Embedded Files
Sessions:
Sessions:
10:00 - 11:30 Morning Session
13:00 - 14:30 Afternoon Session 1
15:00 - 16:30 Afternoon Session 2
Morning session
Morning session
Chair: Christoph Gorgulla
10:00 – 10:10
Opening
Opening
10:10 – 10:40
Keynote
Keynote
Accelerating Scientific Impact: IBM’s Healthcare & Life Sciences Breakthroughs
Accelerating Scientific Impact: IBM’s Healthcare & Life Sciences Breakthroughs
Gavin Jones (IBM)
10:40 – 11:05
QOBRA: A Quantum Operator-Based Autoencoder for De Novo Molecular Design
QOBRA: A Quantum Operator-Based Autoencoder for De Novo Molecular Design
Victor Batista (Yale)
11:05 – 11:30
From T-Cells to Qubits: Quantum Machine Learning for Mapping Peptide Binding and Immunogenicity in Neoantigen Discovery
From T-Cells to Qubits: Quantum Machine Learning for Mapping Peptide Binding and Immunogenicity in Neoantigen Discovery
Amandeep Bhatia (Purdue University)
Lunch Break 11:30 – 13:00
Afternoon session 1
Afternoon session 1
Chair: Alexey Galda
13:00 – 13:30
Prediction of Protein Three-dimensional Structures via a Hardware-Executable Quantum Computing Framework
Prediction of Protein Three-dimensional Structures via a Hardware-Executable Quantum Computing Framework
Qiang Guan (Kent State University)
Qiang Guan (Kent State University)
13:30 – 14:00
Molecular Modeling on a Trapped Ion Quantum Computer
Molecular Modeling on a Trapped Ion Quantum Computer
Evgeny Epifanovsky (IonQ)
14:00 – 14:30
Quantum Computing in Life Sciences: an overview of QuEra's portfolio for hardware-efficient applications
Quantum Computing in Life Sciences: an overview of QuEra's portfolio for hardware-efficient applications
Pedro Lopez (QuEra)
Break 14:30 – 15:00
Afternoon session 2
Afternoon session 2
Chair: Gavin Jones
15:00 – 15:30
Algorithms for dynamical systems in quantum biology
Algorithms for dynamical systems in quantum biology
Anthony Schlimgen (University of Minnesota)
15:30 – 16:00
Accelerated multimodal feature selection for accurate cancer prognoses using novel hybrid quantum-classical algorithms
Accelerated multimodal feature selection for accurate cancer prognoses using novel hybrid quantum-classical algorithms
Ryan Robinett (UChicago)
16:00 – 16:25
Quantum-AI Enabled Framework for Multi-Omics Biomarker Diagnostics in Lung Cancer Subtypes: MQML
Quantum-AI Enabled Framework for Multi-Omics Biomarker Diagnostics in Lung Cancer Subtypes: MQML
Mandeep Kaur Saggi (NCSU)
16:25 – 16:30
Concluding remarks
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