HeteroQVM: An End-to-End Optimization Stack for Heterogeneous Quantum Computing

Presenter: Yiyang Zhou

Abstract: Quantum computing exhibits the potential to revolutionize various fields in classical computing by offering significant speed-ups. However, current quantum devices are intermediate-scale and suffer from multiple sources of noise, rendering them incapable of solving complex quantum tasks with high fidelity. A promising solution is the paradigm of heterogeneous quantum computing, where a monolithic workload is deployed onto an architecture of heterogeneous processors to exploit their hybrid computing abilities. It remains, however, a challenge to deploy heterogeneous quantum computing in a unified, automated, and optimized manner.