59 citations · 167 across the 9 of their papers we have counts for
3 papers · 1 filter
Adaptive sampling-based optimization of quantics tensor trains for noisy functions: applications to quantum simulations
Kohtaroh Sakaue, Hiroshi Shinaoka, Rihito Sakurai
Tensor cross interpolation (TCI) is a powerful technique for learning a tensor train (TT) by adaptively sampling a target tensor based on an interpolation formula. However, when th…
Comparative study on compact quantum circuits of hybrid quantum-classical algorithms for quantum impurity models
Rihito Sakurai, Oliver J. Backhouse, George H. Booth +2
Predicting the properties of strongly correlated materials is a significant challenge in condensed matter theory. The widely used dynamical mean-field theory faces difficulty in so…
Hybrid quantum-classical algorithm for computing imaginary-time correlation functions
Rihito Sakurai, Wataru Mizukami, Hiroshi Shinaoka
Quantitative descriptions of strongly correlated materials pose a considerable challenge in condensed matter physics and chemistry. A promising approach to address this problem is…