Online/ e-LMS
Mentor Based
Advanced
4 weeks
About
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.
Aim
This program is crafted to introduce PhD scholars and academicians to the foundational principles of quantum computing, preparing them to explore and contribute to this cutting-edge field. It aims to cultivate an understanding of quantum mechanics basics, quantum algorithms, and their applications in solving complex computational problems.
Program Objectives
- Gain a thorough understanding of the principles and mechanics of quantum computing.
- Learn to implement and test basic quantum algorithms.
- Understand the hardware behind quantum computers and their operation.
- Explore practical applications of quantum computing in various fields.
- Discuss the broader impacts and ethical considerations of quantum technologies.
Program Structure
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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
Intended For
Designed for academicians, researchers, and PhD scholars in fields such as computer science, physics, engineering, and mathematics, who possess a strong foundation in their respective domains and are interested in expanding their research to include quantum computing.
Program Outcomes
- Proficiency in basic quantum computing concepts and algorithms.
- Practical experience in programming quantum computers.
- Understanding of quantum computing hardware and its applications.
- Insight into the ethical and societal impacts of quantum technology.
- Preparedness to engage in advanced quantum computing research.
Fee Structure
Fee: INR 10,999 USD 164
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E-LMS
Price : 2499
E-LMS + Video
Price : 6999
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Key Takeaways
- Access to e-LMS
- Real Time Project for Dissertation
- Project Guidance
- Paper Publication Opportunity
- Self Assessment
- Final Examination
- e-Certification
- e-Marksheet
Future Career Prospects
- Quantum Computing Researcher
- Quantum Algorithms Developer
- Quantum Hardware Specialist
- CTO for Quantum Technologies
- Quantum Computing Consultant
- Academic Faculty in Quantum Computing
Job Opportunities
- Research Laboratories
- Technology Companies Developing Quantum Computers
- Government Agencies with Defense or Research Departments
- Academic Institutions
- Private Quantum Technology Startups
- Consulting Firms Specializing in Technology
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