Probability for Deep Learning Quantum

1. Introduction to a many sorted algebra view
2. Information geometry
3. Symplectic tomographic probability
4. Born's rule for quantum probability calculations
5. Msa view for a random variable algebra
6. Algebra illustrations using probability indicators
7. Algebras for complex and quaternion RV
8. Msa for stochastic processes and large deviation theory
9. Probability in canonicle commutational relations
10. Applied probability in quantum
11. Entanglement
12. Quasi probability
13. Noisy Intermediate Scale Quantum NISQ Computing
14. Machine Learning Meets Quantum

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• Probabilidade e Estatística
• Estocástica
• Aprendizagem mecânica
• Ciência da Computação

Bayesian Kernel Models; Noether's Theorem; Tikhonov Regularization; Kernel and Radial Ridge Regression; Glivenko-Cantelli Class; Stochastic and Probabilistic Neural Nets; Born Rule; Gleason's Theorem; Klein-Gordon Probability; Quasi-Probabilities; Mercer Kernels; Cauchy Random Fields; Error Correction Codes; Markov Chain Monte Carlo; Levy's Continuity Theorem; Schmidt decomposition