Abstract
We introduce QuantumGEP, a scientific computer program that uses gene expression programming (GEP) to find a quantum circuit that either (1) maps a given set of input states to a given set of output states or (2) transforms a fixed initial state to minimize a given physical quantity of the output state. QuantumGEP is a driver program that uses evendim, a generic computational engine for GEP, both of which are free and open source. We apply QuantumGEP as a powerful solver for MaxCut in graphs and for condensed matter quantum many-body Hamiltonians.
Original language | English |
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Article number | 27 |
Journal | ACM Transactions on Quantum Computing |
Volume | 4 |
Issue number | 4 |
DOIs | |
State | Published - Oct 18 2023 |
Funding
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. 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.
Funders | Funder number |
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U.S. Department of Energy | |
Advanced Scientific Computing Research | ERKJ354 |
Oak Ridge National Laboratory | |
UT-Battelle | DE-AC05-00OR22725 |
Keywords
- Additional Key Words and PhrasesGenetic algorithms
- condensed matter
- gene expression programming
- quantum chemistry
- quantum computing