03 QRE talk – A Survey of Quantum Resource Estimation Tools

Abstract:
Quantum computing offers the potential to solve many currently intractable problems using quantum algorithms. Knowing the resource requirements for important quantum algorithms to run fault-tolerantly is critical for understanding the current hardware capabilities, as well as planning for future hardware advancements. To that end, quantum resource estimation tools attempt to solve this by calculating estimates of those requirements. This presentation reviews four versatile and robust resource estimation tools, pyLIQTR, Qualtran, Azure Quantum Resource Estimator, and BenchQ. The tools are assessed by analyzing their code, documentation, and scientific papers used for building the tools. This survey details the techniques used to produce the estimates, as well as highlights the features that differentiate the tools. In particular, the inputs required by the tools and the produced results are reviewed to allow the audience to have an understanding of each tool's requirements and capabilities to determine which tool would be best for individual use-cases.

About speaker:
Brian is a quantum software developer and independent researcher. He is active in the quantum open source community having contributed to Mitiq, Q# (Azure QRE), BenchQ, and Qibo. As a regular contributor to Mitiq and member of the Unitary Fund community, he has been named a Unitary Fund Ambassador. He completed his BS in Computer Science from UC San Diego and worked at IBM for 14 years as a classical software support engineer, before returning to school for his MSc in Computer Science from Vanderbilt University.