Fermi-Hubbard
Emerging3papers using it
2025first seen
The 'Fermi-Hubbard' dataset/benchmark contains Hamiltonians used to evaluate the performance of quantum optimization algorithms in achieving lower final relative errors to the ground state energy or infidelity.
Papers using Fermi-Hubbard (3)
- Two-Gate Extensions of Free Axis and Free Quaternion Selection for Sequential Optimization of Parameterized Quantum CircuitsEnhancing the reachability of variational quantum algorithms via input-state designSpecial Issue: Commemorating the 110th Anniversary of TANG Au-chin's Birthday Calculation of the Green's function on near-term quantum computers via Cartan decomposition