- Quantum mechanics fundamentals for computing
- Qubit modeling and quantum state representation
- Understanding superposition and entanglement
- Quantum gates and circuit design
- Quantum measurement and error basics
- Quantum algorithms fundamentals
- Quantum programming concepts
- Problem-solving using quantum logic
- Simulation of quantum systems
- Analytical and research-oriented thinking
Tools Covered:
- IBM Quantum Experience
- Qiskit
- Python for Quantum Computing
- Quantum Circuit Simulators
- Jupyter Notebook
- Quantum Gate Libraries
- Cloud-based Quantum Platforms
- Quantum Visualization Tools
- Linear Algebra Libraries (NumPy)
- Version Control Basics (Git)
Syllabus:
Module 1: Introduction to Quantum Computing Classical vs Quantum Computing History and evolution of quantum technology Quantum computing use cases.
Module 2: Basics of Quantum Mechanics Linear algebra essential Quantum states and wave functions Dirac notation.
Module 3: Qubits and Quantum States Qubits vs classical bits Bloch sphere representation Multi-qubit systems.
Module 4: Superposition and Entanglement Principles of superposition Entanglement concepts Bell states.
Module 5: Quantum Gates Single-qubit gates Multi-qubit gates Gate matrices.
Module 6: Quantum Circuits Circuit design and execution Circuit depth and optimization Measurement operations.
Module 7: Quantum Algorithms Deutsch–Jozsa algorithm Grover’s search algorithm Shor’s algorithm (overview).
Module 8: Quantum Programming Introduction to Qiskit Building quantum circuits using Python Running circuits on simulators.
Module 9: Quantum Errors and Noise Quantum decoherence Noise models Error mitigation basics.
Module 10: Applications and Future Trends Quantum computing in cryptography Optimization and machine learning Career paths and research directions.
Industry Projects:
- Quantum Circuit Design and Simulation
- Qubit State Visualization using Bloch Sphere
- Implementation of Grover’s Search Algorithm
- Quantum Random Number Generator
- Quantum Encryption Basics Simulation
- Noise Analysis in Quantum Circuits
- Optimization Problem using Quantum Algorithms
- Quantum Gate Performance Analysis
- Classical vs Quantum Algorithm Comparison
- Cloud-based Quantum Computer Execution
Who is this program for?
- Engineering and science students
- Computer science and IT graduates
- Working professionals exploring emerging technologies
- Researchers and PhD aspirants
- Data scientists and AI professionals
- Software developers and programmers
- Faculty members and academic professionals
- R&D and innovation teams
- Technology enthusiasts and career switchers
- Professionals preparing for advanced quantum studies
How To Apply:
Mobile: 9100348679
Email: coursedivine@gmail.com
