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This course introduces computing paradigms based on quantum mechanics principles such as superposition and entanglement. It covers quantum algorithms, hardware technologies, and practical implementation using quantum simulators and real quantum processors.

Quantum Computing

Fundamental Topics

Covers quantum mechanics basics, qubits, superposition, entanglement, quantum gates, and quantum circuit fundamentals.

 

Qubits & superposition

Quantum gates

Quantum circuits

Quantum Computing

Intermediate Topics

Focuses on quantum algorithms, error correction, quantum programming, simulation tools, and hybrid quantum-classical computing.

Quantum algorithms

Error correction

Quantum simulators

Quantum Computing

Advanced Topics

Includes fault-tolerant quantum systems, advanced algorithms, quantum machine learning, scalability challenges, and hardware architectures.

NISQ devices

Quantum hardware

Quantum advantage

Quantum Computing

Course Outcomes

Enable students to understand, design, and apply quantum algorithms for solving complex computational problems.

Understand quantum computation

Implement basic quantum algorithms

Analyze quantum system limitations