Develop low-qubit quantum generative models for synthetic and rare-event data, including banking applications. Design, test, and benchmark QCBMs, qGANs, quantum Boltzmann methods, variational circuits, and sampling techniques against classical alternatives. Optimize implementations for current quantum hardware, validate them on simulators and QPUs, analyze experimental results, and package successful algorithms for OQC’s hybrid computing platform.

Develop and evaluate quantum algorithms for detection, prediction, and estimation workloads. Design measurement strategies, controlled experiments, and ablation studies to assess circuit costs, sample complexity, noise sensitivity, hardware portability, and quantum contribution. Benchmark theoretical expectations against real quantum hardware and help translate promising methods into repeatable capabilities for hybrid computing products. Collaborate across quantum research, software, product, and engineering teams.