Hayata Yamasaki

According to our database, Hayata Yamasaki authored at least 10 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Advantage of Quantum Machine Learning from General Computational Advantages.

Hayata Yamasaki, Natsuto Isogai, Mio Murao

CoRR, 2023

Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation.

Hayata Yamasaki, Sathyawageeswar Subramanian, Satoshi Hayakawa, Sho Sonoda

Proceedings of the International Conference on Machine Learning, 2023

2022

Activation of genuine multipartite entanglement: Beyond the single-copy paradigm of entanglement characterisation.

Hayata Yamasaki, Simon Morelli, Markus Miethlinger, Jessica Bavaresco, Nicolai Friis, Marcus Huber

Quantum, 2022

2021

Hierarchy of quantum operations in manipulating coherence and entanglement.

Hayata Yamasaki, Madhav Krishnan Vijayan, Min-Hsiu Hsieh

Quantum, 2021

Stochastic Gradient Line Bayesian Optimization: Reducing Measurement Shots in Optimizing Parameterized Quantum Circuits.

Shiro Tamiya, Hayata Yamasaki

CoRR, 2021

Exponential Error Convergence in Data Classification with Optimized Random Features: Acceleration by Quantum Machine Learning.

Hayata Yamasaki, Sho Sonoda

CoRR, 2021

2020

General Quantum Resource Theories: Distillation, Formation and Consistent Resource Measures.

Kohdai Kuroiwa, Hayata Yamasaki

Quantum, 2020

Fast Quantum Algorithm for Learning with Optimized Random Features.

Hayata Yamasaki, Sathyawageeswar Subramanian, Sho Sonoda, Masato Koashi

CoRR, 2020

Learning with Optimized Random Features: Exponential Speedup by Quantum Machine Learning without Sparsity and Low-Rank Assumptions.

Hayata Yamasaki, Sathyawageeswar Subramanian, Sho Sonoda, Masato Koashi

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Quantum State Merging for Arbitrarily Small-Dimensional Systems.

Hayata Yamasaki, Mio Murao

IEEE Trans. Inf. Theory, 2019