975 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- The University of TokyoJP429 papers
- Kyoto UniversityJP151 papers
- RIKENJP142 papers
- Tokyo Institute of TechnologyJP134 papers
- High Energy Accelerator Research OrganizationJP100 papers
- Tohoku UniversityJP100 papers
- Nagoya UniversityJP97 papers
- The University of OsakaJP96 papers
- Tokyo University of ScienceJP90 papers
- Japan Science and Technology AgencyJP68 papers
- UNSW SydneyAU63 papers
- Centre National de la Recherche ScientifiqueFR62 papers
184 papers · 1 filter
Simultaneous execution of quantum circuits on current and near-future NISQ systems
Yasuhiro Ohkura, Takahiko Satoh, Rodney Van Meter
In the NISQ era, multi-programming of quantum circuits (QC) helps to improve the throughput of quantum computation. Although the crosstalk, which is a major source of noise on NISQ…
Resurgence and semiclassical expansion in two-dimensional large- sigma models
Hiromichi Nishimura, Toshiaki Fujimori, Tatsuhiro Misumi +2
The resurgence structure of the 2d sigma model at large is studied with a focus on an IR momentum cutoff scale that regularizes IR singularities in the semiclassical…
Preparing ground states of the XXZ model using the quantum annealing with inductively coupled superconducting flux qubits
Takashi Imoto, Yuya Seki, Yuichiro Matsuzaki
Preparing ground states of Hamiltonians is important in the condensed matter physics and the quantum chemistry. The interaction Hamiltonians typically contain not only diagonal but…
Deterministic generation of a perfect soliton crystal with a saturable absorber
Ayata Nakashima, Shun Fujii, Riku Imamura +2
We numerically investigate the deterministic generation of a perfect soliton crystal (PSC) in an optical microresonator functionalized with a saturable absorber (SA). The SA allows…
Dissipative Kerr soliton microcombs for FEC-free optical communications over 100 channels
Shun Fujii, Shuya Tanaka, Tamiki Ohtsuka +11
The demand for high-speed and highly efficient optical communication techniques has been rapidly growing due to the ever-increasing volume of data traffic. As well as the digital c…
Cartan Connections and Integrable Vortex Equations
Calum Ross
We demonstrate that integrable abelian vortex equations on constant curvature Riemann surfaces can be reinterpreted as flat non-abelian Cartan connections. By lifting to three dime…
Charge-ordered state satisfying the Anderson condition in LiRh2O4 arising from local dimer order
Manabu Shiomi, Keita Kojima, Naoyuki Katayama +8
We report on the charge-ordered structure of LiRh2O4 arising below the metal-insulator transition at 170 K. Structural studies using synchrotron X-rays have revealed that the charg…
QuISP: a Quantum Internet Simulation Package
Ryosuke Satoh, Michal Hajdušek, Naphan Benchasattabuse +7
We present an event-driven simulation package called QuISP for large-scale quantum networks built on top of the OMNeT++ discrete event simulation framework. Although the behavior o…
A Quantum Internet Architecture
Rodney Van Meter, Ryosuke Satoh, Naphan Benchasattabuse +5
Entangled quantum communication is advancing rapidly, with laboratory and metropolitan testbeds under development, but to date there is no unifying Quantum Internet architecture. W…
Vector DC magnetic-field sensing with reference microwave field using perfectly aligned nitrogen-vacancy centers in diamond
Takuya Isogawa, Yuichiro Matsuzaki, Junko Ishi-Hayase
The measurement of vector magnetic fields with high sensitivity and spatial resolution is important for both fundamental science and engineering applications. In particular, magnet…
Phases of rotating baryonic matter: non-Abelian chiral soliton lattices, antiferro-isospin chains, and ferri/ferromagnetic magnetization
Minoru Eto, Kentaro Nishimura, Muneto Nitta
A chiral soliton lattice (CSL), proposed as the ground state of rotating baryonic matter at a finite density, is shown to be unstable in a large parameter region for two flavors ow…
