| Attribute | Detail |
|---|---|
| Format | Online (e-LMS) |
| Level | Advanced |
| Duration | 4 weeks |
| Certification | e-Certification + e-Marksheet |
| Fee | ₹5499 / $82 |
| Tools | Python Jupyter Notebook Google Colab Microsoft Excel Relevant Online Databases |
About the Quantum Computing Basics Course
The Quantum Computing Basics for Advanced Research program delves into the fundamental concepts and technologies underpinning quantum computing.
Designed for researchers in computational sciences, physics, and related disciplines, this course equips participants with the necessary knowledge to begin working with quantum computers and to understand their potential impacts on various scientific domains.
Program Highlights
• Comprehensive coverage of Quantum Computing Basics from fundamentals to advanced applications
• Hands-on projects and real-world case studies in Science & Technology
• Expert-curated curriculum aligned with current industry standards
• Access to recorded lectures and e-LMS platform for flexible, self-paced learning
• e-Certification and e-Marksheet upon successful completion
• Dedicated mentor support and interactive doubt-clearing sessions
• Exposure to industry-standard tools and platforms used in Science & Technology
• Career-oriented training for academic and professional growth in Science & Technology
Course Curriculum
Module 1: Introduction to Quantum Computing
- Overview of Classical vs. Quantum Computing
- Key Concepts: Qubits, Superposition, and Entanglement
- The Potential of Quantum Computing
- Applications in Cryptography, AI, and Optimization
Module 2: Quantum Bits (Qubits) and Quantum Gates
- Understanding Qubits and Quantum States
- Single Qubit Operations: Pauli-X, Pauli-Y, Pauli-Z
- Multi-Qubit Gates: CNOT, Hadamard
- Quantum Circuits and Quantum Algorithms
Module 3: Quantum Superposition and Entanglement
- Principles of Superposition
- Quantum Measurement and Probabilities
- Quantum Entanglement and its Implications
- Bell's Theorem and Quantum Nonlocality
Module 4: Quantum Algorithms: Basics
- Introduction to Quantum Algorithms
- Shor's Algorithm for Factoring
- Grover's Search Algorithm
- Quantum Speedup and Its Significance
Module 5: Quantum Computing Models and Platforms
- Quantum Turing Machine
- Quantum Annealing
- Quantum Circuit Model
- Overview of Quantum Hardware Platforms: IBM Q, Google Sycamore
Module 6: Quantum Error Correction and Noise
- The Need for Error Correction in Quantum Systems
- Basic Quantum Error Correcting Codes
- Challenges of Quantum Noise and Decoherence
- Error Mitigation Techniques
Module 7: Quantum Cryptography
- Introduction to Quantum Key Distribution (QKD)
- BB84 Protocol and its Significance
- Security in Quantum Networks
- Real-World Applications in Secure Communications
Tools, Techniques, or Platforms Covered
Python Jupyter Notebook Google Colab Microsoft Excel Relevant Online Databases
Real-World Applications
- Apply Quantum Computing Basics skills directly to academic research, thesis work, and publications
- Build a professional portfolio showcasing practical Science & Technology competencies
- Solve industry-relevant problems using Quantum Computing Basics methodologies and tools
- Contribute to open-source projects and collaborative research in Science & Technology
- Prepare for competitive examinations, interviews, and professional certifications in Science & Technology
Who Should Attend & Prerequisites
- Students pursuing degrees in Science & Technology, science, engineering, or related disciplines
- Working professionals seeking to upskill or transition into Science & Technology roles
- Researchers and academicians looking to adopt modern techniques in Science & Technology
- Entrepreneurs, freelancers, and self-learners interested in practical Science & Technology knowledge
Certification
