Get the latest tech news

Breaking Bell's Inequality with Monte Carlo Simulations in Python

The article explains the Bell inequality using Monte Carlo simulations in Python, and shows how non-local action-at-a-distance can be used to break it with entangled qubits.

By carefully selecting their measurement devices and analyzing the outcomes, Alice and Bob aim to determine whether the physical world can be explained by deterministic local hidden variables. Alice and Bob are situated in two distant locations, far enough apart that no signal — not even light — could travel between them in the time it takes to perform a single round of the game. The goal of the game is to compute a special mathematical quantity called the Bell statistic, which quantifies the correlation between the measurement outcomes of Alice and Bob.

Get the Android app