Quantum Information and Computation for Quantum Chemistry
Sunday, March 17
8:30 a.m. - 12:30 p.m.
Who Should Attend
Graduate students, post-docs, university faculty and industrial researchers interested in a broad introduction to the current state of the field of quantum information for quantum chemistry. We particularly encourage participation of graduate students and post-docs and each talk will begin from a level appropriate for junior researchers.
The development and use of quantum computers for chemical applications have potentially revolutionary impact on the way computing is done in the future. Grand challenge opportunities are abundant. Examples include developing and implementing quantum algorithms for solving chemical problems thought to be intractable for classical computers. To perform such quantum calculations it will be necessary to overcome many grand challenges of experimental quantum simulation.
New methods to suppress errors due to faulty controls and noisy environments will be required. These new techniques would become part of a quantum compiler that translates complex chemical problems into quantum algorithms. Other grand challenges include the role of quantum entanglement, coherence and superposition in photosynthesis and complex chemical reactions.
The goal of this tutorial is to provide an introduction to the basic concepts in quantum information and computation for quantum chemistry, and an overview of the recent closely related theoretical and experimental developments in the field.
- Quantum Simulation from Vintage Quantum Chemistry
- Quantum Algorithms for Simulating Many-Body Physics and Quantum Chemistry
- Coherence and Entanglement in Complex Systems
- Methods for Overcoming Decoherence
Professor Sabre Kais
|Professor Barry Sanders||University of Calgary, Canada|
|Professor Peter Love||Haverford, USA|
|Professor Ken Brown||Georgia Tech, USA|
|Dr. Mohan Sarovar||Sandia National Laboratories, USA|