Kouhei Nakaji

University of Toronto — Canada

Computer Science · Physical Sciences

8h-index286citations29works4.82yr avg
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Research Topics

Quantum Computing Algorithms and Architecture(24), Quantum Information and Cryptography(17), Neural Networks and Reservoir Computing(5), Stochastic Gradient Optimization Techniques(4), Particle physics theoretical and experimental studies(3)

Publications29 total

Artificial intelligence for quantum computing
Nature Communications·2025· 6 citedOpen Access
Author response for "Generative quantum combinatorial optimization by means of a novel conditional generative quantum eigensolver"
2025
Author response for "Generative quantum combinatorial optimization by means of a novel conditional generative quantum eigensolver"
2025
Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays
arXiv (Cornell University)·2025Open Access
Generative quantum combinatorial optimization by means of a novel conditional generative quantum eigensolver
arXiv (Cornell University)·2025· 1 citedOpen Access
Generative quantum combinatorial optimization by means of a novel conditional generative quantum eigensolver
Digital Discovery·2025· 1 citedOpen Access
Artificial Intelligence for Quantum Computing
arXiv (Cornell University)·2024· 2 citedOpen Access
Approximate complex amplitude encoding algorithm and its application to data classification problems
Physical review. A/Physical review, A·2024· 15 cited
High-Order Randomized Compiler for Hamiltonian Simulation
PRX Quantum·2024· 18 citedOpen Access
Expressive quantum supervised machine learning using Kerr-nonlinear parametric oscillators
Quantum Machine Intelligence·2024· 4 citedOpen Access
The generative quantum eigensolver (GQE) and its application for ground state search
arXiv (Cornell University)·2024· 6 citedOpen Access
Quantum-classical hybrid neural networks in the neural tangent kernel regime
Quantum Science and Technology·2023· 5 citedOpen Access
Fast quantum algorithm for differential equations
arXiv (Cornell University)·2023· 5 citedOpen Access
Measurement optimization of variational quantum simulation by classical shadow and derandomization
Quantum·2023· 14 citedOpen Access
A composite measurement scheme for efficient quantum observable estimation
arXiv (Cornell University)·2023· 1 citedOpen Access
Expressive Quantum Supervised Machine Learning using Kerr-nonlinear Parametric Oscillators
arXiv (Cornell University)·2023· 1 citedOpen Access
qSWIFT: High-order randomized compiler for Hamiltonian simulation
arXiv (Cornell University)·2023· 1 citedOpen Access
Overfitting in quantum machine learning and entangling dropout
Quantum Machine Intelligence·2022· 34 cited
Deterministic and random features for large-scale quantum kernel machine
arXiv (Cornell University)·2022· 4 citedOpen Access
Measurement optimization of variational quantum simulation by classical shadow and derandomization
arXiv (Cornell University)·2022Open Access
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Frequent Co-authors

Alán Aspuru‐Guzik(11), Naoki Yamamoto(9), Yohichi Suzuki(7), Hiroyuki Tezuka(6), Mohsen Bagherimehrab(4), Yuichiro Matsuzaki(4), Shunya Minami(4), Tadashi Kadowaki(4), Rudy Raymond(3), Tamiya Onodera(3), Tomoki Tanaka(3), Naoki Mitsuda(3), Jin-Sung Kim(3), Elica Kyoseva(3), Shumpei Uno(2), Suguru Endo(2), Hideaki Hakoshima(2), Koichi Hamaguchi(2), Pooja Rao(2), Yuri Alexeev(2)