Eguna: 2025/03/20
Ordua: 11:40
Lekua: Aula 1.A1 gela

Quantum centric HPC in action: tensornetwork enhanced multi-product formulas for Hamiltonian time evolution

ABSTRACT

We introduce a novel algorithm that combines tensor networks and quantum computation to produce results that are more accurate than what
could be achieved by either method used in isolation. Our algorithm is based on multiproduct formulas (MPF) - a technique that linearly
combines Trotter product formulas to reduce algorithmic error. It uses a quantum computer to calculate the expectation values and tensor
networks to calculate the coefficients used in the linear combination. We present a detailed error analysis of the algorithm and demonstrate the full
workflow on a one-dimensional quantum simulation problem on 50 qubits using two IBM quantum computers: ibm_torino and ibm_kyiv.