457 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of CambridgeGB45 papers
- University of NottinghamGB23 papers
- FZU ‒ Institute of Physics of the Academy of Sciences of the Czech RepublicCZ21 papers
- Hitachi (Japan)JP13 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR8 papers
- Laboratoire d'Électronique des Technologies de l'InformationFR8 papers
- Donostia International Physics CenterES7 papers
- Hitachi Global Storage Technologies (United States)US7 papers
- CEA GrenobleFR6 papers
- Texas A&M UniversityUS6 papers
- University of ExeterGB6 papers
- Chinese Academy of SciencesCN5 papers
23 papers · 1 filter
Excited State Spectroscopy of Boron Vacancy Defects in Hexagonal Boron Nitride using Time-Resolved Optically Detected Magnetic Resonance
Simon Baber, Ralph N. E. Malein, Prince Khatri +5
We report optically detected magnetic resonance (ODMR) measurements of an ensemble of spin-1 negatively charged boron vacancies in hexagonal boron nitride. The photoluminescence de…
Dynamics of hole singlet triplet qubits with large g-factor differences
Daniel Jirovec, Philipp M. Mutter, Andrea Hofmann +8
The spin-orbit interaction is the key element for electrically tunable spin qubits. Here we probe the effect of cubic Rashba spin-orbit interaction on mixing of the spin states by…
Negative quasiprobabilities enhance phase estimation in quantum-optics experiment
Noah B. Lupu-Gladstein, Batuhan Y. Yilmaz, David R. M. Arvidsson-Shukur +4
Operator noncommutation, a hallmark of quantum theory, limits measurement precision, according to uncertainty principles. Wielded correctly, though, noncommutation can boost precis…
Non-reciprocal Pauli Spin Blockade in a Silicon Double Quantum Dot
Theodor Lundberg, David J. Ibberson, Jing Li +12
Spin qubits in gate-defined silicon quantum dots are receiving increased attention thanks to their potential for large-scale quantum computing. Readout of such spin qubits is done…
Evolutionary Computation-Assisted Brainwriting for Large-Scale Online Ideation
Nobuo Namura, Tatsuya Hasebe
Brainstorming is an effective technique for offline ideation although the number of participants able to join an ideation session and suggest ideas is limited. To increase the dive…
Data-driven Residual Generation for Early Fault Detection with Limited Data
Hamed Khorasgani, Ahmed Farahat, Chetan Gupta
Traditionally, fault detection and isolation community has used system dynamic equations to generate diagnosers and to analyze detectability and isolability of the dynamic systems.…
An Offline Deep Reinforcement Learning for Maintenance Decision-Making
Hamed Khorasgani, Haiyan Wang, Chetan Gupta +1
Several machine learning and deep learning frameworks have been proposed to solve remaining useful life estimation and failure prediction problems in recent years. Having access to…
Inertial domain wall characterization in layered multisublattice antiferromagnets
R. Rama-Eiroa, P. E. Roy, J. M. González +3
The motion of a Néel-like domain wall induced by a time-dependent staggered spin-orbit field in the layered collinear antiferromagnet MnAu is explored. Through…
Calibration Method of the Monocular Omnidirectional Stereo Camera
Ryota Kawamata, Keiichi Betsui, Kazuyoshi Yamazaki +2
Compact and low-cost devices are needed for autonomous driving to image and measure distances to objects 360-degree around. We have been developing an omnidirectional stereo camera…
Polarization dependent scattering in cavity optomagnonics
J. A. Haigh, A. Nunnenkamp, A. J. Ramsay
The polarization dependence of magnon-photon scattering in an optical microcavity is reported. Due to the short cavity length, the mode-matching conditions found in previously expl…
Cavity Magnonics
Babak Zare Rameshti, Silvia Viola Kusminskiy, James A. Haigh +7
Cavity magnonics deals with the interaction of magnons - elementary excitations in magnetic materials - and confined electromagnetic fields. We introduce the basic physics and revi…
Topological energy release from collision of relativistic antiferromagnetic solitons
R. M. Otxoa, R. Rama-Eiroa, P. E. Roy +3
Magnetic solitons offer functionalities as information carriers in multiple spintronic and magnonic applications. However, their potential for nanoscale energy transport has not be…
Semi-Supervised Training with Pseudo-Labeling for End-to-End Neural Diarization
Yuki Takashima, Yusuke Fujita, Shota Horiguchi +3
In this paper, we present a semi-supervised training technique using pseudo-labeling for end-to-end neural diarization (EEND). The EEND system has shown promising performance compa…
4.2 K Sensitivity-Tunable Radio Frequency Reflectometry of a Physically Defined P-channel Silicon Quantum Dot
Sinan Bugu, Shimpei Nishiyama, Kimihiko Kato +5
We demonstrate the measurement of p-channel silicon-on-insulator quantum dots at liquid helium temperatures by using a radio frequency (rf) reflectometry circuit comprising of two…
Dirac Quantum Wells at Domain Walls in Antiferromagnetic Topological Insulators
N. B. Devlin, T. Ferrus, C. H. W. Barnes
We explore the emergence of spin-polarised flat-bands at head-to-head domain walls in a recently predicted class of antiferromagnetic topological insulators hosting planar magnetis…
Efficient Bayesian Optimization using Multiscale Graph Correlation
Takuya Kanazawa
Bayesian optimization is a powerful tool to optimize a black-box function, the evaluation of which is time-consuming or costly. In this paper, we propose a new approach to Bayesian…
Deep Time Series Models for Scarce Data
Qiyao Wang, Ahmed Farahat, Chetan Gupta +1
Time series data have grown at an explosive rate in numerous domains and have stimulated a surge of time series modeling research. A comprehensive comparison of different time seri…
Flow-based Self-supervised Density Estimation for Anomalous Sound Detection
Kota Dohi, Takashi Endo, Harsh Purohit +2
To develop a machine sound monitoring system, a method for detecting anomalous sound is proposed. Exact likelihood estimation using Normalizing Flows is a promising technique for u…
QPIC: Query-Based Pairwise Human-Object Interaction Detection with Image-Wide Contextual Information
Masato Tamura, Hiroki Ohashi, Tomoaki Yoshinaga
We propose a simple, intuitive yet powerful method for human-object interaction (HOI) detection. HOIs are so diverse in spatial distribution in an image that existing CNN-based met…
Stimulated Emission Depletion Microscopy with Color Centers in Hexagonal Boron Nitride
Prince Khatri, Ralph Nicholas Edward Malein, Andrew J. Ramsay +1
Stimulated emission depletion, or STED microscopy is a well-established super-resolution technique, but is ultimately limited by the chosen flourophore. Here we demonstrate STED mi…
Spatial Attention Point Network for Deep-learning-based Robust Autonomous Robot Motion Generation
Hideyuki Ichiwara, Hiroshi Ito, Kenjiro Yamamoto +2
Deep learning provides a powerful framework for automated acquisition of complex robotic motions. However, despite a certain degree of generalization, the need for vast amounts of…
Non-galvanic calibration and operation of a quantum dot thermometer
J. M. A. Chawner, S. Barraud, M. F. Gonzalez-Zalba +4
A cryogenic quantum dot thermometer is calibrated and operated using only a single non-galvanic gate connection. The thermometer is probed with radio-frequency reflectometry and ca…
Online Streaming End-to-End Neural Diarization Handling Overlapping Speech and Flexible Numbers of Speakers
Yawen Xue, Shota Horiguchi, Yusuke Fujita +4
We propose a streaming diarization method based on an end-to-end neural diarization (EEND) model, which handles flexible numbers of speakers and overlapping speech. In our previous…