Qiskit_Modern_Presentation_of_qubit.pptx

Main points only

1. Introduction to Qiskit Exploring Quantum Computing with IBM’s Open-Source Framework

2. Overview • What is Qiskit? • Why do we use it? • Core Components of Qiskit • Basic Coding Example • Applications & Real-World Use • Summary & Key Takeaways

3. What is Qiskit? Qiskit is an open-source quantum computing software framework developed by IBM. It enables users to design, simulate, and run quantum circuits on simulators or real quantum devices. Built using Python, it provides an intuitive interface for quantum programming.

4. Why Qiskit? It allows hands-on experimentation with quantum algorithms and circuits. Provides visualization tools to understand quantum behavior easily. Directly connects to IBM Quantum Cloud for executing programs on actual quantum computers.

5. Core Components of Qiskit Qiskit Terra – Builds and optimizes quantum circuits. Qiskit Aer – Offers powerful simulation capabilities. Qiskit Ignis – Helps in noise characterization and error correction. Qiskit Aqua – Provides algorithms for machine learning, chemistry, and optimization.

6. Example: Creating a Bell State from qiskit import QuantumCircuit, Aer, execute qc = QuantumCircuit(2, 2) qc.h(0) # Apply Hadamard gate qc.cx(0, 1) # Apply CNOT gate qc.measure([0,1],[0,1]) sim = Aer.get_backend('qasm_simulator') result = execute(qc, sim).result() print(result.get_counts())

7. Applications of Qiskit Used in quantum cryptography and secure communications. Simulates molecular structures for quantum chemistry research. Solves complex optimization problems faster than classical methods. Supports emerging quantum machine learning models.

8. Summary & Key Takeaways Qiskit simplifies access to real quantum computing resources. It is widely used for education, research, and industry innovation. With Qiskit, anyone can start learning and experimenting with quantum concepts. Learn more at: qiskit.org