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Improving randomness may be the key to more powerful quantum computers
Understanding randomness is crucial in many fields. From computer science and engineering to cryptography and weather ...
IFLScience23d
With Quantum Entanglement And Blockchain, We Can Finally Generate Real Random Numbers - IFLScience
In fact, NIST researchers used exactly this technique to generate certifiably random numbers back in 2018. “Our quantum source and protocol is like a fail-safe,” NIST mathematician Peter ...
GitHub27d
QueueSim is a Python package for discrete event stochastic simulation of queueing networks. For Kendall models the performance indicators can also be computed using ... - GitHub
Python 3.7 or higher is needed to execute QueueSim. numpy is used by queuesim.statistics and in several example files. pandas and scipy are used in queuesim.analytic. The visualizations in the example ...
GitHub27d
QuTiP: Quantum Toolbox in Python - GitHub
You are most welcome to contribute to QuTiP development by forking this repository and sending pull requests, or filing bug reports at the issues page. You can also help out with users' questions, or ...