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Accelerating Drug Discovery Through Quantum-Centric Supercomputing & The Path to Useful Quantum Computing with IBM Quantum
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Speaker: Gopal Karemore & Sarah Sheldon (IBM) Dr. Karemore: Quantum Lead for Healthcare and Life Sciences at IBM Research IBM Friday, February 27, 2026 11:30AM - 1:00PM Lunch in 1307 at 11:30am
Talk in 1327 at 12:00pm Location: Yale Institute for Foundations of Data Science, Kline Tower 13th Floor, Room 1327, New Haven, CT 06511 and via Webcast: https://yale.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=add2aef4-db15-4eb8-9d2f-b3d1015343e2 |
Dr. Karemore Abstract: This presentation will explore how quantum-centric supercomputing is poised to transform biomedical research and pharmaceutical innovation. It will describe how the integration of quantum computing with classical and AI resources enables new approaches to biologically complex problems that challenge traditional computational methods. The talk will highlight emerging applications in multi-omics analysis, protein and RNA structure modeling, drug–target interaction simulation, and clinical trial optimization. Recent advances using Sample-Based Quantum Diagonalization (SBQD) to study chemically and clinically relevant systems, including iron–sulfur clusters and molecular interactions, will be discussed as examples of progress toward practical impact. The session will also highlight ongoing collaborations with healthcare and industry partners such as Cleveland Clinic, Moderna, and the STFC Hartree Centre, illustrating how hybrid quantum-classical workflows are beginning to accelerate discovery on the path to real-world quantum advantage.
Dr. Karemore Bio: Gopal Karemore is the Quantum Lead for Healthcare and Life Sciences at IBM Research, based at the T. J. Watson Research Centre in New York. He leads efforts to drive the adoption of quantum computing in life sciences and healthcare, working with IBM teams and external partners to deliver high-impact solutions. He holds a Ph.D. in Computer Science from the University of Copenhagen in 2011 and has contributed to shaping innovation and business development across pharmaceutical R&D. Prior to joining IBM, he held research and leadership roles at Novo Nordisk, Spanish National Centre for Cardiovascular Research, Danish Stem Cell Centre, Novo Foundation Centre for Protein Research, Fraunhofer Institute, and Penn Medicine.
Dr. Sheldon Abstract: Achieving quantum advantage requires building quantum hardware and software capable of running circuits at a scale beyond classical simulation, developing methods for extracting accurate measurements with high confidence, and identifying problems with structure that quantum algorithms can address. The quantum systems available today and in the coming years allow us to explore applications of quantum computing at a scale that was previously inaccessible and to develop rigorous methods for evaluating heuristic quantum algorithms. As the technology matures, we welcome a new period of scientific exploration that will rely on collaboration between quantum scientists and domain experts to realize useful quantum computing. This talk will give an overview of IBM Quantum’s vision for quantum-centric supercomputing and present some recent results on using quantum algorithms for chemistry applications.
Dr. Sheldon Bio: Sarah Sheldon is a principal research scientist and the head of applied quantum science at IBM Quantum. She received her Ph.D. in nuclear science and engineering from MIT in 2013, where she studied quantum control techniques. She then joined IBM and has done research on improving gate calibrations in superconducting qubits, developing techniques for characterizing quantum devices, and extending the capabilities of current quantum systems. Her team focuses on developing novel algorithms and applications for quantum computing that will be accessible in the near term.
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