Computer vision meets quantum - a look into the bloch sphere
Discover how quantum computing could revolutionise computer vision and image processing. This video explores the fundamentals of qubits, superposition, and entanglement, and demonstrates how quantum principles can dramatically reduce data requirements for image representation.
You’ll learn why quantum technology matters for future applications, how it differs from classical computing, and what makes quantum image encoding so powerful. From bloch spheres to practical examples using Qiskit, this session offers a fascinating glimpse into cutting-edge research and its potential impact on machine vision and AI (Artificial Intelligence).
Topics covered
- What makes qubits different from classical bits
- How superposition and entanglement enable efficient image encoding
- Practical example of quantum image representation using FRQI (Flexible Representation of Quantum Images)
- Why quantum computing can store exponential image data with fewer resources
- Challenges in quantum hardware and software development
- Future applications in quantum machine learning and edge detection
Video timeline
- 00:00 - Introduction
- 02:01 - Development of computers
- 04:14 - Quantum computer
- 05:16 - Ion platforms
- 05:47 - Neutral atom platforms
- 06:45 - Transistor logic, quantum logic
- 08:46 - Bloch sphere
- 10:06 - How can we represent images in qubits?
- 13:46 - Measurements
- 15:40 - What's the catch?
- 17:48 - Quantum image
- 19:16 - Applied quantum computing at HHN
- 20:13 - Q&A
Who should watch
Ideal for software engineers, computer scientists, vision developers, and tech enthusiasts interested in quantum computing, machine vision, and future AI applications.
Watch now to explore the future of quantum-powered image processing.
