Quantum Computing on Classical Machines with Tensor Networks

Explore a fascinating physics colloquium lecture that delves into how tensor networks can mimic quantum computing capabilities on classical machines. Learn about the evolution of classical algorithms that parallel quantum computing functionalities, with a particular focus on tensor networks and their remarkable ability to simulate quantum systems. Understand how these networks, initially designed for simulating small quantum systems and shallow circuits, have proven so effective that they can successfully implement certain quantum algorithms on classical computers, often surpassing traditional classical algorithms. Discover the fundamental concepts of tensor networks from a quantum computing perspective, examine recent developments in simulating various quantum algorithms including random circuits and quantum simulations, and gain insights into the increasingly blurred boundary between classical and quantum computing. Through this presentation by Miles Stoudenmire from the Flatiron Institute, gain a deeper understanding of how classical computing continues to push boundaries in the quantum computing landscape.