70 citations · 83 across the 6 of their papers we have counts for
6 papers
Accurate and Fast Geometry Optimization with Time Estimation and Method Switching
Satoshi Imamura, Akihiko Kasagi, Eiji Yoshida
Geometry optimization is an important task in quantum chemical calculations to analyze the characteristics of molecules. A top concern on it is a long execution time because time-c…
Automatic Algorithm Switching for Accurate Quantum Chemical Calculations
Satoshi Imamura, Akihiko Kasagi, Eiji Yoshida
Quantum chemical calculations (QCC) are computational techniques to analyze the characteristics of molecules. The variational quantum eigensolver (VQE) designed for noisy intermedi…
Towards Accurate Quantum Chemical Calculations on Noisy Quantum Computers
Naoki Iijima, Satoshi Imamura, Mikio Morita +4
Variational quantum eigensolver (VQE) is a hybrid quantum-classical algorithm designed for noisy intermediate-scale quantum (NISQ) computers. It is promising for quantum chemical c…
mpiQulacs: A Distributed Quantum Computer Simulator for A64FX-based Cluster Systems
Satoshi Imamura, Masafumi Yamazaki, Takumi Honda +5
Quantum computer simulators running on classical computers are essential for developing real quantum computers and emerging quantum applications. In particular, state vector simula…
MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems
Steven Farrell, Murali Emani, Jacob Balma +40
Scientific communities are increasingly adopting machine learning and deep learning models in their applications to accelerate scientific insights. High performance computing syste…
Yet Another Accelerated SGD: ResNet-50 Training on ImageNet in 74.7 seconds
Masafumi Yamazaki, Akihiko Kasagi, Akihiro Tabuchi +6
There has been a strong demand for algorithms that can execute machine learning as faster as possible and the speed of deep learning has accelerated by 30 times only in the past tw…