Quantum Simulation

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To understand large quantum systems, like complex molecules, we need to understand and model the quantum interactions between their components. To run computer simulations for these problems, we effectively need to teach our computer quantum mechanics, which is very difficult for computers to do.

If, instead, we simulate our quantum system using another quantum system as a simulator, one that is easier to control and study, we could learn about it more efficiently. This is because the quantum simulator doesn’t need to “learn” quantum mechanics: it already works by the same rules!

This content is taken from the Institute for Quantum Computing, University of Waterloo.

Steering committee

Sophia Economou

Professor, Department of Physics, Virginia Tech

Expertise: Quantum Algorithms, Quantum Information, Quantum Control

Edwin Barnes

Professor, Department of Physics, Virginia Tech

Expertise: Quantum Information Theory, Quantum Algorithms, Control, and Simulation

Christian Arenz

Assistant Professor, School of Electrical, Computer and Energy Engineering, Arizona State University

Expertise: Quantum control, Quantum simulation, Quantum algorithms, Open quantum systems, Quantum information

Gil Speyer

Director, Research Technology Office, Computational Research Accelerator, Arizona State University

Expertise: Quantum Computing simulation environments, HPC, numerical methods

Torey Battelle

Associate Director, Research Technology Office, Arizona State University

Expertise: Quantum Information Theory, Condensed Matter Physics, High-Performance Computing

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