced reservoir computing

Felix Köster, Kazutaka Kanno, Jun Ohkubo, and Atsushi Uchida

Phys. Rev. Applied 22, 014039 (2024) - Published 16 July, 2024

Highly efficient nonlocal metasurface for transmission-type acoustic focusing

Jie Ren and Zhilin Hou

Phys. Rev. Applied 22, 014040 (2024) - Published 17 July, 2024

Using quantum transport networks for classification: A path toward quantum computing for machine learning

Shmuel Lorber, Oded Zimron, Inbal Lorena Zak, Anat Milo, and Yonatan Dubi

Phys. Rev. Applied 22, 014041 (2024) - Published 17 July, 2024

Lateral and vertical spin-wave transport in a multimode magnonic ring coupler

S.A. Odintsov, S.E. Sheshukova, S.A. Nikitov, and A.V. Sadovnikov

Phys. Rev. Applied 22, 014042 (2024) - Published 17 July, 2024

Vortex matching at 6 T in YBa2Cu3O7δ thin films by imprinting a 20-nm periodic pinning array with a focused helium-ion beam

Max Karrer, Bernd Aichner, Katja Wurster, César Magén, Christoph Schmid, Robin Hutt, Barbora Budinská, Oleksandr V. Dobrovolskiy, Reinhold Kleiner, Wolfgang Lang, Edward Goldobin, and Dieter Koelle

Phys. Rev. Applied 22, 014043 (2024) - Published 17 July, 2024

Controlled engineering of vortex-pinning sites in cuprate superconductors is a pivotal goal in manufacturing devices based on magnetic flux quanta. This study employs focused helium-ion beams to create ultradense hexagonal arrays of defects in YBa2Cu3O7δ thin films, achieving lattice spacings as small as 20 nm. Efficient pinning by a remarkably high matching field of 6 T is observed from the critical temperature down to 2 K. This research expands the range of temperatures and magnetic fields for exploring vortex matter using regular artificial vortex-pinning landscapes.

Multimode characterization of an optical-beam-deflection setup

Alex Fontana and Ludovic Bellon

Phys. Rev. Applied 22, 014044 (2024) - Published 18 July, 2024

Designing gram-scale resonators for precision inertial sensors

Jonathan J. Carter, Pascal Birckigt, Oliver Gerberding, and Sina M. Koehlenbeck

Phys. Rev. Applied 22, 014045 (2024) - Published 18 July, 2024

Exceptional points of acoustic topological boundary states

Hao Chen, Jian-Lan Xie, Hua-Shan Lai, Xiao-Chen Sun, Cheng He, and Yan-Feng Chen

Phys. Rev. Applied 22, 014046 (2024) - Published 18 July, 2024

Acoustic Landau levels in a synthetic magnetic field with a symmetric gauge

Pan Li, Wencan Chen, Jiaxin Chen, Wei Luo, and Degang Zhao

Phys. Rev. Applied 22, 014047 (2024) - Published 18 July, 2024

Hyperbolic-space spectral characteristics for a network of mechanical linkages

Nicholas H. Patino, Curtis Rasmussen, and Massimo Ruzzene

Phys. Rev. Applied 22, 014048 (2024) - Published 19 July, 2024

Quantum Isomap algorithm for manifold learning

Weijun Feng, Gongde Guo, Song Lin, and Yongzhen Xu

Phys. Rev. Applied 22, 014049 (2024) - Published 19 July, 2024

Refractive-index sensing based on large negative Goos-Hänchen shifts of a wavy dielectric grating

Ma Luo and Feng Wu

Phys. Rev. Applied 22, 014050 (2024) - Published 19 July, 2024

Recognition of acoustic vortex fields based on a convolutional attention neural network

Haicai Xiao, Xinwen Fan, Yang Kang, Xiaolong Huang, Can Li, Ning Li, Chunsheng Weng, and Xudong Fan

Phys. Rev. Applied 22, 014051 (2024) - Published 19 July, 2024

Three-photon polarization entanglement of green light

Yan-Chao Lou (娄严超), Zhi-Cheng Ren (任志成), Chao Chen (陈超), Pei Wan (万佩), Wen-Zheng Zhu (朱文正), Jing Wang (王晶), Shu-Tian Xue (薛舒天), Bo-Wen Dong (董博文), Jianping Ding (丁剑平), Xi-Lin Wang (汪喜林), and Hui-Tian Wang (王慧田)

