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Hayata Yamasaki
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2020 – today
- 2023
- [c2]Hayata Yamasaki, Sathyawageeswar Subramanian, Satoshi Hayakawa, Sho Sonoda:
Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation. ICML 2023: 39008-39034 - [i5]Hayata Yamasaki, Sathyawageeswar Subramanian, Satoshi Hayakawa, Sho Sonoda:
Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation. CoRR abs/2301.11936 (2023) - [i4]Hayata Yamasaki, Natsuto Isogai, Mio Murao:
Advantage of Quantum Machine Learning from General Computational Advantages. CoRR abs/2312.03057 (2023) - 2022
- [j4]Hayata Yamasaki, Simon Morelli
, Markus Miethlinger
Activation of genuine multipartite entanglement: Beyond the single-copy paradigm of entanglement characterisation. Quantum 6: 695 (2022) - 2021
- [j3]Hayata Yamasaki, Madhav Krishnan Vijayan
Hierarchy of quantum operations in manipulating coherence and entanglement. Quantum 5: 480 (2021) - [i3]Hayata Yamasaki, Sho Sonoda:
Exponential Error Convergence in Data Classification with Optimized Random Features: Acceleration by Quantum Machine Learning. CoRR abs/2106.09028 (2021) - [i2]Shiro Tamiya, Hayata Yamasaki:
Stochastic Gradient Line Bayesian Optimization: Reducing Measurement Shots in Optimizing Parameterized Quantum Circuits. CoRR abs/2111.07952 (2021) - 2020
- [j2]Kohdai Kuroiwa
General Quantum Resource Theories: Distillation, Formation and Consistent Resource Measures. Quantum 4: 355 (2020) - [c1]Hayata Yamasaki, Sathyawageeswar Subramanian, Sho Sonoda, Masato Koashi:
Learning with Optimized Random Features: Exponential Speedup by Quantum Machine Learning without Sparsity and Low-Rank Assumptions. NeurIPS 2020 - [i1]Hayata Yamasaki, Sathyawageeswar Subramanian, Sho Sonoda, Masato Koashi:
Fast Quantum Algorithm for Learning with Optimized Random Features. CoRR abs/2004.10756 (2020)
2010 – 2019
- 2019
- [j1]Hayata Yamasaki
Quantum State Merging for Arbitrarily Small-Dimensional Systems. IEEE Trans. Inf. Theory 65(6): 3950-3972 (2019)
Coauthor Index
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