Operational solar flare prediction model using Deep Flare Net
Naoto Nishizuka, Yuki Kubo, Komei Sugiura +2
We developed an operational solar flare prediction model using deep neural networks, named Deep Flare Net (DeFN). DeFN can issue probabilistic forecasts of solar flares in two cate…
LatteGAN: Visually Guided Language Attention for Multi-Turn Text-Conditioned Image Manipulation
Shoya Matsumori, Yuki Abe, Kosuke Shingyouchi +2
Text-guided image manipulation tasks have recently gained attention in the vision-and-language community. While most of the prior studies focused on single-turn manipulation, our g…
Lattice fermions as spectral graphs
Jun Yumoto, Tatsuhiro Misumi
We study lattice fermions from the viewpoint of spectral graph theory (SGT). We find that a fermion defined on a certain lattice is identified as a spectral graph. SGT helps us inv…
Transport and modeling of subgrid-scale turbulent kinetic energy in channel flows
Kazuhiro Inagaki, Hiromichi Kobayashi
To develop a more convenient subgrid-scale (SGS) model that performs well even in coarse grid cases, we investigate the transport and modeling of SGS turbulent kinetic energy (here…
Existence and regularity for prescribed Lorentzian mean curvature hypersurfaces, and the Born-Infeld model
Jaeyoung Byeon, Norihisa Ikoma, Andrea Malchiodi +1
Given a measure on a domain , we study spacelike graphs over in Minkowski space with Lorentzian mean curvature and Dirichlet boundary condition o…
Topologically-protected single-photon sources with topological slow light photonic crystal waveguides
Kazuhiro Kuruma, Hironobu Yoshimi, Yasutomo Ota +4
Slow light waveguides are advantageous for implementing high-performance single-photon sources required for scalable operation of integrated quantum photonic circuits (IQPCs), thou…
Transformations, symmetries and Noether theorems for differential-difference equations
Linyu Peng, Peter E Hydon
The first part of this paper develops a geometric setting for differential-difference equations that resolves an open question about the extent to which continuous symmetries can d…
Robust training approach of neural networks for fluid flow state estimations
Taichi Nakamura, Koji Fukagata
State estimation from limited sensor measurements is ubiquitously found as a common challenge in a broad range of fields including mechanics, astronomy, and geophysics. Fluid mecha…
A topology optimisation of acoustic devices based on the frequency response estimation with the Padé approximation
Yuta Honshuku, Hiroshi Isakari
We propose a topology optimisation of acoustic devices that work in a certain bandwidth. To achieve this, we define the objective function as the frequency-averaged sound intensity…
Disparities in Dermatology AI: Assessments Using Diverse Clinical Images
Roxana Daneshjou, Kailas Vodrahalli, Weixin Liang +14
More than 3 billion people lack access to care for skin disease. AI diagnostic tools may aid in early skin cancer detection; however most models have not been assessed on images of…
The Present and Future of Discrete Logarithm Problems on Noisy Quantum Computers
Yoshinori Aono, Sitong Liu, Tomoki Tanaka +4
The discrete logarithm problem (DLP) is the basis for several cryptographic primitives. Since Shor's work, it has been known that the DLP can be solved by combining a polynomial-si…
Nation-wide Mood: Large-scale Estimation of People's Mood from Web Search Query and Mobile Sensor Data
Wataru Sasaki, Hiroshi Kawane, Satoko Miyahara +2
The ability to estimate the current affective statuses of web users has considerable potential for the realization of user-centric services in the society. However, in real-world w…
Lattice Lindblad simulation
Tomoya Hayata, Yoshimasa Hidaka, Arata Yamamoto
We perform the real-time lattice simulation of an open quantum system, which is based on the Schwinger-Keldysh path integral representation of the Lindblad formalism. Although the…