Phys. Rev. Applied 22, 014052 (2024) - Published 22 July, 2024

Ternary cold source transistors for multivalue logic applications

Xiaoxin Xie, Zhijiang Wang, Xiaoyan Liu, and Fei Liu

Phys. Rev. Applied 22, 014053 (2024) - Published 22 July, 2024

Tailoring the competition between electric dipole and magnetic dipole emission in Eu-doped cubic sesquioxide M2O3 (M= Sc,Y,La)

Mu Lan, Xiaofeng Wang, Linxi Xie, Dechao Meng, Rong Wang, Yu Song, Song Sun, and Su-Huai Wei

Phys. Rev. Applied 22, 014054 (2024) - Published 22 July, 2024

Demonstration of a variational quantum eigensolver with a solid-state spin system under ambient conditions

Xuliang Du, Yang Shen, Zipeng Wu, Bei Zeng, and Sen Yang

Phys. Rev. Applied 22, 014055 (2024) - Published 22 July, 2024

Indirect pumping of alkali-metal gases in a miniature silicon-wafer cell

J.D. Zipfel, P. Bevington, L. Wright, W. Chalupczak, G. Quick, B. Steele, J. Nicholson, and V. Guarrera

Phys. Rev. Applied 22, 014056 (2024) - Published 23 July, 2024

Measurement-driven Langevin modeling of superparamagnetic tunnel junctions

Liam A. Pocher, Temitayo N. Adeyeye, Sidra Gibeault, Philippe Talatchian, Ursula Ebels, Daniel P. Lathrop, Jabez J. McClelland, Mark D. Stiles, Advait Madhavan, and Matthew W. Daniels

Phys. Rev. Applied 22, 014057 (2024) - Published 23 July, 2024

Superparamagnetic tunnel junctions (SMTJs) are fundamental elements of many proposed probabilistic computers, but models often fail to capture important statistical features of experimental devices. In particular, the most probable states of real devices are often not the fully magnetized states. The authors develop an efficient, measurement-driven model that agrees with measurements that were not used in the modeling process, including the power-law behavior of dwell-time distributions at subnanosecond timescales. These results open avenues to tackle challenges in modeling high-speed SMTJ circuitry.

Eight-band kp description and material gain for selected cubic and pseudocubic perovskites

Krzysztof Gawarecki, Michał Wiśniewski, Maciej Polak, Robert Kudrawiec, and Marta Gładysiewicz

Phys. Rev. Applied 22, 014058 (2024) - Published 23 July, 2024

Error budget of a parametric resonance entangling gate with a tunable coupler

Eyob A. Sete, Vinay Tripathi, Joseph A. Valery, Daniel Lidar, and Josh Y. Mutus

Phys. Rev. Applied 22, 014059 (2024) - Published 23 July, 2024

Universal robust geometric quantum control via geometric trajectory correction

Tao Chen, Jia-Qi Hu, Chengxian Zhang, and Zheng-Yuan Xue

Phys. Rev. Applied 22, 014060 (2024) - Published 24 July, 2024

Quantum gyroscopes based on double-mode surface-acoustic-wave cavities

Yuting Zhu, Shibei Xue, Fangfang Ju, and Haidong Yuan

Phys. Rev. Applied 22, 014061 (2024) - Published 24 July, 2024

Hysteresis and chaos in anomalous Josephson junctions without capacitance

A.A. Mazanik, A.E. Botha, I.R. Rahmonov, and Yu.M. Shukrinov

Phys. Rev. Applied 22, 014062 (2024) - Published 24 July, 2024

Intermodulation spectroscopy and the nonlinear response of two-level systems in superconducting coplanar-waveguide resonators

Janka Biznárová, J.C. Rivera Hernández, Daniel Forchheimer, Jonas Bylander, David B. Haviland, and Gustav Andersson

Phys. Rev. Applied 22, 014063 (2024) - Published 24 July, 2024

Effect of halogen on the luminescence properties of two-dimensional double-perovskite (C6H16N2)2AgBiX8H2O (X = Cl,Br and I) with the Dion-Jacobson structure

