This video is a friendly introduction to quantum computing and machine learning. No knowledge required.
This video is part of a blog post with Zapata computing:
[ Ссылка ]
QCBM Paper: [ Ссылка ]
Video 2: Non-gradient optimizers, CMA-ES and PSO [ Ссылка ]
Video 3: The mathematics behind qubits (coming soon!)
Introduction: (0:00)
Quantum and classical machine learning: (1.46)
Probability: (5:12)
The qubit: (8:23)
Quantum measurement: (12:08)
Qubits as generative models: (13:42)
Measuring with different bases: (14:15)
Quantum gates: (22:27)
Quantum entanglement: (25:23)
Entanglement gates: (35:31)
Quantum machine learning (36:04)
Training models: (39:50)
Loss functions and KL divergence: (47:55)
Labs, code, etc: (49:59)
