Jordan Hines

Quantum processors are starting to perform the primitives needed to build a fault-tolerant quantum computer, a critical step on the way to utility-scale quantum computers. These primitives are expensive, and they remain error-prone on the highly space-limited quantum processors available today and in the near future. In this talk, I will show how detailed hierarchical modeling of fault-tolerant primitives leads to insight into how hardware noise mechanisms impact quantum error correction. Building upon that understanding of errors and drawing on fault-tolerant architecture and quantum algorithms, I will discuss how to benchmark quantum processors as they transition from the noisy intermediate scale to the early fault tolerant scale.