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This is the documentation that explains the random samples of quantum states that are generated in accordance with various distributions, with each sample containing one million (or more) quantum states. The Hamiltonian Monte Carlo (HMC) strategy is the method of use. Specifically, we sample the quantum state space in dimensions 2, 3, 4, 8, and 16, with respect to different distributions as well as different measurements. The random samples are reposited in the hope that they would be useful for a variety of tasks in quantum information and quantum computation.


Search for Optimal Measurements using Iterative Methods (SOMIM), a program that can calculate the maximum mutual information and the corresponding optimal POVM outcomes given a set of statistical operators.


SeCQC is an open-source program code which implements a numerical Search for the classical Capacity of Quantum Channels (SeCQC) by using an iterative method. Given a quantum channel, SeCQC finds the statistical operators and POVM outcomes that maximize the accessible information, and thus determines the classical capacity of the quantum channel.


This is the repository for the source code used in a series of quantum key distribution experiments from key generation in form time-stamped detector data to error correction and privacy amplification. The code was designed to work with entanglement-based pair detection schemes, either implementing a BB84-type/BBM92 protocol, or an Ekert-91 protocol, which we used for our implementations of quantum key ditribution systems.