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Genetic Expression Programming for Quantum Chemistry on Quantum Computers

ORAL

Abstract

The tremendous human effort required to program computers hampers the advancement of science and the development of new technologies. This talk will therefore show how artificial intelligence can accelerate program development efforts: We are designing and implementing a scalable artificial intelligence software generator to construct and run accurate computer programs implementing a function of one or many variables, a function that is only known through a series of inputs and outputs. In order to showcase an application that is both valuable and timely, we apply this computer program generator to create optimal quantum circuits for quantum chemistry problems run on quantum computers. Our computer program relies on genetic expression programming [1], and a preliminary proof of concept implementation can be found at https:// github.com/g1257/evendim. [1] Ferreira, C., Gene Expression Programming, Mathematical Modeling by an Artificial Intelligence, 2nd Ed. Springer-Verlag, Berlin, Heidelberg, 2006.

Presenters

  • Gonzalo Alvarez

    Oak Ridge National Lab

Authors

  • Gonzalo Alvarez

    Oak Ridge National Lab

  • Jacek Jakowski

    Oak Ridge National Lab

  • Stephan Irle

    Oak Ridge National Laboratory, Oak Ridge National Lab