QUANTUM ML SYSTEM

We focus on the intersection of quantum computer systems and machine learning. We build better ML systems to optimize quantum computing problems and also use quantum computers to run ML tasks. We open-source the TorchQuantum library to facilitate research in this area... Quantum computing is at a historic time in its development and there is a profound desire for research in quantum computer systems. With quantum systems of tens or hundreds of qubits available, plenty of system-level problems emerge such as compilation, qubit mapping, instruction scheduling, etc. Meanwhile, the large quantum noise on real devices severely jeopardizes reliability. Our goal is to leverage algorithm-system co-design methodology, especially with the help of Machine Learning to improve noise-robust, efficiency, and accuracy of quantum circuits on real quantum devices. Meanwhile, we also expedite leveraging quantum computers to solve ML tasks in order to achieve quantum advantage on machine learning, i.e.,..

Also known as: QML