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Trapped Ion Quantum Computing Quantum Machine Learning

Preparation of quantum superposition using partial negation

arXiv
Authors: Sara Anwer, Ahmed Younes, Islam Elkabani, Ashraf Elsayed

Year

2021

Paper ID

61139

Status

Preprint

Abstract Read

~2 min

Abstract Words

128

Citations

N/A

Abstract

The preparation of a quantum superposition is the key to the success of many quantum algorithms and quantum machine learning techniques. The preparation of an incomplete or a non-uniform quantum superposition with certain properties is a non-trivial task. In this paper, an n-qubits variational quantum circuit using partial negation and controlled partial negation operators will be proposed to prepare an arbitrary quantum superposition. The proposed quantum circuit follows the symmetries of the unitary Lie group. The speed of the preparation process and the accuracy of the prepared superposition has a special importance to the success of any quantum algorithm. The proposed method can be used to prepare the required quantum superposition in mathcal{O}(n) steps and with high accuracy when compared with relevant methods in literature.

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.
  • The preparation of a quantum superposition is the key to the success of many quantum algorithms and quantum machine learning techniques.

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