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Published November 3, 2020 | Version v1
Journal article

A generalized floating-point quantum representation of 2-D data and their applications

  • 1. Henan University. School of Mathematics and Statistics (China)
  • 2. Henan University of Science and Technology. School of Mathematics and Statistics (China)

Description

In the past few decades, quantum computation has become increasingly attractive due to its remarkable performance. However, few results of 2-D data and their transformation based on quantum computation have emerged in recent years. A generalized floating-point representation of 2-D data (QR2-DD) is proposed, which can represent a quantum data with arbitrary size by the element of p+q qubits. And then, we provide a method to convert a 3-D data into 2-D data, which leads to a reduction in the number of qubits for position. Based on QR2-DD, the quantum circuits of elementary transformation of 2-D data are designed, such as interchanging two-row module, multiplying a row by a constant module and adding two-row module. In order to verify the effectiveness of these circuits, an example is given below each module.

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Identifiers

Publishing Information

Journal Title
Quantum Information Processing (Print)
Journal Volume
19
Journal Issue
11
Journal Page Range
vp.
ISSN
1570-0755

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Copyright
Copyright (c) 2020 © Springer Science+Business Media, LLC, part of Springer Nature 2020