170 citations · 2.1k across the 78 of their papers we have counts for
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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…
Bosonic Nevanlinna Analytic Continuation
Kosuke Nogaki, Hiroshi Shinaoka
Analytical continuation (AC) connects theoretical calculations and experimentally measurable quantities. The recently proposed Nevanlinna AC method is capable of accurately reprodu…
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…