Jun Luo, Biao Liu, Jun-Liang Yang, and Meng-Qiu Cai

Phys. Rev. Applied 22, 014064 (2024) - Published 25 July, 2024

Acoustic soft metacollimator by broadband digital phase encoding

Erqian Dong, Jinhu Zhang, Xiaochun Su, Zhanyuan Gao, Chen Yang, Zhenyu Wang, Nicholas X. Fang, and Yu Zhang

Phys. Rev. Applied 22, 014065 (2024) - Published 25 July, 2024

Phonon-mediated third-harmonic generation in diamond

Jiaoyang Zheng, Guru Khalsa, and Jeffrey Moses

Phys. Rev. Applied 22, 014066 (2024) - Published 25 July, 2024

Electrical properties of ScN(111) layers grown on semi-insulating GaN(0001) by plasma-assisted molecular beam epitaxy

Duc V. Dinh and Oliver Brandt

Phys. Rev. Applied 22, 014067 (2024) - Published 25 July, 2024

Identification of quantum entanglement with Siamese convolutional neural networks and semisupervised learning

Jarosław Pawłowski and Mateusz Krawczyk

Phys. Rev. Applied 22, 014068 (2024) - Published 26 July, 2024

Elliptical micropillars for efficient generation and detection of coherent acoustic phonons

C. Xiang, A. Rodriguez, E.R. Cardozo de Oliveira, L. Le Gratiet, I. Sagnes, M. Morassi, A. Lemaître, and N.D. Lanzillotti-Kimura

Phys. Rev. Applied 22, 014069 (2024) - Published 26 July, 2024

Spectrally pure visible-telecom photon pairs via dispersion-engineered Si3N4 waveguides

Vijay, Shivani Sharma, Joyee Ghosh, and Vivek Venkataraman

Phys. Rev. Applied 22, 014070 (2024) - Published 26 July, 2024

Performance of graphene Hall effect sensors: Role of bias current, disorder, and Fermi velocity

Lionel Petit, Tom Fournier, Géraldine Ballon, Cédric Robert, Delphine Lagarde, Pascal Puech, Thomas Blon, and Benjamin Lassagne

Phys. Rev. Applied 22, 014071 (2024) - Published 29 July, 2024

Mo-Si superconducting nanowire single-photon detectors on GaAs

M. Erbe, R. Berrazouane, S. Geyer, L. Stasi, F. van der Brugge, G. Gras, M. Schmidt, A.D. Wieck, A. Ludwig, F. Bussières, and R.J. Warburton

Phys. Rev. Applied 22, 014072 (2024) - Published 29 July, 2024

Programming bistability in geometrically perturbed mechanical metamaterials

Yingchao Peng, Imtiar Niloy, Megan Kam, Paolo Celli, and Paul Plucinsky

Phys. Rev. Applied 22, 014073 (2024) - Published 29 July, 2024

Coreset selection can accelerate quantum machine learning models with provable generalization

Yiming Huang, Xiao Yuan, Huiyuan Wang, and Yuxuan Du

Phys. Rev. Applied 22, 014074 (2024) - Published 29 July, 2024

Atmospheric clearing of solid-particle debris using femtosecond filaments

Kyle S. Latty and Kyle C. Hartig

Phys. Rev. Applied 22, 014075 (2024) - Published 29 July, 2024

Fourier analysis of near-field patterns generated by propagating polaritons

Minsoo Jang, Sergey G. Menabde, Fatemeh Kiani, Jacob T. Heiden, Vladimir A. Zenin, N. Asger Mortensen, Giulia Tagliabue, and Min Seok Jang

Phys. Rev. Applied 22, 014076 (2024) - Published 30 July, 2024

Induced polarization imparts piezoelectricity in noncrystalline polymer films

Xiaodong Yan, Xuemu Li, Zhihe Long, Zehua Peng, Jing Fu, Zhuomin Zhang, Shiyuan Liu, Ying Hong, Qi Li, Shujun Zhang, Dragan Damjanovic, and Zhengbao Yang

