Recent Articles

Modulating low-power-threshold optical bistability by electrically reconfigurable free-electron Kerr nonlinearity

Huatian Hu (胡华天), Gonzalo Álvarez-Pérez, Antonio Valletta, Marialilia Pea, Michele Ortolani, and Cristian Ciracì

Phys. Rev. Applied 24, 044006 (2025) - Published 2 October, 2025

Tunable edge and depth sensing via phase-change nonlocal metasurfaces

Kenan Guo, Yue Jiang, Shuyuan Xiao, and Tingting Liu

Phys. Rev. Applied 24, 044005 (2025) - Published 2 October, 2025

Erratum: Modeling enclosures for large-scale superconducting quantum circuits [Phys. Rev. Applied 14, 024061 (2020)]

P. A. Spring, T. Tsunoda, B. Vlastakis, and P. J. Leek

Phys. Rev. Applied 24, 049901 (2025) - Published 1 October, 2025

Multicolor space-time engineering to steer a frequency comb

Zhenyu Jiang, Zhiqiang Wu, Qunchao Ma, Chen Zhang, Zhuochao Tie, Jingkun Zhuang, Songlin Zhuang, and Qingqing Cheng

Phys. Rev. Applied 24, 044004 (2025) - Published 1 October, 2025

Lumped-element broadband SNAIL parametric amplifier with on-chip pump filter for multiplexed readout

V.R. Joshi, S. Hazra, A.Z. Ding, A. Miano, W. Dai, G. Umasankar, A. Kottandavida, G. Liu, L. Frunzio, and M.H. Devoret

Phys. Rev. Applied 24, 044003 (2025) - Published 1 October, 2025

This article presents a compact, broadband SNAIL (superconducting nonlinear asymmetric inductive element) parametric amplifier that delivers flat-top 20-dB gain across 250 MHz, with near-quantum-limited noise performance. By combining impedance matching with an on-chip pump filter, the device remains robust, reproducible, and straightforward to fabricate. The authors demonstrate simultaneous high-fidelity readout of multiple qubits, with negligible crosstalk, showing clear promise for scaling up quantum processors and improving microwave measurement technologies.

Water diffusion in wood and plant cell walls: An activated process

Luoyi Yan, Rahima Sidi-Boulenouar, Wafae Bagui, Jaime Gil-Roca, Benjamin Maillet, Laurent Brochard, and Philippe Coussot

Phys. Rev. Applied 24, 044002 (2025) - Published 1 October, 2025

Wood, plants, and cellulosic materials contain a lot of bound water, present as nanoscale inclusions within a solid matrix. That bound water plays a major role in drying and moisture exchange, but exactly how is poorly understood. This work examines the transport of bound water by filling wood’s pores with oil and observing via MRI. Surprisingly, bound water’s diffusivity is independent of concentration and direction, and depends exponentially on inverse temperature, suggesting an activated process. As long as a local deficit exists, bound water enables efficient, long-distance moisture transport through plant structures, whether voids are closed, empty, or full of nonaqueous liquid.

Photonic electrometry using a piezoelectric Pockels microresonator

Suwan Sun, Hairun Guo, Andre N. Luiten, and Wenle Weng

Phys. Rev. Applied 24, 044001 (2025) - Published 1 October, 2025

Ultrafast carrier separation and suppressed recombination in ferroelectric CuInP2S6/SiC van der Waals heterostructures

Shangyong Yu, Yanqi Wang, Mengyan Zhang, Shuhong Ma, and Zhaoyong Jiao

Phys. Rev. Applied 24, 034084 (2025) - Published 30 September, 2025

Anisotropic electron-hole excitation and giant optical linear dichroism in two-dimensional NbOX2 (X=I,Br,Cl) monolayer

Tian-Xiang Qian, Ju Zhou, Shengyuan A. Yang, Tian-Yi Cai, and Sheng Ju

Phys. Rev. Applied 24, 034083 (2025) - Published 30 September, 2025

Wave computing based on dynamical networks: Applications in optimization problems

Yunwen Liu and Jiang Xiao

Phys. Rev. Applied 24, 034082 (2025) - Published 30 September, 2025

Wave dynamics offer intrinsic parallelism that remains largely untapped in current wave-based computing systems. This work proposes a framework for a dynamical wave-propagating network to tackle combinatorial optimization. By empowering both nodes and edges to actively process signals through frequency mixing and programmable time delays, this technique exploits parallelism across frequency, space, and time. The approach is validated on canonical benchmarks—including number partitioning, the 0/1 knapsack problem, and the traveling-salesman problem—while rigorously addressing practical constraints such as pseudopolynomial complexity and energy density.

