GASP: a genetic algorithm for state preparation on quantum computers
Created by W.Langdon from
gpbibliography.bib Revision:1.7630
 @Article{Creevey:2023:SciRep,

author = "Floyd M. Creevey and Charles D. Hill and
Lloyd C. L. Hollenberg",

title = "{GASP}: a genetic algorithm for state preparation on
quantum computers",

journal = "Scientific Reports",

year = "2023",

volume = "13",

pages = "11956",

month = "24 " # jul,

keywords = "genetic algorithms, genetic programming, CNOT, Quantum
information, Qubits",

ISSN = "20452322",

URL = "https://rdcu.be/dlYH8",

DOI = "doi:10.1038/s4159802337767w",

size = "8 pages",

abstract = "The efficient preparation of quantum states is an
important step in the execution of many quantum
algorithms. In the noisy intermediatescale quantum
(NISQ) computing era, this is a significant challenge
given quantum resources are scarce and typically only
lowdepth quantum circuits can be implemented on
physical devices. We present a genetic algorithm for
state preparation (GASP) which generates relatively
lowdepth quantum circuits for initialising a quantum
computer in a specified quantum state. The method uses
a basis set of Rx, Ry, Rz, and CNOT gates and a genetic
algorithm to systematically generate circuits to
synthesize the target state to the required fidelity.
GASP can produce more efficient circuits of a given
accuracy with lower depth and gate counts than other
methods. This variability of the required accuracy
facilitates overall higher accuracy on implementation,
as error accumulation in highdepth circuits can be
avoided. We directly compare the method to the state
initialisation technique based on an exact synthesis
technique by implemented in IBM Qiskit simulated with
noise and implemented on physical IBM Quantum devices.
Results achieved by GASP outperform Qiskitâ€™s exact
general circuit synthesis method on a variety of states
such as Gaussian states and Wstates, and consistently
show the method reduces the number of gates required
for the quantum circuits to generate these quantum
states to the required accuracy.",

notes = "'GASP significantly outperforms the exact approach
through superior circuit compression, by more than an
order of magnitude'
School of Physics, University of Melbourne, Melbourne
3010, Australia.",
 }
Genetic Programming entries for
Floyd M Creevey
Charles D Hill
Lloyd C L Hollenberg
Citations