Quantum Brain
← Back to papers

Digital-Analog Quantum Simulation of Fermionic Models

L. Céleri, D. Huerga, F. Albarr'an-Arriagada, E. Solano, Mikel Garcia de Andoin, M. Sanz·March 29, 2021·DOI: 10.1103/PhysRevApplied.19.064086
Physics

AI Breakdown

Get a structured breakdown of this paper — what it's about, the core idea, and key takeaways for the field.

Abstract

Simulating quantum many-body systems is a highly demanding task since the required resources grow exponentially with the dimension of the system. In the case of fermionic systems, this is even harder since nonlocal interactions emerge due to the antisymmetric character of the fermionic wave function. Here, we introduce a digital-analog quantum algorithm to simulate a wide class of fermionic Hamiltonians including the paradigmatic one-dimensional Fermi-Hubbard model. These digital-analog methods allow quantum algorithms to run beyond digital versions via an efficient use of coherence time. Furthermore, we exemplify our techniques with a low-connected architecture for realistic digital-analog implementations of specific fermionic models.

Related Research

Quantum Intelligence

Ask about quantum research, companies, or market developments.