Highlights

Voltage-time dilemma and stochastic threshold-voltage variation in pure-silver atomic switches

Anna Nyáry, Zoltán Balogh, Máté Vigh, Botond Sánta, László Pósa, and András Halbritter

Phys. Rev. Applied 21, 014027 (2024) - Published 17 January, 2024

Silver plays a prominent role as an active material in resistive-switching memory devices (memristors) based on electrochemical metallization. Such a structure contains in its active volume nanoscale Ag filaments, which can be used as artificial synapses in neural-network applications. Meanwhile, a fundamentally different type of resistive switching occurs in an atomic wire of pure Ag, where an embedding, ion-hosting environment is absent. This comparative study clarifies the characteristics and origins of the latter, purely atomic switching phenomenon, highlighting its importance in silver-based memristive devices as the active volume approaches truly atomic dimensions.

All-optical dual-axis zero-field atomic magnetometer using light-shift modulation

Xiaoyu Li, Bangcheng Han, Kaixuan Zhang, Ziao Liu, Shuying Wang, Yifan Yan, and Jixi Lu

Phys. Rev. Applied 21, 014023 (2024) - Published 16 January, 2024

Researchers have achieved dual-axis magnetic-field detection using an atomic magnetometer architecture with only optical instruments.

Light-induced microwave noise in superconducting microwave-optical transducers

Mingrui Xu, Chunzhen Li, Yuntao Xu, and Hong X. Tang

Phys. Rev. Applied 21, 014022 (2024) - Published 12 January, 2024

Microwave-to-optical transduction is expected to play a pivotal role in scaling up superconducting quantum processors and facilitating their long-distance communication via optical fiber, but a notable hurdle here is light-induced microwave noise. This study investigates the mechanisms that create such noise in a thin-film LiNbO3 device. Three distinct noise sources, with unique time constants spanning orders of magnitude, are identified. The authors also investigate the power dependence of each noise component, and offer potential strategies for mitigation. The insights gained from this work provide important design guidelines for efficient, low-noise transduction.

Radio-frequency-modulated artificial synapses based on magnetic tunnel junctions with perpendicular magnetic anisotropy

Kexin Zeng, Yawen Luo, Like Zhang, Huayao Tu, Yanxiang Luo, Xuan Zhang, Bin Fang, and Zhongming Zeng

Phys. Rev. Applied 21, 014020 (2024) - Published 12 January, 2024

Artificial neural networks (ANNs) based on the microwave properties of magnetic tunnel junctions (MTJs) have an advantage in recognizing rf signals without digital-to-analog conversion. However, so far there has been no good way to exploit frequency multiplexing in MTJ-based ANNs. To this end, the authors explore changing the perpendicular magnetic anisotropy between a Co-Fe-B free layer and MgO barrier. Their spintronic synapse with adjustable positive and negative weights can classify rf signals with an accuracy exceeding 96%, comparable to that of equivalent software-based neural networks. This work may well pave the way for the development of rf-oriented hardware ANNs.

Injection mechanisms in a III-nitride light-emitting diode as seen by self-emissive electron microscopy

Tanay Tak, Cameron W. Johnson, Wan Ying Ho, Feng Wu, Mylène Sauty, Steve Rebollo, Andreas K. Schmid, Jacques Peretti, Yuh-Renn Wu, Claude Weisbuch, and James S. Speck

Phys. Rev. Applied 20, 064045 (2023) - Published 26 December, 2023

While charge carriers in electronics are fundamental to device operation, little is empirically known about their spatial distribution under standard operating conditions. The authors develop a technique for self-emissive electron microscopy that allows them to image electrons close to their point of generation in operando. Increased electron emission, and thus carrier density, is observed at the ridges of V-shaped defects in a green LED, confirming that the sidewalls of these defects allow lateral carrier injection⏤a necessity for increasing efficiency. Measuring the spatial distribution of carriers with this technique can inform the design of superior devices.

