Hayata Yamasaki

12 papers A* 2Journal 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
Classical simulation and quantum resource theory of non-Gaussian optics.
Quantum
Oliver Hahn, Ryuji Takagi, Giulia Ferrini, Hayata Yamasaki
2023 J jnl
Advantage of Quantum Machine Learning from General Computational Advantages.
CoRR
Hayata Yamasaki, Natsuto Isogai, Mio Murao
2023 A* conf
Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation.
ICML
Hayata Yamasaki, Sathyawageeswar Subramanian, Satoshi Hayakawa, Sho Sonoda
2023 J jnl
Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation.
CoRR
Hayata Yamasaki, Sathyawageeswar Subramanian, Satoshi Hayakawa, Sho Sonoda
2022 J jnl
Activation of genuine multipartite entanglement: Beyond the single-copy paradigm of entanglement characterisation.
Quantum
Hayata Yamasaki, Simon Morelli, Markus Miethlinger, Jessica Bavaresco, Nicolai Friis, Marcus Huber
2021 J jnl
Exponential Error Convergence in Data Classification with Optimized Random Features: Acceleration by Quantum Machine Learning.
CoRR
Hayata Yamasaki, Sho Sonoda
2021 J jnl
Hierarchy of quantum operations in manipulating coherence and entanglement.
Quantum
Hayata Yamasaki, Madhav Krishnan Vijayan, Min-Hsiu Hsieh
2021 J jnl
Stochastic Gradient Line Bayesian Optimization: Reducing Measurement Shots in Optimizing Parameterized Quantum Circuits.
CoRR
Shiro Tamiya, Hayata Yamasaki
2020 J jnl
Fast Quantum Algorithm for Learning with Optimized Random Features.
CoRR
Hayata Yamasaki, Sathyawageeswar Subramanian, Sho Sonoda, Masato Koashi
2020 J jnl
General Quantum Resource Theories: Distillation, Formation and Consistent Resource Measures.
Quantum
Kohdai Kuroiwa, Hayata Yamasaki
2020 A* conf
Learning with Optimized Random Features: Exponential Speedup by Quantum Machine Learning without Sparsity and Low-Rank Assumptions.
NeurIPS
Hayata Yamasaki, Sathyawageeswar Subramanian, Sho Sonoda, Masato Koashi
2019 J jnl
Quantum State Merging for Arbitrarily Small-Dimensional Systems.
IEEE Trans. Inf. Theory
Hayata Yamasaki, Mio Murao