Quantum Criticality Using a Superconducting Quantum Processor

Kavli Affiliate: Joel E. Moore

| First 5 Authors: Maxime Dupont, Joel E. Moore, , ,

| Summary:

Quantum criticality emerges from the collective behavior of many interacting
quantum particles, often at the transition between different phases of matter.
It is one of the cornerstones of condensed matter physics, which we access on
noisy intermediate-scale (NISQ) quantum devices by leveraging a
dynamically-driven phenomenon. We probe the critical properties of the
one-dimensional quantum Ising model on a programmable superconducting quantum
chip via a Kibble-Zurek process, obtain scaling laws, and estimate critical
exponents despite inherent sources of errors on the hardware. A one-parameter
noise model captures the effect of imperfections and reproduces the
experimental data. Its systematic study reveals that the noise, analogously to
temperature, induces a new length scale in the system. We introduce and
successfully verify modified scaling laws, directly accounting for the noise
without any prior knowledge, enhancing the power of NISQ processors
considerably for addressing quantum criticality and potentially other phenomena
and algorithms.

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