Efficient multiresonant laser isotope separation

Aaron D. Barr, Simon Rochester, Dmitry Budker, and Mark G. Raizen

Phys. Rev. Applied 24, 034081 (2025) - Published 30 September, 2025

Experimental realization of a hydrodynamic carpet cloak through localized modification of channel cross section

Yuhong Zhou, Yuguang Qiu, Jinrong Liu, Min Lei, Gaole Dai, Liujun Xu, and Jiping Huang

Phys. Rev. Applied 24, 034080 (2025) - Published 30 September, 2025

Ultrahigh interfacial thermal conductance for cooling gallium oxide electronics using cubic boron arsenide

Wenjiang Zhou, Nianjie Liang, Wei Xiao, Zhaofei Tong, Fei Tian, and Bai Song

Phys. Rev. Applied 24, L031005 (2025) - Published 29 September, 2025

While gallium oxide offers major potential for power electronics, its poor thermal conductivity makes heat dissipation challenging. This study presents a cooling strategy centered on the heterogeneous integration of gallium oxide devices with cubic boron arsenide (c-BAs). Using molecular dynamics simulations with machine-learned interatomic potentials, the authors find remarkable interfacial thermal conductance; this plus the ultrahigh thermal conductivity of c-BAs yields notable reduction in device temperature. This work highlights c-BAs as an outstanding material for cooling tomorrow’s chips, and may facilitate the engineering of interfacial thermal transport at the atomic scale.

Reconfigurable Boolean logic gates with a single spin-orbit-torque magnetic tunnel junction

Ran Zhang, Caihua Wan, Mingkun Zhao, Xiaohan Li, Yingqian Xu, Shiqiang Liu, Dehao Kong, Shilong Xiong, Guoqiang Yu, and Xiufeng Han

Phys. Rev. Applied 24, 034079 (2025) - Published 29 September, 2025

Protecting intercavity polaritons in strongly coupled cavities

Rodrigo Sánchez-Martínez, Yesenia A. García Jomaso, David Ley Domínguez, César L. Ordóñez-Romero, Hugo A. Lara-García, Giuseppe Pirruccio, and Arturo Camacho-Guardian

Phys. Rev. Applied 24, 034078 (2025) - Published 29 September, 2025

Single-microphone speaker localization using acoustic metamaterial antenna and voiceprint recognition

Xin Li, Zeng-Xin Cai, Chu-Yao Feng, Xin-Ye Zou, Qian Chen, and Jian-Chun Cheng

Phys. Rev. Applied 24, 034077 (2025) - Published 26 September, 2025

Quantum-enhanced radio-frequency photonic distributed imaging

Haowei Shi, Christopher M. Jones, Mengjie Yu, Zheshen Zhang, and Quntao Zhuang

Phys. Rev. Applied 24, 034076 (2025) - Published 26 September, 2025

Experimental investigation of twist conservation in nonlinear optical three-wave mixing

G.H. dos Santos, A.L.S. Santos Junior, M. Gil de Oliveira, A.C. Barbosa, B. Pinheiro da Silva, N. Rubiano da Silva, G. Cañas, S.P. Walborn, A.Z. Khoury, and P.H. Souto Ribeiro

Phys. Rev. Applied 24, 034075 (2025) - Published 26 September, 2025

Energy-efficient generation of high-frequency spin waves in Bi2YFe5O12/Co-based heterostructures using laser pulses

Dimple Sneha Pamarthi, Elena Popova, Nirina Randrianantoandro, Gwenaëlle Vaudel, Pascal Ruello, Michel Hehn, Niels Keller, and Marwan Deb

Phys. Rev. Applied 24, 034074 (2025) - Published 26 September, 2025

Quantum optimal control of superconducting qubits based on machine-learning characterization

Élie Genois, Noah J. Stevenson, Noah Goss, Irfan Siddiqi, and Alexandre Blais

Phys. Rev. Applied 24, 034073 (2025) - Published 26 September, 2025

Open-loop quantum optimal control is a powerful technique to realize fast, high-fidelity quantum operations. Its successful implementation in real-world scenarios is limited, however, because it relies on a model of quantum dynamics that cannot attain the desired precision. This study uses physics-inspired machine learning to solve the problem, by inferring an accurate model of the dynamics from experimental data. The approach provides both a useful characterization of the system’s behavior and the optimal controls to realize arbitrary operations on it, and thus is a valuable tool for quantum information processing.

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