Learning programs for the quantum computer
Keyword(s):
Manual quantum programming is generally diffcult for humans, due to the often hard-to-grasp properties of quantum mechanics and quantum computers. By outlining the target (or desired) behaviour of a particular quantum program, the task of programming can be turned into a search and optimization problem. A flexible evolutionary technique known as genetic programming may then be used as an aid in the search for quantum programs. In this work a genetic programming approach uses an estimation of distribution algorithm (EDA) to learn the probability distribution of optimal solution(s), given some target behaviour of a quantum program.
2021 ◽
Keyword(s):
2021 ◽
Keyword(s):
2014 ◽
Vol 5
(3)
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pp. 57-83
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2006 ◽
Vol 7
(1)
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pp. 125-126
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2020 ◽
Vol 18
(2)
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pp. 43-53