Quantum Computing is the next generation computing paradigm that will revolutionize new economies and change the world. Taking only days or hours to solve problems that would take billions of years using today’s computers, quantum computers will enable new discoveries in the areas of healthcare, energy, environmental systems, smart materials, and beyond. Tensorflow Quantum (TFQ) is designed for the problems of NISQ-era quantum machine learning. It brings quantum computing primitives—like building quantum circuits—to the TensorFlow ecosystem. Models and operations built with TensorFlow use these primitives to create powerful quantum-classical hybrid systems.
In Quantum Machine Learning with Tensorflow Quantum (TFQ) training course, delegates will learn to apply Quantum computing machine learning skills using TFQ.
By attending Quantum Machine Learning with Tensorflow Quantum workshop, delegates will learn:
- Qubits Superposition
- Quantum Gates and Circuits
- Quantum Machine Learning
- Tensorflow Quantum
- Basic Python
- Quantum Scientists
- Quantum Computing Programmers
- IT Developers