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Harmonic and subharmonic magnon generation in a surface-acoustic-wave resonator

Yunyoung Hwang, Liyang Liao, Jorge Puebla, Marco Brühlmann, Carlos Gonzalez-Ballestero, Kouta Kondou, Naoki Ogawa, Sadamichi Maekawa, and Yoshichika Otani

Phys. Rev. Applied 25, 034056 (2026) - Published 17 March, 2026

Hybrid sound-magnet interactions attract growing interest for advanced signal processing and computing, but generating complex, controllable nonlinear magnetic responses in such systems remains challenging for chip-scale platforms. The authors use a device that concentrates high-frequency sound waves to strongly couple a magnetic film to acoustic motion, revealing nonlinear magnetoelastic waves that generate phase-locked harmonic and subharmonic magnetic signals. Notably, the subharmonic process closely resembles optical parametric down-conversion. These nonlinear magnon-phonon hybrid excitations may represent an important step toward quantum magnonics with propagating excitations.

bifrost: A first-principles model of polarization mode dispersion in optical fiber

Patrick R. Banner, S. L. Rolston, and Joseph W. Britton

Phys. Rev. Applied 25, 034054 (2026) - Published 17 March, 2026

Birefringence in optical fiber causes polarization mode dispersion (PMD), which can broaden telecommunication signals, degrade fiber-sensor measurements, and scramble polarization-encoded quantum states. Though widely studied, PMD is typically modeled using statistical descriptions that obscure its underlying physical origins. The authors present BIFROST, a first-principles model that links PMD to specific physical parameters such as core geometry, temperature, and bend radius. Using this model, they simulate the impact of environmental variations on PMD compensation and demonstrate how knowledge of fiber properties (e.g. fiber spinning) can be applied to emerging quantum networks.

Data-efficient quantum noise modeling via machine learning

Yanjun Ji, Marco Roth, David A. Kreplin, Ilia Polian, and Frank K. Wilhelm

Phys. Rev. Applied 25, 034051 (2026) - Published 16 March, 2026

Noise-aware compilation on near-term quantum processors requires accurate noise models, but standard ones often miss algorithm- and hardware-specific error mechanisms, and full characterization can be costly. In this study a data-efficient framework combines a physically motivated parametrized noise model with Bayesian optimization, to infer algorithm- and hardware-specific error parameters from routine circuit-execution data. Remarkably, models trained only on small-circuit data generalize well to larger validation circuits, yielding 65% better model fidelity. This provides a scalable, low-overhead route to more predictive, application-aware noise models for quantum compilation workflows.

Frequency-matching quantum key distribution

Hao-Tao Zhu, Yizhi Huang, Abdullah Rasmita, Chao Ding, Xiangbin Cai, Haoran Zhang, Xiongfeng Ma, and Weibo Gao

Phys. Rev. Applied 25, 034043 (2026) - Published 12 March, 2026

Rapid qubit readout dependent on the transmission of a single fluxon

W. Wustmann and K.D. Osborn

Phys. Rev. Applied 25, 034027 (2026) - Published 9 March, 2026

Logical quantum phase estimation for x-ray absorption spectra

Hirofumi Nishi, Taichi Kosugi, Satoshi Hirose, Tatsuya Okayama, and Yu-ichiro Matsushita

Phys. Rev. Applied 25, 034026 (2026) - Published 9 March, 2026

Almost device-independent certification of multipartite quantum states with minimal measurements

Shubhayan Sarkar, Alexandre C. Orthey, Jr., Gautam Sharma, Saronath Halder, and Remigiusz Augusiak

Phys. Rev. Applied 25, 034019 (2026) - Published 5 March, 2026

Spanning-tree-packing protocol for conference-key propagation in quantum networks

Anton Trushechkin, Hermann Kampermann, and Dagmar Bruß

Phys. Rev. Applied 25, 034018 (2026) - Published 5 March, 2026

Interplay of Zeeman splitting and tunnel coupling in coherent spin-qubit shuttling

Ssu-Chih Lin, Paul Steinacker, MengKe Feng, Ajit Dash, Santiago Serrano, Wee Han Lim, Kohei M. Itoh, Fay E. Hudson, Tuomo Tanttu, Andre Saraiva, Arne Laucht, Andrew S. Dzurak, Hsi-Sheng Goan, and Chih Hwan Yang

Phys. Rev. Applied 25, 034016 (2026) - Published 5 March, 2026

Spin shuttling is a promising strategy for scaling silicon-based quantum processors by overcoming the connectivity constraints inherent in quantum dots. This study employs Pauli spin blockade to characterize spin-shuttling coherence at different external magnetic fields, facilitating a systematic investigation of the impact of various operational parameters, which can drive up to a twentyfold variation in error rates. Through targeted optimization, the authors achieve an average shuttling fidelity of 99.8%. Their findings provide critical insights for optimizing high-performance spin shuttling in future large-scale quantum processors.