Neural sensing and control in a kilometer-scale gravitational-wave observatory

N. Mukund, J. Lough, A. Bisht, H. Wittel, S. Nadji, C. Affeldt, F. Bergamin, M. Brinkmann, V. Kringel, H. Lück, M. Weinert, and K. Danzmann

Phys. Rev. Applied 20, 064041 (2023) - Published 22 December, 2023

Aligning suspended optics in gravitational-wave observatories is crucial for detecting astrophysical phenomena⏤and it is also challenging, due to several environmental factors. This research implements neural-network-based sensing and control deployed at the GEO600 detector, utilizing a sensor with a convolutional neural network and long- and short-term memory, plus a deep-reinforcement-learning-based agent for enhanced alignment. The method demonstrates sensitivity improvement over traditional schemes, thus offering a practical approach for AI-based real-time control of gravitational-wave interferometers, to aid the detection of cosmic events like merging compact neutron-star binaries.

Ionization clamping in ultrafast optical breakdown of transparent solids

Anton Rudenko, Jerome V. Moloney, and Pavel Polynkin

Phys. Rev. Applied 20, 064035 (2023) - Published 19 December, 2023

Internal modifications of transparent solid-state materials by intense, ultrashort laser pulses enable numerous applications in micromachining, photonics, and medicine. Understanding the highly nonlinear propagation of the laser beam through the interaction zone is important in developing these technologies. Here a comprehensive propagation model reveals that even under extremely tight focusing, the key physical quantities are rigidly clamped by plasma shielding, at values up to two orders of magnitude lower than those inferred from earlier studies. Potential routes to overcome the clamping limits are discussed.

Charge-carrier photogeneration in single-component organic carbazole-based semiconductors via low excitation power triplet-triplet annihilation

Andrei Stankevych, Rishabh Saxena, Jeannine Grüne, Sebastian Lulei, Andreas Sperlich, Stavros Athanasopoulos, Alexander Vakhnin, Prakhar Sahay, Wolfgang Brütting, Vladimir Dyakonov, Heinz Bässler, Anna Köhler, and Andrey Kadashchuk

Phys. Rev. Applied 20, 064029 (2023) - Published 15 December, 2023

This work demonstrates that triplet-triplet annihilation (TTA) is the predominant mechanism of intrinsic photogeneration of charge-carrier pairs via autoionization, in a single-component disordered organic system with no heavy atoms. The findings challenge established beliefs by revealing efficient carrier generation via TTA upon excitation near the absorption edge. Photocurrent measurements, optical spectroscopy, and spin-sensitive techniques support this model of bimolecular charge generation. Such mechanisms in organic semiconductors are relevant not just for OLEDs, but also for long-persistent luminescence, photovoltaics, and potentially for photocatalytic water splitting.

Acoustic cloning

Jonas Müller, Theodor S. Becker, Xun Li, Johannes Aichele, Marc Serra-Garcia, Johan O.A. Robertsson, and Dirk-Jan van Manen

Phys. Rev. Applied 20, 064014 (2023) - Published 8 December, 2023

You might hear an echo in the mountains, but can you hear your voice reflecting from the mug on your desk? Probably not: The intensity of that reflected sound is negligible, compared to the other reflections in your office…and what if we put out more mugs? Acoustic cloning, a form of holography, allows us to study acoustic wave propagation and reflection from a physical scatterer, even with modifications to that object. This study presents both theoretical framework and experimental implementation. The method is expected to be widely applicable in all domains of acoustic scattering, such as material characterization, active metamaterials, and virtual-acoustics applications.

Superresolution magnetic imaging by a Josephson junction via holographic reconstruction of Ic(H) modulation

Razmik A. Hovhannisyan, Taras Golod, and Vladimir M. Krasnov

Phys. Rev. Applied 20, 064012 (2023) - Published 7 December, 2023

Magnetic sensors generally exhibit a trade-off between spatial resolution and field sensitivity: As sensor size decreases, resolution improves but sensitivity deteriorates. This study reveals that the field distribution in a superconducting Josephson junction can be inferred by analyzing the diffractionlike magnetic field modulation of the critical current Ic. Here the spatial resolution is constrained solely by the field range of the Ic(H) pattern and is unrelated to the junction’s size. A remarkable feature of this detection method is that high spatial resolution accompanies high field sensitivity.

