QuantumGEP: Gene Expression Programming for Quantum Computing

ORAL

Abstract

We are designing and implementing QuantumGEP [1]: a scalable artificial intelligence software generator to construct quantum circuits that output the ground state of a Hamiltonian when applied to an initial state. QuantumGEP relies on gene expression programming (GEP) [2] and this talk focuses on advanced features, including automatically defined functions, multiple genes, and the chromosome. [1] The software is at https://github.com/g1257/evendim; [2] Ferreira, C., Gene Expression Programming, Mathematical Modeling by an Artificial Intelligence, 2nd Ed. Springer-Verlag, Berlin, Heidelberg, 2006.

*This work was performed at Oak Ridge National Laboratory, operated by UT-Battelle, LLC under contract DE-AC05-00OR22725 for the US Department of Energy (DOE). Support for the work came from the DOE Advanced Scientific Computing Research (ASCR) Accelerated Research in Quantum Computing (ARQC) Program under field work proposal ERKJ354.

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Presenters

  • Gonzalo Alvarez

    • Oak Ridge National Lab

Authors

  • Gonzalo Alvarez

    • Oak Ridge National Lab

  • Ryan Bennink

    • Oak Ridge National Lab

  • Stephan Irle

    • Oak Ridge National Lab

  • Jacek Jakowski

    • Oak Ridge National Lab