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CS4670/PH4670, Quantum Computing [syllabus]

Jim Luscombe, Ted Huffmire

Published Jan 1, 2010• 0 citations
OpenAlex

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The syllabus outlines the structure, goals, and learning outcomes of the course Quantum Computing Basis, taught at the Computer Engineering Department of Petro Mohyla Black Sea National University. The discipline introduces students to the foundational principles of quantum mechanics relevant to computation, the concept of qubits and multi‑qubit systems, quantum logic elements, basic algorithms, and the fundamentals of quantum programming using Python and IBM Qiskit. The course consists of five modules covering introductory concepts, quantum computing fundamentals, physical implementations, quantum circuits and error correction, and applied aspects of quantum technologies. It includes lectures and laboratory practicums supported by Maple and several online quantum simulators. The syllabus defines prerequisites, evaluation criteria, and the expected competencies students should acquire in theoretical understanding and practical quantum programming.
Abstract The second quantum revolution is taking place nowadays with quantum computing and quantum communications. This implies the necessity of providing to electrical engineering students, not necessarily physicists, a clear presentation of the quantum theory in the least amount of time. Since the publication of Dirac's book, in 1930, there has been different approaches to introduce quantum mechanics. Nevertheless, they are all based on the assumption of the physics students syllabus, and not on the conventional knowledge of electrical engineering students. For this reason, in the present work it is proposed a presentation, addressed to electrical engineering students, to approach the quantum formalism, by means of matrix algebra and Fourier series, which are familiar topics for electrical engineering students.