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
33 papers · 2 filters
Robust phase estimation of the ground-state energy without controlled time evolution on a quantum device
Hiroki Kuji, Yuta Shingu, Tetsuro Nikuni +3
Estimating the ground-state energy of Hamiltonians in quantum systems is an important task. In this work, we demonstrate that the ground-state energy can be accurately estimated wi…
Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search
Thet Htar Su, Shaswot Shresthamali, Masaaki Kondo
This paper introduces a quantum framework for addressing reinforcement learning (RL) tasks, grounded in the quantum principles and leveraging a fully quantum model of the classical…
Metric-induced non-Hermitian physics
Pasquale Marra
I consider the longstanding issue of the hermiticity of the Dirac equation in curved spacetime. Instead of imposing hermiticity by adding ad hoc terms, I renormalize the field by a…
Hamiltonian simulation-based quantum-selected configuration interaction for large-scale electronic structure calculations with a quantum computer
Kenji Sugisaki, Shu Kanno, Toshinari Itoko +2
Quantum-selected configuration interaction (QSCI) is an approach for quantum chemical calculations using current quantum computers. In conventional QSCI, Slater determinants used f…
Double-bracket quantum algorithms for quantum imaginary-time evolution
Marek Gluza, Jeongrak Son, Bi Hong Tiang +5
Efficiently preparing approximate ground-states of large, strongly correlated systems on quantum hardware is challenging and yet nature is innately adept at this. This has motivate…
Quantum kernel learning Model constructed with small data
Takao Tomono, Kazuya Tsujimura
We aim to use quantum machine learning to detect various anomalies in image inspection by using small size data. Assuming the possibility that the expressive power of the quantum k…
Quantum state estimation of multi-partite single photon path entanglement via local measurements
Hikaru Shimizu, Joe Yoshimoto, Kazufumi Tanji +5
Multipartite entanglement plays a critical role in various applications of quantum internet. In these applications, the entanglement is usually shared by the distant parties. Exper…
Certifying the quantumness of a nuclear spin qudit through its uniform precession
Arjen Vaartjes, Martin Nurizzo, Lin Htoo Zaw +16
Spin precession is a textbook example of dynamics of a quantum system that exactly mimics its classical counterpart. Here we challenge this view by certifying the quantumness of ex…
Tensor-based quantum phase difference estimation for large-scale demonstration
Shu Kanno, Kenji Sugisaki, Hajime Nakamura +5
We develop an energy calculation algorithm leveraging quantum phase difference estimation (QPDE) scheme and a tensor-network-based unitary compression method in the preparation of…
Optimization of conveyance of quantum particles by moving potential well
Satoshi Morita, Yoshiaki Teranishi, Seiji Miyashita
Quantum mechanical control of the position of a particle by using a trapping potential well is an important problem for the manipulation of a quantum particle. We study the probabi…
Q-gen: A Parameterized Quantum Circuit Generator
Yikai Mao, Shaswot Shresthamali, Masaaki Kondo
Unlike most classical algorithms that take an input and give the solution directly as an output, quantum algorithms produce a quantum circuit that works as an indirect solution to…
Quantum algorithm for partial differential equations of non-conservative systems with spatially varying parameters
Yuki Sato, Hiroyuki Tezuka, Ruho Kondo +1
Partial differential equations (PDEs) are crucial for modeling various physical phenomena such as heat transfer, fluid flow, and electromagnetic waves. In computer-aided engineerin…
Feedback-driven quantum reservoir computing for time-series analysis
Kaito Kobayashi, Keisuke Fujii, Naoki Yamamoto
Quantum reservoir computing (QRC) is a highly promising computational paradigm that leverages quantum systems as a computational resource for nonlinear information processing. Whil…
Does the full configuration interaction method based on quantum phase estimation with Trotter decomposition satisfy the size consistency condition?
Kenji Sugisaki
Electronic structure calculations of atoms and molecules are considered to be a promising application for quantum computers. Two key algorithms, the quantum phase estimation (QPE)…
Heisenberg-limited adaptive gradient estimation for multiple observables
Kaito Wada, Naoki Yamamoto, Nobuyuki Yoshioka
In quantum mechanics, measuring the expectation value of a general observable has an inherent statistical uncertainty that is quantified by variance or mean squared error of measur…
Engineering Challenges in All-photonic Quantum Repeaters
Naphan Benchasattabuse, Michal Hajdušek, Rodney Van Meter
Quantum networking, heralded as the next frontier in communication networks, envisions a realm where quantum computers and devices collaborate to unlock capabilities beyond what is…
Performance of Quantum Networks Using Heterogeneous Link Architectures
Kento Samuel Soon, Naphan Benchasattabuse, Michal Hajdušek +3
The heterogeneity of quantum link architectures is an essential theme in designing quantum networks for technological interoperability and possibly performance optimization. Howeve…
Optimal Switching Networks for Paired-Egress Bell State Analyzer Pools
Marii Koyama, Claire Yun, Amin Taherkhani +5
To scale quantum computers to useful levels, we must build networks of quantum computational nodes that can share entanglement for use in distributed forms of quantum algorithms. I…
Entanglement-assisted phase estimation algorithm for calculating dynamical response functions
Rei Sakuma, Shu Kanno, Kenji Sugisaki +2
Dynamical response functions are fundamental quantities to describe the excited-state properties in quantum many-body systems. Quantum algorithms have been proposed to evaluate the…
Schrödinger cat states of a nuclear spin qudit in silicon
Xi Yu, Benjamin Wilhelm, Danielle Holmes +17
High-dimensional quantum systems are a valuable resource for quantum information processing. They can be used to encode error-correctable logical qubits, which has been demonstrate…
Adaptive measurement strategy for noisy quantum amplitude estimation with variational quantum circuits
Kohei Oshio, Yohichi Suzuki, Kaito Wada +3
In quantum computation, amplitude estimation is a fundamental subroutine that is utilized in various quantum algorithms. A general important task of such estimation problems is to…
Simulating Floquet scrambling circuits on trapped-ion quantum computers
Kazuhiro Seki, Yuta Kikuchi, Tomoya Hayata +1
Complex quantum many-body dynamics spread initially localized quantum information across the entire system. Information scrambling refers to such a process, whose simulation is one…
Entanglement Swapping in Orbit: a Satellite Quantum Link Case Study
Paolo Fittipaldi, Kentaro Teramoto, Naphan Benchasattabuse +3
Satellite quantum communication is a promising way to build long distance quantum links, making it an essential complement to optical fiber for quantum internetworking beyond metro…
Towards quantum computing for clinical trial design and optimization: A perspective on new opportunities and challenges
Hakan Doga, M. Emre Sahin, Joao Bettencourt-Silva +10
Clinical trials are pivotal in the drug discovery process to determine the safety and efficacy of a drug candidate. The high failure rates of these trials are attributed to deficie…