Longitudinal coupling between a Si/Si1xGex double quantum dot and an off-chip TiN resonator

J. Corrigan, Benjamin Harpt, Nathan Holman, Rusko Ruskov, Piotr Marciniec, D. Rosenberg, D. Yost, R. Das, William D. Oliver, R. McDermott, Charles Tahan, Mark Friesen, and M.A. Eriksson

Phys. Rev. Applied 20, 064005 (2023) - Published 4 December, 2023

Far-off-resonant couplings are useful in quantum computing because they do not require special tunings of device components, but still await further exploration. The authors use a “flip-chip” coupling geometry to unequivocally demonstrate the presence of a far-off-resonant longitudinal coupling between a quantum-dot charge qubit and a microwave cavity, which can be turned on or off at will. This work provides a powerful and versatile tool for reading out and coupling quantum-dot qubits over large distances.

Thermo-osmotic slip flows around a thermophoretic microparticle characterized by optical trapping of tracers

Tetsuro Tsuji, Satoshi Mei, and Satoshi Taguchi

Phys. Rev. Applied 20, 054061 (2023) - Published 30 November, 2023

Using fluorescent tracers, researchers visualize the forces that move micrometer-diameter particles through a liquid subjected to a temperature gradient.

Propagating-spin-wave spectroscopy using inductive antennas: Conditions for unidirectional energy flow

Thibaut Devolder

Phys. Rev. Applied 20, 054057 (2023) - Published 28 November, 2023

Spin waves are of central importance in spintronic as they determine the rate at which the magnetization can vary. They can be better studied by using propagating-spin-wave spectroscopy with a physically transparent model. This study of spin-wave transduction focuses on the interaction between spin waves and microwaves, and the impact of the spin-wave dispersion relation. The authors choose specific magnetization orientations so that the magnons and microwave photons do not couple, and show that line-shaped dispersion relations can be harnessed to engineer reconfigurable, nonreciprocal frequency filters transferring spin wave energy in a unidirectional manner.

Single-spin spectroscopy of spontaneous and phase-locked spin-torque-oscillator dynamics

Adrian Solyom, Michael Caouette-Mansour, Brandon Ruffolo, Patrick Braganca, Lilian Childress, and Jack C. Sankey

Phys. Rev. Applied 20, 054055 (2023) - Published 28 November, 2023

Nanoscale magnetic circuits provide an alternate paradigm for computation and signal processing, but characterizing the GHz-frequency magnetic dynamics in these systems has been challenging. The authors use the single spin of a nitrogen-vacancy (N-V) center in diamond to probe nanoscale magnetic fields in the GHz regime, identifying signatures of a free-running and phase-locked spin-torque oscillator in the fluorescence spectrum of a proximal N-V, and measure how the dynamics impact the N-V’s spin relaxation. This technique could enable new sensing modalities for revealing the nanoscale structure of GHz-frequency dynamics in emerging magnetic nanotechnologies.

High-resolution acoustic field mapping of gigahertz phononic crystals with atomic force microscopy

Alessandro Pitanti, Mingyun Yuan, Simone Zanotto, and Paulo Ventura Santos

Phys. Rev. Applied 20, 054054 (2023) - Published 27 November, 2023

Manipulating mechanical waves at gigahertz frequencies can lead to next-generation communication technologies, but designing wave-controlling devices requires high-resolution and fast-scanning mapping of acoustic fields. The authors introduce the use of acoustic atomic force microscopy to characterize phononic crystals at gigahertz frequency, showing mechanical vibration mapping with tens-of-nanometer resolution and symmetry-dependent scattering. This study sets the baseline for advanced operations like hyperspectral filtering, beam steering, or spatial-division multiplexing, and will have an impact on the development of acoustic-based microwave technologies.

