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Reducing the number of qubits in quantum simulations of one dimensional many-body Hamiltonians

2023/08/03 by Somayeh Mehrabankar, Miguel Ángel García-March, Mehrabankar, Somayeh +5
Physics and Astronomy · #FOS: Physical sciences #Opinion Dynamics and Social Influence #Quantum Physics (quant-ph) #Quantum many-body systems #Theoretical and Computational Physics

paper · pdf · doi:10.48550/arxiv.2308.01545

openalex publication_date 2023/08/03 · openalex created_date 2023/08/19 · openalex updated_date 2026/07/30

Abstract

We investigate the Ising and Heisenberg models using the Block Renormalization Group Method (BRGM), focusing on its behavior across different system sizes. The BRGM reduces the number of spins by a factor of 1/2 (1/3) for the Ising (Heisenberg) model, effectively preserving essential physical features of the model while using only a fraction of the spins. Through a comparative analysis, we demonstrate that as the system size increases, there is an exponential convergence between results obtained from the original and renormalized Ising Hamiltonians, provided the coupling constants are redefined accordingly. Remarkably, for a spin chain with 24 spins, all physical features, including magnetization, correlation function, and entanglement entropy, exhibit an exact correspondence with the results from the original Hamiltonian. The study of the Heisenberg model also shows this tendency, although complete convergence may appear for a size much larger than 24 spins, and is therefore beyond our computational capabilities. The success of BRGM in accurately characterizing the Ising model, even with a relatively small number of spins, underscores its robustness and utility in studying complex physical systems, and facilitates its simulation on current NISQ computers, where the available number of qubits is largely constrained.

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