RIFT-Quantum at The Catholic University of America develops hardware-aware quantum algorithms, quantum machine learning, and quantum-safe cryptography, advancing applications in chemistry, biomedical analytics, and secure computing while training the next generation of quantum scientists.

Featured Papers

Quantum Error Management in Practice: A Cross-Stack Benchmark

The paper presents an independent, real-world benchmark comparing commercial quantum error suppression and mitigation platforms.

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A Hybrid Classical-Quantum Approach for Multi-Constrained Location Optimization Problem

The paper focuses on solving the Maximal Covering Location Problem (MCLP), an NP-hard logistical challenge where facilities must be placed to cover as much demand as possible under multiple strict rules and constraints

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Radical-Fragment Many-Body Expansion for Linear Alkane Quantum Chemistry

This paper presents a computational chemistry technique designed to calculate the electronic structure of long chain-like molecules (linear alkanes) on current quantum hardware without running out of capacity.

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Quantum Computing Optimization:
An Introduction

This work presents an introductory-level review of quantum optimization, bringing together the foundations of quantum computing and core concepts in classical optimization.

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