Quantum criticality using a superconducting quantum processor
Maxime Dupont, Joel E. Moore
Abstract
Noisy intermediate-scale quantum (NISQ) computers are a promising platform for solving quantum many-body problems. Here, the authors access the universal properties emerging at the transition between different quantum phases of matter on a superconducting chip, obtain scaling laws and estimate critical exponents. Classical emulations reveal how these estimates converge with larger-scale systems and decreasing noise. Moreover, the authors show that the effect of noise is analogous to that of temperature for the many-body system. It can be accounted for without any prior knowledge through modified scaling laws, enhancing the power of NISQ processors considerably for addressing quantum criticality and potentially other phenomena and algorithms.