activity
20222026
most citedQuantum Machine Learning for Material Synthesis and Hardware Security

7 citations · 8 across the 7 of their papers we have counts for

collaborators

7 papers

cs.SE2026

Quality Model for Machine Learning Components

Grace A. Lewis, Rachel Brower-Sinning, Robert Edman +5

Despite increased adoption and advances in machine learning (ML), there are studies showing that many ML prototypes do not reach the production stage and that testing is still larg…

cs.LG2025

Q-Fusion: Diffusing Quantum Circuits

Collin Beaudoin, Swaroop Ghosh

Quantum computing holds great potential for solving socially relevant and computationally complex problems. Furthermore, quantum machine learning (QML) promises to rapidly improve…

cs.LG2025

Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM

Collin Beaudoin, Swaroop Ghosh

Identifying molecular properties, including side effects, is a critical yet time-consuming step in drug development. Failing to detect these side effects before regulatory submissi…

quant-ph2024

AltGraph: Redesigning Quantum Circuits Using Generative Graph Models for Efficient Optimization

Collin Beaudoin, Koustubh Phalak, Swaroop Ghosh

Quantum circuit transformation aims to produce equivalent circuits while optimizing for various aspects such as circuit depth, gate count, and compatibility with modern Noisy Inter…

q-bio.QM2023

Predicting Side Effect of Drug Molecules using Recurrent Neural Networks

Collin Beaudoin, Koustubh Phalak, Swaroop Ghosh

Identification and verification of molecular properties such as side effects is one of the most important and time-consuming steps in the process of molecule synthesis. For example…

cs.LG2022★ 1 cited

Energy-based Generative Models for Target-specific Drug Discovery

Junde Li, Collin Beaudoin, Swaroop Ghosh

Drug targets are the main focus of drug discovery due to their key role in disease pathogenesis. Computational approaches are widely applied to drug development because of the incr…

quant-ph2022★ 7 cited

Quantum Machine Learning for Material Synthesis and Hardware Security

Collin Beaudoin, Satwik Kundu, Rasit Onur Topaloglu +1

Using quantum computing, this paper addresses two scientifically pressing and day-to-day relevant problems, namely, chemical retrosynthesis which is an important step in drug/mater…