3 papers
quant-ph2025
Optimizing two-dimensional isometric tensor networks with quantum computers
Sebastian Leontica, Alberto Baiardi, Julian Schuhmacher +2
We propose a hybrid quantum-classical algorithm for approximating the ground state of two-dimensional quantum systems using an isometric tensor network ansatz, which maps naturally…
quant-ph2025
An unbiased measure over the matrix product state manifold
Sebastian Leontica, Andrew G. Green
Matrix product states are useful representations for a large variety of naturally occurring quantum states. Studying their typical properties is important for understanding univers…
quant-ph2024
Zero-point energy of tensor fluctuations on the MPS manifold
Sebastian Leontica, Andrew G. Green
This work presents a method for studying low-energy physics in highly correlated magnetic systems using the matrix product state (MPS) manifold. We adapt the spin-wave approach, wh…