Training_microwave_pulses_using_quantum_machine_learning.pdf (6.18 MB)
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Training microwave pulses using quantum machine learning

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posted on 2023-08-28, 19:16 authored by jaden nola, Uriah Sanchez, Elizabeth BehrmanElizabeth Behrman, James SteckJames Steck

A gate sequence of single qubit transformations may be condensed into a single microwave pulse that maps a qubit from an initialized state directly into the desired state of the composite transformation. Here, machine learning is used to learn the parameterized values for a single driving pulse associated with a  transformation of three sequential gate operations on a qubit. This implies that future quantum circuits may contain roughly a third of the number of single qubit operations performed, greatly reducing the problems of noise and decoherence. There is a potential for even greater condensation and efficiency using the methods of quantum machine learning.


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wichita state university

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  • United States of America

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