A generalized floating-point quantum representation of 2-D data and their applications
Creators
- 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 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.
Additional details
Identifiers
Publishing Information
- Journal Title
- Quantum Information Processing (Print)
- Journal Volume
- 19
- Journal Issue
- 11
- Journal Page Range
- vp.
- ISSN
- 1570-0755
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 55092049
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; S97: MATHEMATICAL METHODS AND COMPUTING;
- Descriptors DEI
- CALCULATION METHODS; CONTROL THEORY; INFORMATION THEORY; INTEGRATED CIRCUITS; PERFORMANCE; PURE STATES; QUANTUM COMPUTERS; QUANTUM CRYPTOGRAPHY; QUANTUM MECHANICS; QUANTUM NUMBERS; QUANTUM OPERATORS; QUANTUM OPTICS; QUANTUM STATES; QUBITS; TRANSFORMATIONS
- Descriptors DEC
- COMPUTERS; CRYPTOGRAPHY; ELECTRONIC CIRCUITS; INFORMATION; MATHEMATICAL OPERATORS; MECHANICS; MICROELECTRONIC CIRCUITS; OPTICS; QUANTUM INFORMATION; QUANTUM STATES
Optional Information
- Copyright
- Copyright (c) 2020 © Springer Science+Business Media, LLC, part of Springer Nature 2020