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Quantum computing is one of the most important emerging technologies in computer science. By using the principles of quantum mechanics, it introduces new approaches to information processing. In this course, you will learn the core concepts of quantum computing, including qubits, superposition, entanglement, measurement, and quantum gates. You will also study the differences between classical and quantum computing through both conceptual and practical examples.\n\nThe practical part of the course focuses on programming quantum circuits with Python and the Qiskit library. You will learn how to prepare the development environment, create quantum circuits, apply different gates to qubits, execute circuits using simulators, and analyze the obtained results. You will also become familiar with running quantum circuits through cloud services and on real quantum hardware.\n\nThe course also covers important introductory quantum algorithms such as Deutsch-Jozsa and Grover's algorithm through practical implementations. It follows a project-based approach, and by the end of the course, you will complete a practical project involving the design and execution of quantum circuits and algorithms using Qiskit.
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Training on quantum machine learning principles and techniques, applying QML algorithms to solve complex problems and optimize AI models.
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Introduction to quantum computing principles and their applications in supply chain optimization, routing, and warehouse management in logistics industry.
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This course explores the principles and fundamentals of quantum communications, quantum cryptography, quantum entanglement, and quantum information transfer protocols.
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