Conveners
Session 6
- Samuel Yen-Chi Chen (Wells Fargo)
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...
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...