Time-resolved characterization of pulsed squeezed light from a strongly driven silicon nitride microresonator

Emanuele Brusaschi, Marco Liscidini, Matteo Galli, Daniele Bajoni, and Massimo Borghi

Phys. Rev. Applied 25, 034008 (2026) - Published 3 March, 2026

Pulsed squeezed light is a key resource for continuous-variable quantum information processing and photonic quantum technologies, and can be generated efficiently using Si3N4 microresonators. Under strong pulsed pumping, however, nonlinear effects complicate control of such light’s temporal and spectral properties, limiting performance and practical utility. This study in the high-gain regime investigates the impact of pump detuning and pulse duration on key metrics, including output photon flux and various correlations. Its results deepen our understanding of pulsed squeezed light in chip-scale resonators, and provide guidance for optimizing integrated quantum light sources.

Fast and accurate flux-crosstalk characterization in superconducting-qubit circuits

Xiao-Yan Yang, Peng Wang, Ran Guo, Hai-Feng Zhang, Tian-Le Wang, Ze-An Zhao, Sheng Zhang, Ren-Ze Zhao, Zhi-Fei Li, Yuan Wu, Zhi-Long Jia, Wei-Cheng Kong, Gang Cao, Peng Duan, and Guo-Ping Guo

Phys. Rev. Applied 25, 034007 (2026) - Published 3 March, 2026

Predicting sampling advantage of stochastic Ising machines for quantum simulations

Rutger J.L.F. Berns, Davi R. Rodrigues, Giovanni Finocchio, and Johan H. Mentink

Phys. Rev. Applied 25, 024085 (2026) - Published 26 February, 2026

Stochastic Ising machines (sIMs) are promising accelerators for optimization and sampling in computational problems that can be formulated as an Ising model. The authors investigate the computational advantage of sIMs for simulating quantum magnets with neural-network quantum states, a very powerful method for probabilistic quantum simulation. Based on the autocorrelation time, the team predicts sampling advantage without requiring deployment on hardware. For massively parallel hardware sIMs a speed-up factor of 100 to 10000 is projected, suggesting that sIMs may drastically increase the scale at which probabilistic quantum simulation is possible.

High-fidelity control of cat-state qubits by polychromatic pulses

Ke-Xin Hu, Bi-Hua Huang, Shao-Wei Xu, Zhi-Cheng Shi, Yan Xia, and Ye-Hong Chen

Phys. Rev. Applied 25, 024083 (2026) - Published 26 February, 2026

Direct dispersive signature of Pauli spin blockade with voltage bias

Simon Svab, Rafael S. Eggli, Taras Patlatiuk, Miguel J. Carballido, Pierre Chevalier Kwon, Dominique A. Trüssel, Ang Li, Erik P.A.M. Bakkers, Andreas V. Kuhlmann, and Dominik M. Zumbühl

Phys. Rev. Applied 25, 024082 (2026) - Published 26 February, 2026

Mitigating errors in state preparation and measurement with noncomputational states

Conrad J. Haupt, Almudena Carrera Vazquez, Laurin E. Fischer, Stefan Woerner, and Daniel J. Egger

Phys. Rev. Applied 25, 024079 (2026) - Published 25 February, 2026

Simulating plasma wave propagation on a superconducting quantum chip

Bhuvanesh Sundar, Bram Evert, Vasily Geyko, Andrew Patterson, Ilon Joseph, and Yuan Shi

Phys. Rev. Applied 25, 024077 (2026) - Published 25 February, 2026

Robust composite two-qubit gates for silicon-based spin qubits

Yang-Yang Yu, Guang-Hui Zhang, Yan-Jie He, Jun Wu, Xue-Ke Song, and Dong Wang

Phys. Rev. Applied 25, 024076 (2026) - Published 24 February, 2026

Coherent resonant transport of magnons through a ferromagnetic chain: A possible way to establish quantum communication between nanomagnets embedded in microwave cavities

Elmar G. Petrov, Sergii M. Tunyk, and Victor V. Gorbach

Phys. Rev. Applied 25, 024072 (2026) - Published 24 February, 2026

High-order optical orbital angular momentum modes coupling with atoms in a degenerate cavity

Gui-Yu Shan, Mu Yang, Jia-He Cao, Yu-Wei Liao, Yue Li, Jian Wang, Jin-Shi Xu, Chuan-Feng Li, and Guang-Can Guo

Phys. Rev. Applied 25, 024069 (2026) - Published 23 February, 2026

Low-crosstalk silicon-fabricated optical waveguides for laser delivery to matter qubits

Clayton L. Craft et al.

Phys. Rev. Applied 25, 024055 (2026) - Published 18 February, 2026

Efficient, precise control of trapped-ion qubits is essential to scaling up quantum computing technology using that platform, and one approach utilizes integrated photonic waveguides to individually address the qubits. However, crosstalk is typically mitigated by spacing the waveguides far beyond the scale of the qubits, which hinders mode matching and efficiency. The authors identify relatively simple and easily implemented design choices that yield low crosstalk with such systems while keeping the waveguide pitch close to the qubit pitch, to facilitate light delivery and collection.

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