GSoC 2019 QuTiP project

This is the permanent link for the deliverables of the GSoC 2019 QuTiP project "Noise Models in QIP Module". The aim of this project is to equip the QuTiP `qip` module with a numerical simulator using the open system solver and the optimal control module. The final deliverables generalize this goal a little bit and establish a framework for NISQ (Noisy Intermediate-Scale Quantum) simulator, upon which models for different quantum devices can be built. Two existing examples in the `qip` modules were refactored and adapted to this new framework. We expect to release this new feature in the next major version of QuTiP. As it is a framework for simulation of quantum devices, future work includes implementing more concrete and modern examples of quantum computing models such us ion trap or superconducting quantum computing. The main deliverables containing the following: A numerical NISQ simulator using the QuTiP opens system solver. Refactoring the existing `SpinChain` a

As we are approaching the end of this GSoC project, it is time to write a summary of the whole GSoC project. During the last two and a half months, the project basically followed the main points in the proposal and adapted the implementation details to the real situation. The final delivery of this project is a NISQ (Noisy Intermediate-Scale Quantum) simulator based on the QuTiP open system solver. It offers a framework for simulating quantum device. Three examples, the SpinChain, CavityQED and OptPulseProcessor demonstrate how to implement a concrete model. In addition,  we add a noise module as a framework for simulating device-dependent noise in the system. The main pull request is at  https://github.com/qutip/qutip/pull/1065 . This GSoC project has been the main theme of my past few months.  Before this project, my programming experience is only on home-work level and only for self-use. This is the first time that I work on a project that is going to be released and used by the o

This week was dedicated to polishing the code, writing documentation and notebooks. I collected the notebook examples I wrote in the past two months and join them into three new notebooks in  https://github.com/qutip/qutip-notebooks/pull/88 . There is one notebook for NISQ simulation, one for OptPulseProcessor and one for the Deutsch-Jozsa Algorithm. The documentation is displayed blow. Since rendering is a little bit different, the GitHub version might be easier to read( https://github.com/BoxiLi/qutip-doc/blob/qip_doc/guide/guide-qip.rst ) Quantum Information Processing .. ipython:: :suppress: In [1]: from qutip import * In [1]: import numpy as np Introduction The Quantum Information Processing (QIP) module aims at providing basic tools for quantum computing simulation both for simple quantum algorithm design and for experiment realization. It offers two different approaches, one with :class:`qutip.qip.QubitCircuit` calculating unitary evolution u