Quantum Computing Fundamentals
Quantum computing represents a paradigm shift in how we process information, offering unprecedented computational power for solving complex problems beyond the reach of classical computers. This comprehensive course provides a solid foundation in quantum computing principles, designed for technical professionals ready to explore this revolutionary technology. This course has already been successfully delivered to clients and has had some excellent feedback.
Prerequisites
- Basic Python skills would be beneficial
Contents
Why Quantum Computing?
- Classical vs. Quantum computing
- Quantum applications in data analysis
- Current state of the technology (NISQ era, hardware limitations, etc.)
Key Quantum Principles
- Qubits and superposition (intuitive examples, e.g., flipping a coin)
- Entanglement and interference
- Quantum gates vs. classical logic gates
Quantum Computing Core Concepts
- Classical vs. Quantum computing
- Qubits
- Superposition
- Entanglement
- Interference
- Working with Quantum Simulators
Quantum Gates and Circuits
- Working with Quantum Computer Simulators
- Using the Python Libraries
- Working with a Qubit
- Introduction to Quantum Gates
- The Hadamard Gate
- The CNOT Gate
The Pauli Gate
- Introduction to the Pauli Gates
- The X Axis
- The Z Axis
- The Y Axis
- Controlled Pauli Gates
- Rotational Gates
Noise and Decoherence
- Understanding why quantum computers are fragile
- Why error handling is a major challenge in quantum systems
Applying Quantum - Quantum Algorithms
- Grover’s Algorithm for Search
- Shor’s Algorithm for Factor Finding
- Variational Quantum Eigensolver (VQE) for Optimization
Quantum Computing in the Cloud
- Cloud Services for Quantum Computing
- What is Amazon Braket
- Running a Job on Braket with a real Quantum Computer
- Braket Configuration
Advanced Algorithms
- Understanding the key categories of quantum algorithms
- Focus on their practical applications and problem domains
- Algorithm Families
