Finance simulation
About the demo
This demo is a financial Monte Carlo simulation using quantum random numbers. The objective is to show how a financial planner can model possible outcomes of an investment in a way that considers probability distributions based on various inputs like anticipated volatility and expected return.
Better results
Smaller sample
Faster convergence
Why quantum randomness matters
Monte Carlo simulations depend on random numbers to make predictions. Classical computers only approximate randomness with pseudo-random numbers that have hidden correlations, making the effective number of independent samples much smaller.
Quantum random numbers are truly random, giving Monte Carlo simulations a real boost in precision and performance, especially for financial planners.
Other Monte Carlo use cases
Frequently asked questions
Tune your simulation
This demo uses our quantum random number generator (QRNG) to create a stock price Monte Carlo simulation. Tweak the parameters and click "Run Simulation" to see different results.
The simulation will be shown here after selecting the “run” button.
