Near-term fermionic simulation with subspace noise tailored quantum error mitigation
Miha Papič·Alessio Calzona·Emiliano Godinez-Ramirez·Adrian Auer·F. Šimkovic·Inés de Vega·Manuel G. Algaba
Quantum error mitigation (QEM) has emerged as a powerful tool for the extraction of useful quantum information from quantum devices. Here, we introduce the Subspace Noise Tailoring (SNT) algorithm, which efficiently combines the cheap cost of Symmetry Verification (SV) and low bias of Probabilistic Error Cancellation (PEC) QEM techniques. We study the performance of our method by simulating the Trotterized time evolution of the spin-1/2 Fermi-Hubbard model (FHM) using a variety of local fermion-