Quantum Random Generator Augmented MonteCarlo Simulator
devpost.com
Quantum Random Generator Augmented MonteCarlo Simulator
Monte Carlo methods are powerful modelling tools that depend on random variables. We use the probabilistic nature of quantum computing to generate true random variables in this project.
Feb 8, 2021
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MONTE CARLO SIMULATIONS For example, consider a quadrant (circular sector) inscribed in a unit square. Given that the ratio of their areas is π/4⁠, the value of π can be approximated using the Monte Carlo method: Draw a square, then inscribe a quadrant within it. Uniformly scatter a given number of points over the square. Count the number of points inside the quadrant, i.e. having a distance from the origin of less than 1. The ratio of the inside-count and the total-sample-count is an estimate o
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