Abstract
A quantum compiler is one essential and critical component in a quantum computing system to deploy and optimize the quantum programs onto the underlying physical quantum hardware platforms. In this talk, I will first briefly introduce the state-of-the-art quantum compilation and discuss the limitations of its optimizations. In particular, most optimizations in today’s quantum compilers are local program transformations over very few qubits and gates due to the intrinsic scalability issue. We will then introduce how we could potentially overcome this challenge and enable scalable quantum program optimizations, with several recent works on new large-scale quantum compiler optimizations applied at various stages in the workflow of quantum simulation.
Bio
Gushu Li is an Assistant Professor at the Department of Computer and Information Science, University of Pennsylvania. His research interest lies in the emerging quantum computer system and spans the quantum programming language, quantum compiler, and quantum computer architecture. He received the NSF CAREER Award and the Intel Rising Star Faculty Award. His research has been recognized by the ACM SIGPLAN Distinguished Paper Award at OOPSLA 2020 and an NSF Quantum Information Science and Engineering Network Fellow Grant Award. His research outputs have been adopted by several industry/academia quantum software frameworks, including IBM’s Qiskit, Quantinuum’s TKET, Oak Ridge National Lab’s qcor, etc.
