6 papers
Quantum Approximate Optimization Algorithm for Spatiotemporal Forecasting of HIV Clusters
Don Roosan, Saif Nirzhor, Rubayat Khan +2
HIV epidemiological data is increasingly complex, requiring advanced computation for accurate cluster detection and forecasting. We employed quantum-accelerated machine learning to…
Classifying Hotspots Mutations for Biosimulation with Quantum Neural Networks and Variational Quantum Eigensolver
Don Roosan, Rubayat Khan, Saif Nirzhor +2
The rapid expansion of biomolecular datasets presents significant challenges for computational biology. Quantum computing emerges as a promising solution to address these complexit…
Bridging Classical Molecular Dynamics and Quantum Foundations for Comprehensive Protein Structural Analysis
Don Roosan, Rubayat Khan, Tiffany Khou +3
The objective of this paper is to investigate the structural stability, dynamic properties, and potential interactions among Amyloid Precursor Protein (APP), Tau, and Alpha-synucle…
Quantum Gradient Optimized Drug Repurposing Prototype for Omics Data
Don Roosan, Saif Nirzhor, Rubayat Khan +1
This paper presents a novel quantum-enhanced prototype for drug repurposing and addresses the challenge of managing massive genomics data in precision medicine.
Harnessing Diet and Gene Expression Insights through a Centralized Nutrigenomics Database to Improve Public Health
Fahmida Hai, Shriya Samudrala, Ijeoma Ezengwa +3
Nutrigenomics is an emerging field that explores the intricate interaction between genes and diet. This study aimed to develop a comprehensive database to help clinicians and patie…
Enhancing Biosecurity in Tamper-Resistant Large Language Models With Quantum Gradient Descent
Fahmida Hai, Saif Nirzhor, Rubayat Khan +1
This paper introduces a tamper-resistant framework for large language models (LLMs) in medical applications, utilizing quantum gradient descent (QGD) to detect malicious parameter…