The International Conference for High Performance Computing, Networking, Storage, and Analysis
The International Conference for High Performance Computing, Networking, Storage, and Analysis
Poster Type: ACM Student Research Competition, Graduate
Author: Nathan Jones (Clemson University), Akhilesh Bondapalli (Clemson University), Toby Cox (Clemson University), Ian Lewis (Clemson University), Rong Ge (Clemson University)
Supervisor: Rong Ge (Clemson University)
Abstract: Effectively leveraging quantum computing requires generating and manipulating a desired quantum state using a quantum circuit. Quantum circuit synthesis (QCS) is bottlenecked by the exponential complexity of circuit verification via quantum simulation. Diffusion models are promising QCS candidates, because they circumvent quantum simulation during training. Existing diffusion-based QCS models demonstrate success for unconstrained circuits, but prove insufficient for producing hardware topology-constrained circuits—a common restriction for modern quantum machines. This work introduces a novel hardware-aware conditioning framework that enables topology-constrained QCS. Our approach delivers up to 8x higher success rate compared to the baseline for a state-of-the-art hardware-agnostic QCS model, proving the necessity for hardware-aware QCS.
Best Poster Finalist (BP): no
Poster: PDF
Poster Summary: PDF