Physical review. D/Physical review. D.
Large N matrix quantum mechanics as a quantum memory
ChunJun Cao, Gong Cheng, Brian G. Swingle
Abstract
In this paper, we explore the possibility of building a quantum memory that is robust to thermal noise using large $N$ matrix quantum mechanics models. First, we investigate the gauged $SU(N)$ matrix harmonic oscillator and different ways to encode quantum information in it. By calculating the mutual information between the system and a reference which purifies the encoded information, we identify a transition temperature, ${T}_{c}$, below which the encoded quantum information is protected from thermal noise for a memory time scaling as ${N}^{2}$. Conversely, for temperatures higher than ${T}_{c}$, the information is quickly destroyed by thermal noise. Second, we relax the requirement of gauge invariance and study a matrix harmonic oscillator model with only global symmetry. Finally, we further relax even the symmetry requirement and propose a model that consists of a large number ${N}^{2}$ of qubits, with interactions derived from an approximate $SU(N)$ symmetry. In both ungauged models, we find that the effects of gauging can be mimicked using an energy penalty to give a similar result for the memory time. The final qubit model also has the potential to be realized in the laboratory.