Machine Learning and Optimization

We are researching new optimization/machine learning methods for quantum control and readout. Coming up with heuristic rule-based methods for quantum computing become increasingly challenging as noisy intermediate-scale quantum (NISQ) systems expand in quantum volume and progress toward quantum supremacy. Our current work ranging from developing optimization methods to deep learning-based tools for quantum computing.