Postdoctoral Research Fellowships in Near-Term Quantum Advantage in Tensor Network-Inspired Machine Learning at the Laboratory for Physical Sciences
The Quantum Information and Device Theory group of Charles Tahan at the Laboratory for Physical Sciences (LPS) and the Quantum Information and Many-Body Physics group of Brian Swingle at the University of Maryland (UMD) are collaborating to explore the possible quantum advantage offered by near-term quantum systems from quantum computers with dozens or hundreds of qubits to analog quantum systems of similar size to tensor-network inspired machine learning.


