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quant-ph2024
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…
quant-ph2023
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…