What question did this study set out to answer?

To establish the structure and learning outcomes for the Quantum Computing course.

March 15, 2026Open Access

SYLLABUS₂025QuantumComputing

Key Points

To establish the structure and learning outcomes for the Quantum Computing course.
Course includes five modules on quantum concepts, circuits, and technologies.
Laboratory practicums supported by Maple and online quantum simulators.
Prerequisites and evaluation criteria are defined.
Students will gain competencies in quantum programming and theoretical foundations.
Introduction to quantum tricks and methods for error correction in quantum circuits.

Abstract

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.

SYLLABUS₂025QuantumComputing

Key Points

Abstract

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