BEGIN:VCALENDAR VERSION:2.0 PRODID:-//wp-events-plugin.com//7.2.3.1//EN TZID:America/New_York X-WR-TIMEZONE:America/New_York BEGIN:VEVENT UID:924@fds.yale.edu DTSTART;TZID=America/New_York:20260227T113000 DTEND;TZID=America/New_York:20260227T130000 DTSTAMP:20260218T160207Z URL:https://fds.yale.edu/events/fds-colloquium-gopal-karemore-ibm/ SUMMARY:FDS Colloquium: Gopal Karemore (IBM) &\; Sarah Sheldon (IBM)\, " Accelerating Drug Discovery Through Quantum-Centric Supercomputing" &\; "The Path to Useful Quantum Computing with IBM Quantum" DESCRIPTION:\nDr. Karemore Abstract: This presentation will explore how qua ntum-centric supercomputing is poised to transform biomedical research and pharmaceutical innovation. It will describe how the integration of quantu m computing with classical and AI resources enables new approaches to biol ogically 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 Quan tum Diagonalization (SBQD) to study chemically and clinically relevant sys tems\, 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 pa rtners such as Cleveland Clinic\, Moderna\, and the STFC Hartree Centre\, illustrating how hybrid quantum-classical workflows are beginning to accel erate discovery on the path to real-world quantum advantage.\n\n\n\nDr. Ka remore Bio: Gopal Karemore is the Quantum Lead for Healthcare and Life Sci ences at IBM Research\, based at the T. J. Watson Research Centre in New Y ork. He leads efforts to drive the adoption of quantum computing in life s ciences and healthcare\, working with IBM teams and external partners to d eliver high-impact solutions. He holds a Ph.D. in Computer Science from th e University of Copenhagen in 2011 and has contributed to shaping innovati on and business development across pharmaceutical R&\;D. Prior to joini ng IBM\, he held research and leadership roles at Novo Nordisk\, Spanish N ational Centre for Cardiovascular Research\, Danish Stem Cell Centre\, Nov o Foundation Centre for Protein Research\, Fraunhofer Institute\, and Penn Medicine.\n\n\n\n\n\n\n\nDr. Sheldon Abstract: Achieving quantum advantag e requires building quantum hardware and software capable of running circu its at a scale beyond classical simulation\, developing methods for extrac ting accurate measurements with high confidence\, and identifying problems with structure that quantum algorithms can address. The quantum systems a vailable today and in the coming years allow us to explore applications of quantum computing at a scale that was previously inaccessible and to deve lop rigorous methods for evaluating heuristic quantum algorithms. As the t echnology 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 IB M Quantum’s vision for quantum-centric supercomputing and present some r ecent results on using quantum algorithms for chemistry applications.\n\n\ n\nDr. Sheldon Bio: Sarah Sheldon is a principal research scientist and th e head of applied quantum science at IBM Quantum. She received her Ph.D. i n nuclear science and engineering from MIT in 2013\, where she studied qua ntum control techniques. She then joined IBM and has done research on impr oving gate calibrations in superconducting qubits\, developing techniques for characterizing quantum devices\, and extending the capabilities of cur rent quantum systems. Her team focuses on developing novel algorithms and applications for quantum computing that will be accessible in the near ter m.\n\n\n\n\n CATEGORIES:Fellows Events,FDS Events,Colloquium LOCATION:Yale Institute for Foundations of Data Science\, Kline Tower 13th Floor\, Room 1327\, New Haven\, CT\, 06511\, United States X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Kline Tower 13th Floor\, Ro om 1327\, New Haven\, CT\, 06511\, United States;X-APPLE-RADIUS=100;X-TITL E=Yale Institute for Foundations of Data Science:geo:0,0 END:VEVENT BEGIN:VTIMEZONE TZID:America/New_York X-LIC-LOCATION:America/New_York BEGIN:STANDARD DTSTART:20251102T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST END:STANDARD END:VTIMEZONE END:VCALENDAR