Presentation
Benchmarking Quantum-Inspired Optimization Platforms and Tools on an HPC Cluster
DescriptionThis work compares performance of various QUBO software tools on different platforms available on the Sol supercomputer at Arizona State University. CPU, GPU and the NEC vector engine (VE) card provide various means to implement these computations on simulated qubits while employing various solvers, including simulated quantum annealing. As current quantum hardware cannot reach the scale of many real-world problems, these simulations give a sense of the potential future technology.
Although this particular work is complete, there remains potential to expand on it by researching other types of NP-Hard optimization problems and implementing other solvers. We will present plots illustrating the results of the performance and accuracy benchmarking.
Although this particular work is complete, there remains potential to expand on it by researching other types of NP-Hard optimization problems and implementing other solvers. We will present plots illustrating the results of the performance and accuracy benchmarking.

Event Type
ACM Student Research Competition: Graduate Poster
ACM Student Research Competition: Undergraduate Poster
Doctoral Showcase
Posters
TimeTuesday, 19 November 202412pm - 5pm EST
LocationB302-B305
TP
XO/EX