Linear algebra and quantum algorithm
BongJu Kim

TL;DR
This paper explores the mathematical foundations of quantum algorithms, emphasizing linear algebra and quantum mechanics formulations, and discusses key algorithms like Deutsch's and Shor's within this framework.
Contribution
It provides a mathematical perspective on quantum algorithms based on linear algebra and quantum mechanics formulations, connecting foundational theory with specific algorithms.
Findings
Quantum algorithms are expressed using linear algebra on complex vector spaces.
The paper explains key quantum algorithms such as Deutsch's and Shor's algorithms.
Mathematical formulations of quantum mechanics underpin quantum computing methods.
Abstract
In mathematical aspect, we introduce quantum algorithm and the mathematical structure of quantum computer. Quantum algorithm is expressed by linear algebra on a finite dimensional complex inner product space. The mathematical formulations of quantum mechanics had been established in around 1930, by von Neumann. The formulation uses functional analysis, linear algebra and probability theory. The knowledge of the mathematical formulation of QM is enough quantum mechanical knowledge for approaching to quantum algorithm and it might be efficient way for mathematicians that starting with mathematical formulations of QM. We explain the mathematical formulations of quantum mechanics briefly, quantum bits, quantum gates, quantum discrete Fourier transformation, Deutsch's algorithm and Shor's algorithm.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Computability, Logic, AI Algorithms
