Simulating Electrons on LUMI + VTT Q50: Benchmarking Fermi-Hubbard Model VQE

How can we simulate the complex behavior of electrons with today’s computing power?

Simulating electrons is one of the key challenges in condensed matter physics and materials science. Problems such as finding the ground state energy of the Fermi–Hubbard model are expected to be among the first real-world cases to demonstrate quantum advantage on near-term quantum computers.

In this FiQCI blog, researchers explore a hybrid quantum–classical algorithm — the Variational Quantum Eigensolver (VQE) — to tackle this problem. They share results from running the algorithm on the LUMI supercomputer together with the VTT Q50 quantum computer, and present benchmarking insights on how circuit design and compiler choices affect performance.

Read the blog on FiQCI web page.

Front card image: Adobe Stock