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Physics Maths Engineering

An explicit formula of powers of the 2 × 2 quantum matrices and its applications

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Genki Shibukawa

Genki Shibukawa

University

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© attribution CC-BY

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2283 Views

Added on

2022-03-28

Doi: https://doi.org/10.48550/arXiv.2112.15464

Related Subjects
Physics
Math
Chemistry
Computer science
Engineering
Earth science
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Abstract

The paper "An explicit formula of powers of the 2×2 quantum matrices and its applications" by Genki Shibukawa presents a formula for computing powers of 2×2 quantum matrices, extending classical results to the quantum domain. The author defines a 2×2 quantum matrix whose entries satisfy specific non-commutative relations involving a central parameter q. The main result provides an explicit expression for the nth power of such a matrix in terms of its entries, the quantum determinant, and a polynomial function related to the Chebyshev polynomials of the second kind. Applications of this formula include deriving non-commutative relations among the entries of the powered matrices, offering a simplified proof of results previously established by Vokos, Zumino, and Wess in 1990.

We present an explicit formula of the powers for the 2×2 quantum matrices, that is a natural quantum analogue of the powers of the usual 2 × 2 matrices. As applications, we give some non-commutative relations of the entries of the powers for the 2 × 2 quantum matrices, which is a simple proof of the results of Vokos-Zumino-Wess (1990).

Key Questions

What is the main focus of this study?

The study focuses on deriving an explicit formula for the powers of 2 × 2 quantum matrices and exploring its applications in quantum mechanics and related mathematical fields.

What are quantum matrices, and why are they important?

Quantum matrices are matrices that operate within the framework of quantum mechanics, particularly used in quantum computations and the representation of quantum systems. They are crucial for understanding quantum states, operations, and symmetries.

What does the explicit formula for the powers of 2 × 2 quantum matrices entail?

The explicit formula provides a systematic way to calculate the powers of 2 × 2 quantum matrices, which can be useful in analyzing time evolution in quantum systems, as well as for quantum control and computations.

What are the applications of the formula derived in the study?

The formula has applications in quantum mechanics, particularly for solving problems related to quantum state evolution, spin systems, and quantum information processing.

How does this research contribute to the field of quantum mechanics?

This research contributes by simplifying the calculation of matrix powers in quantum systems, offering more efficient methods for researchers working with quantum matrices in simulations, computations, and theoretical analyses.

What are the potential implications of this study for quantum computation?

By providing a clear formula for matrix powers, this work has the potential to streamline quantum computations, especially in areas like quantum algorithm development and error correction, where matrix manipulations are essential.

What are the future directions for research in this area?

Future research may extend this approach to higher-dimensional quantum matrices, explore other types of quantum operations, and investigate its integration into larger quantum algorithms for practical applications in quantum computing and cryptography.

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ARTICLE USAGE


Article usage: Mar-2022 to May-2025
Show by month Manuscript Video Summary
2025 May 171 171
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2024 December 69 69
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2024 October 104 104
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2022 April 34 34
2022 March 1 1
Total 2283 2283
Show by month Manuscript Video Summary
2025 May 171 171
2025 April 106 106
2025 March 101 101
2025 February 68 68
2025 January 77 77
2024 December 69 69
2024 November 84 84
2024 October 104 104
2024 September 103 103
2024 August 65 65
2024 July 67 67
2024 June 45 45
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2022 November 104 104
2022 October 48 48
2022 September 37 37
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2022 June 88 88
2022 May 47 47
2022 April 34 34
2022 March 1 1
Total 2283 2283
Related Subjects
Physics
Math
Chemistry
Computer science
Engineering
Earth science
Biology
copyright icon

© attribution CC-BY

  • 4

rating
2283 Views

Added on

2022-03-28

Doi: https://doi.org/10.48550/arXiv.2112.15464

Related Subjects
Physics
Math
Chemistry
Computer science
Engineering
Earth science
Biology

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