11 citations
- Fujitsu (Japan)JP12 papers
- The University of TokyoJP5 papers
- Fujitsu (United States)US4 papers
- University of Illinois Urbana-ChampaignUS2 papers
- Ames Research CenterUS1 paper
- Arizona State UniversityUS1 paper
- Barcelona Supercomputing CenterES1 paper
- Carnegie Mellon UniversityUS1 paper
- Computing CenterRU1 paper
- Delft University of TechnologyNL1 paper
- Fujitsu (United Kingdom)GB1 paper
- Hokkaido UniversityJP1 paper
5 papers · 1 filter
Transferability of the chemical bond-based machine learning model for dipole moment: the GHz to THz dielectric properties of liquid propylene glycol and polypropylene glycol
Tomohito Amano, Tamio Yamazaki, Naoki Matsumura +2
We conducted a first-principles study of the dielectric properties of liquid propylene glycol (PG) and polypropylene glycol (PPG) using a recently developed chemical bond-based mac…
Ratio Divergence Learning Using Target Energy in Restricted Boltzmann Machines: Beyond Kullback--Leibler Divergence Learning
Yuichi Ishida, Yuma Ichikawa, Aki Dote +2
We propose ratio divergence (RD) learning for discrete energy-based models, a method that utilizes both training data and a tractable target energy function. We apply RD learning t…
Survey on Computational Applications of Tensor Network Simulations
Marcos Díez García, Antonio Márquez Romero
Tensor networks are a popular and computationally efficient approach to simulate general quantum systems on classical computers and, in a broader sense, a framework for dealing wit…
Quantum Curriculum Learning
Quoc Hoan Tran, Yasuhiro Endo, Hirotaka Oshima
Quantum machine learning (QML) requires significant quantum resources to address practical real-world problems. When the underlying quantum information exhibits hierarchical struct…
Imposing Constraints on Driver Hamiltonians and Mixing Operators: From Theory to Practical Implementation
Hannes Leipold, Federico M. Spedalieri, Stuart Hadfield +1
Driver Hamiltonians and Mixing Operators that satisfy constraints is an important part of ansatz construction for many quantum algorithms. In this manuscript, we give general algeb…