24 citations · 32 across the 7 of their papers we have counts for
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quant-ph2026
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…
quant-ph2026
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…
quant-ph2026
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…