24 citations · 32 across the 7 of their papers we have counts for
4 papers · 1 filter
Low-Depth Initial-State Preparation for Ground-State Energy Estimation of Two-Dimensional Strongly Correlated Systems
Ryo Watanabe, Keisuke Fujii
Quantum algorithms for ground-state energy estimation require initial states with non-negligible fidelity to the ground state. Guided by classical simulations, we design shallow ci…
Tensor network surrogate models for variational quantum computation
Ryo Watanabe, Dries Sels, Joseph Tindall
We adopt a two-dimensional tensor-network (TN) ansatz to simulate variational quantum algorithms on two-dimensional qubit architectures, demonstrating its capability to accurately…
Quantum-Inspired Algorithm for Classical Spin Hamiltonians Based on Matrix Product Operators
Ryo Watanabe, Joseph Tindall, Shohei Miyakoshi +1
We propose a tensor-network (TN) approach for solving classical optimization problems that is inspired by spectral filtering and sampling on quantum states. We first shift and scal…
Site-Order Optimization in the Density Matrix Renormalization Group via Multi-Site Rearrangement
Ryo Watanabe, Toshiya Hikihara, Hiroshi Ueda
In the approaches based on matrix-product states (MPSs), such as the density-matrix renormalization group (DMRG) method, the ordering of the sites crucially affects the computation…