Deep-learning-based radio-frequency side-channel attack on quantum key distribution

Adomas Baliuka, Markus Stöcker, Michael Auer, Peter Freiwang, Harald Weinfurter, and Lukas Knips

Phys. Rev. Applied 20, 054040 (2023) - Published 20 November, 2023

Quantum key distribution (QKD) is a technique that allows two distant parties to distribute and share a common secret, which then can be used as a cryptographic key. While mathematical proofs verify the security of perfectly implemented systems, imperfections in real devices allow attackers to retrieve information. This study uses machine-learning techniques to investigate information leakage via radio-frequency emissions of QKD device electronics. The approach allows researchers and engineers to harden devices against attacks.

Measurement-induced state transitions in a superconducting qubit: Within the rotating-wave approximation

Mostafa Khezri, Alex Opremcak, Zijun Chen, Kevin C. Miao, Matt McEwen, Andreas Bengtsson, Theodore White, Ofer Naaman, Daniel Sank, Alexander N. Korotkov, Yu Chen, and Vadim Smelyanskiy

Phys. Rev. Applied 20, 054008 (2023) - Published 3 November, 2023

Fast nondemolition measurement of superconducting qubits is important for the operation of quantum computers, but readout is constrained by measurement-induced state transitions that shift the qubit population outside of its computational subspace. This work experimentally characterizes the phenomenon and provides an intuitive model to explain its physical process. Surprisingly, the offset charge of the transmon qubit, which is usually ignored, is important in explaining the experiments. These results inform engineering and physics-based solutions to this problem by providing performance limits for the dispersive readout of superconducting qubits.

Cryogenic spin Peltier effect detected by a RuO2AlOx on-chip microthermometer

Takashi Kikkawa, Haruka Kiguchi, Alexey A. Kaverzin, Ryo Takahashi, and Eiji Saitoh

Phys. Rev. Applied 20, 054006 (2023) - Published 2 November, 2023

Exploring low-temperature thermometry, particularly at the micro- to nanoscale, is essential not only for advancing thermoelectric science, but also for the development of quantum technology. The authors present a methodology and an experimental platform based on an on-chip microthermometer, enabling the detection of extremely small temperature changes in thin films, down to tens of nanokelvins. Using this approach, the authors observe the spin Peltier effect (temperature modulation induced by spin current) at 2 K. Their methods have the potential to uncover other low-temperature thermoelectric effects in microdevices, including those made of two-dimensional van der Waals materials.

Piezo-orbital backaction force in a rare-earth-doped crystal

A. Louchet-Chauvet, P. Verlot, J.-P. Poizat, and T. Chanelière

Phys. Rev. Applied 20, 054004 (2023) - Published 1 November, 2023

Hybrid optomechanics can bridge the quantum and classical domains, to generally extend quantum principles to macroscopic scale. A milestone here would be observing the fundamental backaction force that occurs when a hybrid mechanical system is optically probed, which can be dominated by classical thermal effects. Using a large ensemble of rare-earth ions in a crystal plus time-resolved tomography, researchers see this backaction as a tiny distortion of the crystal’s surface around a laser beam’s spot, and unambiguously distinguish the photothermal contribution from that of the backaction. Thus rare-earth ions in crystals are confirmed as a promising platform for hybrid optomechanics.

Multimode Brownian dynamics of a nanomechanical resonator in a viscous fluid

H. Gress, J. Barbish, C. Yanik, I.I. Kaya, R.T. Erdogan, M.S. Hanay, M. González, O. Svitelskiy, M.R. Paul, and K.L. Ekinci

Phys. Rev. Applied 20, 044061 (2023) - Published 24 October, 2023

The ultimate precision attainable in a mechanical measurement can be determined from the random Brownian motion of the mechanical structure, if the nature of the fluctuations is well understood. To this end, the authors study the Brownian fluctuations of a nanomechanical beam in a viscous fluid. Their predictions based on elasticity theory, fluid dynamics, and statistical mechanics agree well with their experiments, indicating that the observed fluctuations come with “viscous memory”, but no spatial correlations. The insights from this work are expected to impact the design of nanoelectromechanical systems, cantilevers for atomic force microscopy, and other mechanical sensors.

Sign In to Your Journals Account

Filter

Filter

Article Lookup

Enter a citation