IBM Quantum Computing Training
Introduction to Quantum Computing
Gain an overview of quantum computing and its fundamental principles. Learn about quantum bits (qubits), quantum superposition, and entanglement, and understand how quantum computing differs from classical computing.
Getting Started with IBM Quantum
Learn how to get started with IBM Quantum. Understand the setup process, access IBM Quantum Experience, and familiarize yourself with the tools and resources available for quantum computing.
Quantum Circuits and Algorithms
Explore the concept of quantum circuits and algorithms. Learn how to design and implement quantum algorithms, such as Grover's search algorithm and Shor's factoring algorithm, and understand their applications.
IBM Quantum Hardware and Architecture
Discover the hardware and architecture behind IBM Quantum's systems. Learn about quantum processors, qubit technologies, and the physical components that make up a quantum computer.
Quantum Programming with Qiskit
Learn how to program quantum computers using Qiskit, IBM's open-source quantum computing framework. Understand Qiskit's programming model, and explore quantum programming basics, including creating and running quantum circuits.
Quantum Error Correction
Understand the principles of quantum error correction and how they are used to improve the reliability of quantum computations. Learn about error-correcting codes, fault-tolerant quantum computation, and strategies for mitigating errors in quantum systems.
Quantum Algorithms and Applications
Explore advanced quantum algorithms and their applications. Learn about quantum simulation, optimization problems, and how quantum computing can be applied to solve complex problems in various fields.
Security and Privacy in Quantum Computing
Discover the implications of quantum computing on security and privacy. Learn about quantum cryptography, the impact of quantum algorithms on current encryption methods, and strategies for securing information in a quantum world.
Performance Tuning and Optimization
Learn techniques for tuning and optimizing quantum algorithms and circuits. Understand how to improve the performance of quantum computations and make efficient use of quantum resources.
Future Trends in Quantum Computing
Explore the future trends and advancements in quantum computing. Learn about ongoing research, emerging technologies, and the potential impact of quantum computing on various industries.
Hands-On Labs and Projects
Engage in hands-on labs and projects to apply your knowledge of quantum computing. Work on practical exercises using IBM Quantum tools, develop quantum algorithms, and gain experience with real-world quantum computing challenges.
IBM Quantum Computing syllabus
1: Introduction to Quantum Computing
- Overview of Quantum Computing
- History and background
- Classical vs. quantum computing
- Basic Concepts of Quantum Mechanics
- Quantum states and qubits
- Superposition and entanglement
- Introduction to IBM Quantum Experience
- Overview of IBM Quantum and Qiskit
- Setting up IBM Quantum account
2: Qubits and Quantum Gates
- Qubit Representation
- Bloch sphere representation
- Quantum state notation
- Quantum Gates and Circuits
- Single-qubit gates: X, Y, Z, H, S, T
- Multi-qubit gates: CNOT, Toffoli, Swap
- Building quantum circuits in Qiskit
3: Quantum Measurement and Noise
- Measurement in Quantum Computing
- Measurement bases and probabilities
- Collapsing quantum states
- Quantum Noise and Error
- Types of quantum errors
- Error correction basics
- Noise models in Qiskit
4: Quantum Algorithms I
- Quantum Algorithm Basics
- Introduction to quantum algorithms
- Quantum parallelism and interference
- Simple Quantum Algorithms
- Deutsch-Jozsa algorithm
- Bernstein-Vazirani algorithm
- Implementing algorithms in Qiskit
5: Quantum Algorithms II
- Grover's Algorithm
- Problem statement and solution
- Circuit implementation
- Shor's Algorithm
- Quantum Fourier Transform
- Integer factorization
- Implementation challenges
6: Quantum Computation Models
- Circuit Model of Quantum Computation
- Gate-based quantum computing
- Alternative Models
- Measurement-based quantum computing
- Adiabatic quantum computing
7: Advanced Quantum Algorithms
- Quantum Phase Estimation
- Applications and importance
- Implementation details
- Quantum Simulation
- Simulating quantum systems
- Applications in chemistry and materials science
8: Quantum Programming with Qiskit
- Qiskit Basics
- Qiskit framework and components
- Writing and running quantum programs
- Qiskit Terra and Aer
- Circuit construction and simulation
- Noise simulation and analysis
9: Quantum Information Theory
- Quantum Entropy and Information
- Shannon entropy vs. quantum entropy
- Quantum mutual information
- Quantum Cryptography
- Quantum key distribution (QKD)
- Protocols like BB84 and E91
10: Practical Quantum Computing
- Quantum Hardware
- Superconducting qubits
- Trapped ions and other technologies
- IBM Quantum Systems
- Overview of IBM Q systems
- Accessing and using IBM Quantum devices
11: Research and Applications
- Current Research in Quantum Computing
- State of the art and future directions
- Industry Applications
- Finance, cryptography, optimization
Advanced Topics
1: Advanced Quantum Mechanics for Computing
- In-Depth Quantum Mechanics
- Review of basic quantum mechanics
- Advanced topics: tensor products, Bell states
- Advanced Qubit Operations
- Multi-qubit systems and entanglement
- Density matrices and mixed states
2: Quantum Gates and Circuits
- Advanced Quantum Gates
- Multi-controlled gates
- Universal quantum gates and gate decomposition
- Circuit Optimization
- Gate efficiency and optimization techniques
- Circuit depth and error mitigation
3: Quantum Error Correction
- Error Sources in Quantum Computing
- Decoherence and noise models
- Quantum Error Correcting Codes
- Shor code, Steane code, and surface codes
- Implementing error correction in Qiskit
4: Quantum Algorithms III
- Advanced Grover's Algorithm
- Applications and modifications
- Amplitude amplification
- Advanced Shor's Algorithm
- Detailed steps and implementation
- Quantum modular exponentiation
5: Quantum Complexity Theory
- Quantum Complexity Classes
- BQP, QMA, and other complexity classes
- Quantum Speedup
- Criteria and examples of quantum advantage
6: Quantum Information Theory and Cryptography
- Advanced Quantum Information Theory
- Entanglement measures and distillation
- Quantum channel capacities
- Advanced Quantum Cryptography
- Quantum key distribution beyond BB84
- Quantum teleportation and superdense coding
7: Quantum Machine Learning
- Introduction to Quantum Machine Learning
- Quantum data and algorithms
- Variational quantum algorithms for machine learning
- Implementation in Qiskit
- Qiskit Machine Learning module
- Practical examples and case studies
8: Quantum Simulation and Chemistry
- Quantum Simulation
- Simulating quantum systems on quantum computers
- Applications in condensed matter physics
- Quantum Chemistry
- Quantum algorithms for chemistry
- Implementing VQE and QAOA for molecular problems
9: Topological Quantum Computing
- Introduction to Topological Quantum Computing
- Anyons and topological qubits
- Implementing Topological Codes
- Surface codes and fault-tolerance
10: Quantum Hardware and Architecture
- Quantum Hardware Advances
- Superconducting qubits and their challenges
- Other qubit technologies: trapped ions, topological qubits
- Quantum Computing Architectures
- Networked quantum computing
- Scalable quantum computing architectures
11: Current Research and Developments
- Frontiers of Quantum Computing Research
- Recent breakthroughs and ongoing research areas
- Quantum Computing Ecosystem
- Industry players and research institutions
- Collaborative research and open science
Training
Basic Level Training
Duration : 1 Month
Advanced Level Training
Duration : 1 Month
Project Level Training
Duration : 1 Month
Total Training Period
Duration : 3 Months
Course Mode :
Available Online / Offline
Course Fees :
Please contact the office for details