Presentations

Contributed talks

  1. H. Yamasaki, N. Isogai, and M. Murao, “Advantage of Quantum Machine Learning from General Computational Advantages,” 24th Asian Quantum Information Science Conference (AQIS 2024), Sapporo (Hokkaido University), August 2024.
  2. H. Yamasaki, N. Isogai, and M. Murao, “Advantage of Quantum Machine Learning from General Computational Advantages,” 第49回量子技術研究会 (QIT49), Okinawa (OIST), December 2023.

Posters

  1. N. Isogai, M. Murao, and H. Yamasaki, “A Quantum-Inspired Dequantization Method for Diagonally Weighted Matrix Functions: Application to Learning with Optimized Random Features,” 26th Asian Quantum Information Science Conference (AQIS 2026), Daejeon (Korea), August 2026.
  2. N. Isogai, H. Yamasaki, and M. Murao, “Learning with Optimized Random Feature: Quantum-Inspired Classical Sampling without Sparsity and Low-Rank Assumptions,” Quantum Computing Theory in Practice (QCTiP) 2026, Oxford (United Kingdom), April 2026.
  3. N. Isogai, H. Yamasaki, and M. Murao, “Learning with Optimized Random Feature: Quantum-Inspired Classical Sampling without Sparsity and Low-Rank Assumptions,” 29th Quantum Information Processing Conference (QIP 2026), Riga (Latvia), January 2026.
  4. H. Yamasaki, N. Isogai, and M. Murao, “Advantage of Quantum Machine Learning from General Computational Advantages,” Quantum Techniques in Machine Learning (QTML 2025), Singapore, November 2025.
  5. N. Isogai, H. Yamasaki, and M. Murao, “Derandomization of Random Advice for Relational Problems in Heuristic Complexity,” 25th Asian Quantum Information Science Conference (AQIS 2025), Hong Kong, August 2025.
  6. N. Isogai, H. Yamasaki, and M. Murao, “Derandomization of Random Advice for Relational Problems in Heuristic Complexity,” Quantum Innovation 2025, Osaka (Japan), July 2025.
  7. H. Yamasaki, N. Isogai, and M. Murao, “Advantage of Quantum Machine Learning from General Computational Advantages,” International Conference on Quantum Computing, Paris (France), May 2025.
  8. H. Yamasaki, N. Isogai, and M. Murao, “Advantage of Quantum Machine Learning from General Computational Advantages,” 28th Quantum Information Processing Conference (QIP 2025), Raleigh (USA), February 2025.
  9. H. Yamasaki, N. Isogai, and M. Murao, “Advantage of Quantum Machine Learning from General Computational Advantages,” Quantum Innovation 2024, Tokyo (Japan), October 2024.
  10. H. Yamasaki, N. Isogai, and M. Murao, “Advantage of Quantum Machine Learning from General Computational Advantages,” Swiss-Japanese Quantum Symposium, Tokyo (The University of Tokyo), June 2024.