Quantum Computing Basics Certified Course

Course Description:

The Quantum Computing Basics Certified Course is designed to introduce learners to the principles of quantum mechanics applied to computing. You’ll explore the foundation of qubits, superposition, entanglement, and quantum gates, along with practical exposure to quantum programming frameworks like Qiskit and Cirq. By the end, you will understand how quantum computers differ from classical ones and how they are applied in cryptography, optimization, and AI.

Key Features of Course Divine:

• Collaboration with E‑Cell IIT Tirupati
• 1:1 Online Mentorship Platform
• Credit-Based Certification
• Live Classes Led by Industry Experts
• Live, Real-World Projects
• 100% Placement Support
• Potential Interview Training
• Resume-Building Activities

Career Opportunities After Quantum Computing Basics Certified Course:

• Quantum Software Developer
• Quantum Algorithm Researcher
• Data Scientist (Quantum-Aware)
• AI & Machine Learning Specialist 
• Research Assistant in Quantum Labs
• Cloud Quantum Computing Specialist

Essential Skills you will Develop Quantum Computing Basics Certified Course:

• Understanding of qubits, superposition, and entanglement
• Designing and simulating quantum circuits
• Implementing algorithms like Grover’s and Shor’s
• Quantum programming using Qiskit, Cirq, and IBM Quantum
• Problem-solving with quantum optimization and ML techniques
• Basics of quantum cryptography and secure communication

Tools Covered:

• IBM Quantum Experience
• Qis kit (Python SDK)
• Google Cinq
• Microsoft Q# / Azure Quantum
• Quantum Circuit Simulators

Syllabus:

Module 1: Introduction to Quantum Computing Evolution of computing: classical vs. quantum Why quantum computing? Applications across industries.

Module 2: Quantum Mechanics Fundamentals Basics of quantum theory Wave-particle duality Postulates of quantum mechanics for computing.

Module 3: Qubits and Quantum States Qubits vs classical bits Superposition principle Bloch sphere representation ,Entanglement and measurement.

Module 4: Quantum Gates and Circuits Single-qubit gates (X, Y, Z, H, S, T) Multi-qubit gates (CNOT, Toffoli, Swap) Quantum circuit design and simulation.

Module 5: Quantum Algorithms – Foundations Deutsch & Deutsch-Jozsa algorithm Grover’s search algorithm Shor’s factorization algorithm Quantum Fourier Transform (QFT).

Module 6: Quantum Error Correction Sources of noise in quantum systems Quantum decoherence Error correction codes and fault tolerance.

Module 7: Quantum Programming Tools Introduction to IBM Q Experience Programming with Qis kit (Python SDK) Basics of Google Cinq and Microsoft Q#

Module 8: Quantum Machine Learning Introduction to Quantum ML Variationally quantum algorithms Hybrid quantum-classical models.

Module 9: Applications of Quantum Computing Quantum cryptography and security Optimization problems Quantum simulations in chemistry & materials science Use cases in AI, finance, and healthcare.

Module 10: Future Trends and Research Directions Quantum supremacy and NISQ era Scalability challenges in quantum hardware Roadmap of leading companies (IBM, Google, Microsoft) Future career and research opportunities.

Industry Projects:

• Build and simulate a Quantum Circuit using Qiskit
• Implement Grover’s Algorithm for database search
• Quantum-based encryption/decryption simulation
• Optimization problem solved using Quantum Annealing
• Explore Quantum ML models for classification

 Who is this program for?

• Students of Computer Science, Physics, and Engineering
• AI/ML enthusiasts looking to explore quantum computing applications
• Professionals in Data Science, Cybersecurity, and Cloud Computing
• Researchers aiming to build careers in Quantum Technology
• Anyone curious about the next revolution in computing

How To Apply:

Mobile: 9100348679

Email: coursedivine@gmail.com