Quantum Information Science

quantum image

Quantum Information Science is an interdisciplinary field at the boundary of physics, engineering, and computer science. One of the main goals of this field is finding  methods for exploiting the quantum mechanical effects in nature, such as superposition and entanglement, to perform information processing tasks.

On the one hand, this field looks at the fundamental limits of nature on computation and communication, and on the other hand, it studies more practical questions, such as how to overcome decoherence and build a fault-tolerant quantum computer, or how to efficiently simulate the ground state and the dynamics of a many-body system. 

At Duke University, we work on a wide range of topics in this field, including:

Ion-trap quantum computing, Quantum error correction and fault tolerance, Quantum Shannon theory and communication, Quantum resource theories, Quantum thermodynamics, Quantum algorithms, Quantum metrology, Quantum simulations and many-body dynamics, Quantum dots, Superconducting quantum computing.

Learn more at Quantum information and Computation at Duke University.