Wataru Mizukami

The University of Osaka — Japan

Computer Science · Physical Sciences

24h-index1.6kcitations105works3.82yr avg
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Research Topics

Quantum Computing Algorithms and Architecture(40), Quantum Information and Cryptography(29), Advanced Chemical Physics Studies(20), Quantum and electron transport phenomena(17), Machine Learning in Materials Science(12)

Publications105 total

The Auxiliary-Field Quantum Monte Carlo Method with Seniority-Zero Trial Wave Function
Journal of Chemical Theory and Computation·2025· 2 cited
Quantum Power Iteration Unified Using Generalized Quantum Signal Processing
arXiv (Cornell University)·2025Open Access
Lazy Qubit Reordering for Accelerating Parallel State-Vector-based Quantum Circuit Simulation
ACM Transactions on Quantum Computing·2025Open Access
Comprehensive Study on Heisenberg-limited Quantum Algorithms for Multiple Observables Estimation
arXiv (Cornell University)·2025Open Access
Faster Quantum Algorithm for Multiple Observables Estimation in Fermionic Problems
arXiv (Cornell University)·2025Open Access
Author response for "Bottom-up design of peptide shapes in water using oligomers of N-methyl-L/D-alanine"
2025
Enhancing quantum computations with the synergy of auxiliary field quantum Monte Carlo and computational basis tomography
ArXiv.org·2025Open Access
Auxiliary-field quantum Monte Carlo method with seniority-zero trial wave function
arXiv (Cornell University)·2025Open Access
In vivo multiplexed analysis of aminopeptidase activities by hyperpolarized molecular probes for tumor diagnostic applications
2025Open Access
Author response for "Lowering the Exponential Wall: Accelerating High-Entropy Alloy Catalysts Screening using Local Surface Energy Descriptors from Neural Network Potentials"
2025
Author response for "Lowering the Exponential Wall: Accelerating High-Entropy Alloy Catalysts Screening using Local Surface Energy Descriptors from Neural Network Potentials"
2025
Bottom-up design of peptide shapes in water using oligomers of <i>N</i> -methyl- <scp>l</scp> / <scp>d</scp> -alanine
Chemical Science·2025· 1 citedOpen Access
Lowering the exponential wall: accelerating high-entropy alloy catalysts screening using local surface energy descriptors from neural network potentials
Digital Discovery·2025· 3 citedOpen Access
Taming Multi-Domain, -Fidelity Data: Towards Foundation Models for Atomistic Scale Simulations
arXiv (Cornell University)·2024· 3 citedOpen Access
ADAPT-QSCI: Adaptive Construction of an Input State for Quantum-Selected Configuration Interaction
Journal of Chemical Theory and Computation·2024· 21 cited
Directly monitoring the dynamic in vivo metabolisms of hyperpolarized <sup>13</sup> C-oligopeptides
Science Advances·2024· 4 citedOpen Access
Lazy Qubit Reordering for Accelerating Parallel State-Vector-based Quantum Circuit Simulation
arXiv (Cornell University)·2024Open Access
<i>Ab initio</i> extended Hubbard model of short polyenes for efficient quantum computing
The Journal of Chemical Physics·2024· 5 cited
Author response for "Universal neural network potentials as descriptors: towards scalable chemical property prediction using quantum and classical computers"
2024
Chebyshev Approximated Variational Coupled Cluster for Quantum Computing
arXiv (Cornell University)·2024Open Access
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Frequent Co-authors

Kosuke Mitarai(10), Yuya O. Nakagawa(10), David P. Tew(9), Keisuke Fujii(8), Kazuki Nagashima(6), Guozhu Zhang(6), Takuro Hosomi(6), Masaki Kanai(6), Tsunaki Takahashi(6), Takao Yasui(6), Yuriko Aoki(6), Yoshinobu Baba(6), Takeshi Yanagida(6), Susanna L. Stephens(6), Nicholas R. Walker(6), A. C. Legon(6), Takeshi Yanai(4), Yuki Kurashige(4), Kaoru Mizuta(4), Yu‐ya Ohnishi(3)