Desktop Software Development machine-learning, Data-mining, Python, C++
As a software developer Implemented so-called "Jaynes-Cummings-Hubbard" quantum system model:
* fundamental nontrivial scientific calculations & simulations (with machine-learning) in extreme environment
* multi-dimentional density matrixes
* composite qunatum entaglement & system entropy
* composite multi-threading in parallel
The results are drawn as a three-dimensional graphs. Successfully shown at ICMNE 2014 with an extended Session "Quantum Informatics"
Intel® Threading Building Blocks (Intel® TBB) active contributor.
It lets you easily write parallel C++ programs that take full advantage of multicore performance, that are portable and composable, and that have future-proof scalability.
• Parallel algorithms and data structures
• Scalable memory allocation and task scheduling
• Rich feature set for general purpose parallelism
• C++; Windows*, Linux*, OS X* and other OSes
Work Terms
I suggest creating private github repository for you to review my job process and make corrections (if needed). We can discuss all details before we start or choose more suitable way of interaction.