Quantum Computing Basics
Unlocking the Quantum Realm: Foundations for Future Technologies
Skills you will gain:
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.
What you will learn?
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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.
Career Supporting Skills