Swaroop Ghosh

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 …

Robust and Secure Hybrid Quantum-Classical Computation on Untrusted Cloud-Based Quantum Hardware

2022 · arXiv (Cornell University)

Quantum computers are currently accessible through a cloud-based platform that allows users to run their programs on a suite of quantum hardware. As the quantum computing ecosystem grows in popularity and utility, it is reasonable …

Scalable Variational Quantum Circuits for Autoencoder-based Drug Discovery

2021 · arXiv (Cornell University)

The de novo design of drug molecules is recognized as a time-consuming and costly process, and computational approaches have been applied in each stage of the drug discovery pipeline. Variational autoencoder is one of the …

Shot Optimization in Quantum Machine Learning Architectures to Accelerate Training

2023 · arXiv (Cornell University)

In this paper, we propose shot optimization method for QML models at the expense of minimal impact on model performance. We use classification task as a test case for MNIST and FMNIST datasets using a …