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
32 papers · 2 filters
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…
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…
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…
Reachable Set Characterization of Open Quantum System by Quantum Speed Limit
Kohei Kobayashi
In recent years, Arenz et al. proposed the idea of reachable set characterization based on the quantum speed limit (QSL); that is, the reachable set of the target unitary gate in a…
Reinforcement Learning Approach to Shortcuts between Thermodynamic States with Extra Constraints
Rongxing Xu
We propose a systematic method based on reinforcement learning (RL) techniques to find the optimal path that can minimize the total entropy production between two equilibrium state…
Simulating Time Evolution with Fully Optimized Single-Qubit Gates on Parameterized Quantum Circuits
Kaito Wada, Rudy Raymond, Yu-ya Ohnishi +4
We propose a novel method to sequentially optimize arbitrary single-qubit gates in parameterized quantum circuits for simulating real and imaginary time evolution. The method utili…
Seeding crystallization in time
Michal Hajdušek, Parvinder Solanki, Rosario Fazio +1
We introduce the concept of seeding of crystallization in time by studying the dynamics of an ensemble of coupled continuous time crystals. We demonstrate that a single subsystem i…
Quantum-Classical Computational Molecular Design of Deuterated High-Efficiency OLED Emitters
Qi Gao, Gavin O. Jones, Michihiko Sugawara +5
This study describes a hybrid quantum-classical computational approach for designing synthesizable deuterated emitters possessing desirable emission quantum efficiencies (Q…
Excited state calculations using variational quantum eigensolver with spin-restricted ansätze and automatically-adjusted constraints
Shigeki Gocho, Hajime Nakamura, Shu Kanno +4
The ground and excited state calculations at key geometries, such as the Frank-Condon (FC) and the conical intersection (CI) geometries, are essential for understanding photophysic…
Application of quantum computing to a linear non-Gaussian acyclic model for novel medical knowledge discovery
Hideaki Kawaguchi
Recently, with the digitalization of medicine, the utilization of real-world medical data collected from clinical sites has been attracting attention. In this study, quantum comput…
Noisy quantum amplitude estimation without noise estimation
Tomoki Tanaka, Shumpei Uno, Tamiya Onodera +2
Many quantum algorithms contain an important subroutine, the quantum amplitude estimation. As the name implies, this is essentially the parameter estimation problem and thus can be…
Beating the thermal limit of qubit initialization with a Bayesian Maxwell's demon
Mark A. I. Johnson, Mateusz T. Mądzik, Fay E. Hudson +5
Fault-tolerant quantum computing requires initializing the quantum register in a well-defined fiducial state. In solid-state systems, this is typically achieved through thermalizat…
Grover search revisited; application to image pattern matching
Hiroyuki Tezuka, Kouhei Nakaji, Takahiko Satoh +1
The landmark Grover algorithm for amplitude amplification serves as an essential subroutine in various type of quantum algorithms, with guaranteed quantum speedup in query complexi…
Quantum-enhanced neural networks in the neural tangent kernel framework
Kouhei Nakaji, Hiroyuki Tezuka, Naoki Yamamoto
Recently, quantum neural networks or quantum-classical neural networks (qcNN) have been actively studied, as a possible alternative to the conventional classical neural network (cN…
Time-resolved physical spectrum in cavity quantum electrodynamics
Makoto Yamaguchi, Alexey Lyasota, Tatsuro Yuge +1
The time-resolved physical spectrum of luminescence is theoretically studied for a standard cavity quantum electrodynamics system. In contrast to the power spectrum for the steady…
Speed limits for two-qubit gates with weakly anharmonic qubits
Sahel Ashhab, Fumiki Yoshihara, Tomoko Fuse +3
We consider the implementation of two-qubit gates when the physical systems used to realize the qubits possess additional quantum states in the accessible energy range. We use opti…
Exponential clustering of bipartite quantum entanglement at arbitrary temperatures
Tomotaka Kuwahara, Keiji Saito
Macroscopic quantum effects play central roles in the appearance of inexplicable phenomena in low-temperature quantum many-body physics. Such macroscopic quantumness is often evalu…
Fast Bayesian tomography of a two-qubit gate set in silicon
T. J. Evans, W. Huang, J. Yoneda +9
Benchmarking and characterising quantum states and logic gates is essential in the development of devices for quantum computing. We introduce a Bayesian approach to self-consistent…
Natural quantum reservoir computing for temporal information processing
Yudai Suzuki, Qi Gao, Ken C. Pradel +2
Reservoir computing is a temporal information processing system that exploits artificial or physical dissipative dynamics to learn a dynamical system and generate the target time-s…
Trainable Discrete Feature Embeddings for Variational Quantum Classifier
Napat Thumwanit, Chayaphol Lortaraprasert, Hiroshi Yano +1
Quantum classifiers provide sophisticated embeddings of input data in Hilbert space promising quantum advantage. The advantage stems from quantum feature maps encoding the inputs i…
Precision tomography of a three-qubit donor quantum processor in silicon
Mateusz T. Mądzik, Serwan Asaad, Akram Youssry +17
Nuclear spins were among the first physical platforms to be considered for quantum information processing, because of their exceptional quantum coherence and atomic-scale footprint…
Decision Diagrams for Quantum Measurements with Shallow Circuits
Stefan Hillmich, Charles Hadfield, Rudy Raymond +2
We consider the problem of estimating quantum observables on a collection of qubits, given as a linear combination of Pauli operators, with shallow quantum circuits consisting of s…