Full optimization of a single-qubit gate on the generalized sequential
quantum optimizer
- URL: http://arxiv.org/abs/2209.08535v3
- Date: Tue, 18 Oct 2022 02:12:31 GMT
- Title: Full optimization of a single-qubit gate on the generalized sequential
quantum optimizer
- Authors: Kaito Wada, Rudy Raymond, Yuki Sato, Hiroshi C. Watanabe
- Abstract summary: We propose a quantum algorithm based on the analytically-optimal selection of a single-qubit gate in quantum circuits.
Our method uses matrix factorization whose matrix elements consist of slightly-modified circuit evaluations on the objective function.
- Score: 4.341421846091307
- License: http://creativecommons.org/licenses/by-nc-sa/4.0/
- Abstract: We propose a quantum algorithm based on the analytically-optimal selection of
a single-qubit gate in parameterized quantum circuits (PQCs). Our algorithm
optimizes the PQC structure by sequentially replacing a single-qubit gate in
the PQC with the optimal one minimizing the objective function in the
variational quantum algorithm. To directly find local optima, our method uses
matrix factorization whose matrix elements consist of slightly-modified circuit
evaluations on the objective function, which is in contrast to conventional
sequential optimizers that utilize sinusoidal properties. Optimal selection
over single-qubit gates based on this matrix factorization leads to more
efficient optimization of PQCs. Moreover, we show that the framework of matrix
factorization utilized in our method unifies and extends the existing
sequential methods. We perform numerical experiments demonstrating the efficacy
of the framework.
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