Workshop on the intersections of Quantum Information Science and Nuclear Physics

Session

Session 6

Jan 15, 2026, 2:30 PM

Auditorium 2300 (University Hall)

Conveners

Session 6

• Samuel Yen-Chi Chen (Wells Fargo)

33. Neutral-atom quantum computing with nuclear spin qubits

Matthew Norcia (Atom Computing, Inc)

1/15/26, 2:30 PM

35. Machine Learning for Quantum Computing and Quantum Machine Learning

Fan Chen (Indiana University Bloomington)

1/15/26, 3:15 PM

30. Quantum simulation on curved spacetime

Kazuki Ikeda (UMass Boston)

1/15/26, 3:45 PM

10. Addressing the Current Challenges of Quantum Machine Learning through Multi-Chip Ensembles

Junghoon Justin Park (Seoul National University)

1/15/26, 4:45 PM

Practical Quantum Machine Learning (QML) is challenged by noise, limited scalability, and poor trainability in Variational Quantum Circuits (VQCs) on current hardware. We propose a multi-chip ensemble VQC framework that systematically overcomes these hurdles. By partitioning high-dimensional computations across ensembles of smaller, independently operating quantum chips and leveraging...

7. Single atom tweezer array platform for open quantum system physics

Dr Hoang Van Do (University of Massachusetts Boston)

1/15/26, 5:15 PM

Understanding decoherence and dissipation remains a central challenge for quantum information science, particularly in many-body systems where system–environment coupling gives rise to rich and not yet fully understood dynamics. Neutral-atom tweezer arrays offer a promising route toward controlled many-body quantum simulators in which local information spreading through an interacting system...