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Trapped Ion Quantum Computing Quantum Machine Learning

Swap Test with Quantum-Dot Charge Qubits

arXiv
Authors: Y. -D. Li, N. Barraza, G. Alvarado Barrios, E. Solano, F. Albarrán-Arriagada

Year

2021

Paper ID

40092

Status

Preprint

Abstract Read

~2 min

Abstract Words

111

Citations

N/A

Abstract

We propose the implementation of the Swap Test using a charge qubit in a double quantum dot. The Swap Test is a fundamental quantum subroutine in quantum machine learning and other applications for estimating the fidelity of two unknown quantum states by measuring an auxiliary qubit. Our proposal uses a controlled three-qubit gate which is natural to quantum-dot charge qubits. It allows us to implement a Swap Test with a circuit depth of six layers, and an estimated gate time of less than 3 ns, that is below the coherence time of double quantum dots. This work paves the way for enhancing the toolbox of quantum machine learning developments in semiconductor qubits.

Why This Paper Matters

  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
  • It adds a 2021 reference point for readers tracking recent quantum research.
  • We propose the implementation of the Swap Test using a charge qubit in a double quantum dot.

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References & Citation Signals

[1] DOI https://doi.org/arXiv:2112.15517 [2] arXiv https://arxiv.org/abs/2112.15517 [3] Publisher https://arxiv.org/abs/2112.15517

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