Quantum computing is rapidly advancing as a powerful tool for high-performance digital computing applications. Rensselaer is poised to lead in this field, leveraging its partnership with IBM to enhance faculty, graduate programs, and research initiatives. The focus will be on accelerating knowledge transfer between IBM and Rensselaer, advancing quantum computing as a research tool, and supporting workforce development and education. IBM will provide guidance on the latest quantum information science (QIS) advancements, helping to shape research methodologies and best practices for using IBM’s quantum hardware and software. This collaboration will empower faculty and students to drive forward quantum computational science.
Accelerating Quantum Computing Research
Projects
2026
| Project | RPI Principal Investigators | IBM Principal Investigators |
|---|---|---|
| Quantum–Classical Optimization and Edge–Quantum Collaboration for Next-Generation Transportation Systems | Ruimin Ke, Sean X. He, Cara X. Wang, Jose Holguin-Veras | |
| Hybrid Quantum-Classical Workflows for Modeling Multi-Body Interactions in Disordered Materials | Prashun Gorai, Patrick Underhill, | |
| Qantum Approximate Optimization for Secure and Resilient Supply Chains | Kanad Basu | |
| Topology-Aware Circuits and Structure-Aware Optimizers for Phase Transitions | Jian Shi, Yangyang Xu | |
| QRMI-DA: Robust Direct Access Middleware and Hybrid Workflows for Quantum-Centric Supercomputing | Christopher D. Carothers, Cameron Cogburn, Osama Raisuddin, Andrew Damin, Michael Sofka | Antonio Corcoles, Sean Dague |
| Quantum-Enhanced Bayesian Inference for Inverse Problems and Digital Twins in Complex Dynamical Systems | Fotis Kopsaftopoulos | |
| Harnessing Quantum Hysteresis in Spin Materials | Xiangyi Meng, Cameron Cogburn |
2025
| Project | RPI Principal Investigators | IBM Principal Investigators |
|---|---|---|
| Quantum Computing for Predicting Lithium-Ion Mobility | Fabian M. Faulstich, Nikhil Koratkar, Ravishankar Sundararaman | Jeannette (Jamie) Garcia |
| Utility-scale Spin-Boson QCSC Simulation | Joel Giedt, Cameron Cogburn, | Jeannette (Jamie) Garcia |
| A Hybrid Quantum-Classic Approach to Solve Semidefinite Programming Problems | Diego Moran Ramirez, Santiago Paternain, Sebastian Souyris | Jeannette (Jamie) Garcia |
| Reliable Quantum Simulation of Fluid Dynamics on Quantum Hardware | Lucy Zhang | Jeannette (Jamie) Garcia |
| Materials Quantum Intelligence: Creating an HPC-Assisted Quantum Machine Learning Framework for Materials Design | Trevor David Rhone | Jeannette (Jamie) Garcia |
| Quantum optimization algorithm for combinatorial composite material design | Yunfeng Shi, Jian Shi, Liping Huang | Jeannette (Jamie) Garcia |
| Stochastic hydrodynamics for designing non-equilibrium many-body systems | Patrick Underhill | Jeannette (Jamie) Garcia |
2024
| Project | RPI Principal Investigators | IBM Principal Investigators |
|---|---|---|
| Integration and Scheduling of High Performance Computing (HPC) and Quantum Computing Workflows | Christopher Carothers | Antonio Córcoles |
| Educating the Quantum Future: Filling the Pipeline from Middle School to the Workforce | Brian Callahan, Malik Magdon-Ismail, Ali Tajer, Sophia Acquisto | Jeannette (Jamie) Garcia |
| Quantum Computing Exploration to Advance Supply Chain | Ruimin Ke, Jose Holguin-Veras, Xiaokun (Cara) Wang, Xiaozheng (Sean) He | Jeannette (Jamie) Garcia |
| HPC-assisted Hybrid Classical Quantum System for Drug Discovery and Development | Zhiding Liang, Xiao-Yang Liu, Tianfan Fu | Jeannette (Jamie) Garcia |
| Benchmarking Quantum Computational Methods for Thermo- Chemical Processes | Osama Raisuddin, Fabian Faulstich | Jeannette (Jamie) Garcia |
| Enhancing Gate Fidelity and Speed Through AI-Driven Optimization for Hubbard Model Computation | Jian Shi, Yangyang Xu | Jeannette (Jamie) Garcia |