Phys. Rev. Applied 22, 014077 (2024) - Published 30 July, 2024

Remote sensing of a levitated superconductor with a flux-tunable microwave cavity

Philip Schmidt, Remi Claessen, Gerard Higgins, Joachim Hofer, Jannek J. Hansen, Peter Asenbaum, Martin Zemlicka, Kevin Uhl, Reinhold Kleiner, Rudolf Gross, Hans Huebl, Michael Trupke, and Markus Aspelmeyer

Phys. Rev. Applied 22, 014078 (2024) - Published 30 July, 2024

The authors implement a scheme for sensing magnetic fields using a remotely located dc SQUID embedded in a microwave resonator. This configuration provides a path toward quantum-limited detection of microwave photons. The detector is used to resolve precisely the motion of a magnetically levitated superconducting microsphere. In addition to advancing magnetic field sensing at ultralow temperatures, this innovative platform has the potential to generate and measure nonclassical mechanical states of microgram-scale masses.

Flux-pulse-assisted readout of a fluxonium qubit

Taryn V. Stefanski and Christian Kraglund Andersen

Phys. Rev. Applied 22, 014079 (2024) - Published 30 July, 2024

Flux-coupled tunable superconducting resonator

Juliang Li, Pete Barry, Tom Cecil, Marharyta Lisovenko, Volodymyr Yefremenko, Gensheng Wang, Serhii Kruhlov, Goran Karapetrov, and Clarence Chang

Phys. Rev. Applied 22, 014080 (2024) - Published 30 July, 2024

Microwave-cavity-mode optimization by background antiresonance tuning

Michael T. Hatzon, Eugene N. Ivanov, Jeremy F. Bourhill, Maxim Goryachev, and Michael E. Tobar

Phys. Rev. Applied 22, 014081 (2024) - Published 30 July, 2024

Reconfigurable classifier based on spin-torque-driven magnetization switching in electrically connected magnetic tunnel junctions

A. López, J.D. Costa, T. Böhnert, P.P. Freitas, R. Ferreira, I. Barbero, J. Camarero, C. León, J. Grollier, and M. Romera

Phys. Rev. Applied 22, 014082 (2024) - Published 31 July, 2024

A promising branch of neuromorphic computing aims to perform cognitive operations in hardware, leveraging the physics of efficient and well-established nanodevices. This work presents a reconfigurable classifier, based on a network of magnetic tunnel junctions, that can learn to classify spoken vowels. In this task the hardware network surpasses multilayered software neural networks with the same number of trained parameters. These results, obtained using the same devices and working principle employed in industrial spin-transfer-torque magnetic random-access memory, constitute an important step toward the development of large-scale neuromorphic networks based on established technology.

Symmetry and planar chirality measured with a log-polar transformation in a transmission electron microscope

A.H. Tavabi, P. Rosi, R.B.G. Ravelli, A. Gijsbers, E. Rotunno, T. Guner, Y. Zhang, A. Roncaglia, L. Belsito, G. Pozzi, T. Denneulin, G.C. Gazzadi, M. Ghosh, R. Nijland, S. Frabboni, P.J. Peters, E. Karimi, P. Tiemeijer, R.E. Dunin-Borkowski, and V. Grillo

Phys. Rev. Applied 22, 014083 (2024) - Published 31 July, 2024

Chirality can appear at many length scales in nature. In this study the authors introduce planar chirality as a quantitative geometric measure of chirality for two-dimensional objects. They apply this measure to evaluate the chirality of nanometer-sized structures with an electron microscope. They employ an innovative electron-optics device, the orbital-angular-momentum sorter, which applies a log-polar conformal mapping to the electron wave function and reaches near-optimal resolution in orbital angular momentum.

Free-induction-decay 4He magnetometer using a multipass cell

Kaiwen Yi, Yang Liu, Bowen Wang, Wei Xiao, Dong Sheng, Xiang Peng, and Hong Guo

Phys. Rev. Applied 22, 014084 (2024) - Published 31 July, 2024

Voltage-controlled spin-wave Doppler shift in a ferromagnetic/ferroelectric heterojunction

Shaojie Hu, Kang Wang, Tai Min, and Takashi Kimura

Phys. Rev. Applied 22, 014085 (2024) - Published 31 July, 2024

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