Abdullah Ash Saki

Accelerating Quantum Approximate Optimization Algorithm using Machine Learning

2020

We propose a machine learning based approach to accelerate quantum approximate optimization algorithm (QAOA) implementation which is a promising quantum-classical hybrid algorithm to prove the so-called quantum supremacy. In QAOA, a parametric quantum circuit and …

QuBEC: Boosting Equivalence Checking for Quantum Circuits with QEC Embedding

2023 · arXiv (Cornell University)

Quantum computing has proven to be capable of accelerating many algorithms by performing tasks that classical computers cannot. Currently, Noisy Intermediate Scale Quantum (NISQ) machines struggle from scalability and noise issues to render a commercial …