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ObsidianVault/SS2026/Quantum Computing/2. Probabilistic systems/Probabilistic Systems.md
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Deterministic possibilities

All the different possible outcomes. Random two bit number has deterministic possibilities 00, 01, 10, 11.

Probability distribution

A Probability for each possibility: Pr[x] = p where p \in [0,1] For a coin flip this would be Pr[Heads] = 1/2 and Pr[Tails] = 1/2 Combine all probabilities for all possible outcomes as vector to get probability distribution+ A valid distribution d has \sum d_i = 1 and for all i is d_i \geq 0 For a coin flip the probability distribution would be d_coin \in \mathbb{R}^2 with d = (1/2, 1/2)^t

Probabilistic processes

A probabilistic process is a Matrix A \in \mathbb{R}^{N \times N} if every column of A is a valid probability distribution. !Pasted image 20260728163713.png An example for generating a 2 bit number and then using a bit flip device to flip both bits with a probability of 1/3