Numerical Computations of Separability Probabilities
Jianjia Fei, Robert Joynt

TL;DR
This paper uses extensive Monte Carlo sampling to estimate the probability that bipartite quantum states are separable, supporting conjectured rational probability values across rebits, qubits, and quaterbits.
Contribution
It provides large-scale numerical estimates of separability probabilities for different quantum systems, supporting existing conjectures with extensive sampling.
Findings
Probabilities strongly support conjectured rational values.
Sampling of 5×10^{11} points for each case.
Results reinforce prior theoretical conjectures.
Abstract
We compute the probability that a bipartite quantum state is separable by Monte Carlo sampling. This is carried out for rebits, qubits and quaterbits. We sampled points for each of these three cases. The results strongly support conjectures for certain rational values of these probabilities that have been found by other methods.
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