Quantum Rejection Sampling
Explore how quantum rejection sampling works to estimate probabilities by generating and selecting relevant samples. Understand challenges with low sample usefulness and how quantum amplitude amplification enhances the probability of obtaining desired evidence. Learn to design oracles and entangle qubits for targeting specific outcomes within quantum Bayesian networks to improve sampling efficiency.
We'll cover the following...
We'll cover the following...
Rejection sampling is a straightforward method. We create samples and pick the ones that contain the evidence we’re interested in. The problem with this type of sampling is that we generate ...