Quantum Computing Qubits, Superposition, Entanglement, and Quantum Parallelism

Course Overview:

This course provides an introductory to intermediate-level understanding of Quantum Computing, exploring the fundamental principles, quantum mechanics concepts, and computational models that make quantum computers powerful. Students will learn about qubits, superposition, entanglement, quantum gates, and quantum algorithms, along with hands-on experience in programming quantum circuits using IBM Quantum Experience and Qiskit. The course also covers real-world applications and the future impact of quantum computing on industries such as cryptography, AI, and optimization.

Course Objectives:

By the end of this course, students will:

• Understand the basic principles of quantum mechanics relevant to computing.
• Learn about qubits, superposition, entanglement, and quantum parallelism.
• Explore quantum gates, circuits, and computational models.
• Gain hands-on experience with quantum programming using Qiskit.
• Study key quantum algorithms such as Shor’s and Grover’s algorithms.
• Understand the potential and limitations of current quantum hardware.
• Learn about quantum cryptography and error correction.

Course Modules:

Module 1: Introduction to Quantum Computing

• Classical vs. Quantum Computing
• Basics of quantum mechanics
• Qubits and quantum states
• Key properties: Superposition and Entanglement

Module 2: Quantum Gates & Circuits

• Single-qubit gates: X, Y, Z, Hadamard, Pauli gates
• Multi-qubit gates: CNOT, Toffoli, SWAP
• Quantum circuits and measurement
• Hands-on: Building simple quantum circuits with Qiskit