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

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

22 April 2020
H. Yamasaki
Sathyawageeswar Subramanian
Sho Sonoda
M. Koashi
ArXivPDFHTML

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

4 / 4 papers shown
Title
Consensus-based Distributed Quantum Kernel Learning for Speech
  Recognition
Consensus-based Distributed Quantum Kernel Learning for Speech Recognition
Kuan-Cheng Chen
Wenxuan Ma
Xiaotian Xu
38
7
0
09 Sep 2024
On the expressivity of embedding quantum kernels
On the expressivity of embedding quantum kernels
Elies Gil-Fuster
Jens Eisert
Vedran Dunjko
27
16
0
25 Sep 2023
Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks
  with Quantum Computation
Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation
H. Yamasaki
Sathyawageeswar Subramanian
Satoshi Hayakawa
Sho Sonoda
MLT
30
4
0
27 Jan 2023
Sharp analysis of low-rank kernel matrix approximations
Sharp analysis of low-rank kernel matrix approximations
Francis R. Bach
80
277
0
09 Aug 2012
1