Quantum chemistry simulation library.
Harnessing the combined power of emerging quantum computing technologies and state-of-the-art classical techniques, the Quantum-Enabled Molecular ab Initio Simulation Toolkit, or QEMIST, is 1QBit’s innovative solution to a fundamental and intractable problem in chemistry: ab initio simulation of molecules.
The accurate prediction of the electronic structure of a molecule is key to the design of new materials, such as drug compounds and catalyst molecules, by helping to anticipate a material’s properties before its synthesis in the lab. However, obtaining this information using classical computers is computationally intensive, and the resources required for an exact solution scale exponentially with the size of the problem. Attempts to provide approximate approaches to this problem on classical computers have been to date either limited to small-sized systems or compromising on the accuracy of the simulation.
To install the package with pip:
Follow the setup instructions for installing the .NET Core SDK and the Microsoft IQ# module.
Install OpenQEMIST with
pip install openqemist.
To install OpenQEMIST from source, simply clone the GitHub repo and add the package
PYTHONPATH. The dependencies for running the project are the Microsoft
.NET Core SDK, IQ#, and qsharp packages as well as pyscf, numpy, and scipy. The
most current list of dependencies, as well as dependencies for building the documentation
can be found in the Dockerfile.
To get started install the package, then see the Jupyter notebooks for example usage.
Contents of the repository
Details the organization of this repository and the contents of each folder
cont_integration : Tools and script for continuous integration (versioning, automated testing and updating documentation)
documentation : Source code documentation and user documentation
examples : Examples and tutorials to learn how to use the different functionalities of the library
openqemist : The python package.
Architechture of OpenQEMIST
OpenQEMIST is organized into three layers: problem decomposition, electronic structure solvers, and hardware backends. The problem decomposition layer is responsible for splitting the input molecule into smaller subproblems and treating these using one particular eigenvalue solver (conceivably, fragments could be treated using multiple solvers), then processing these results into an overall output energy. Some electronic structure solvers use classical methods, while others use wrappers over quantum algorithms running on quantum computing emulators and simulators from quantum platofrm providers. The quantum solver backend layer implements a common interface over libraries, emulators and simulators of quantum hardware.
As OpenQEMIST includes a portion of functionalities incorporated in QEMIST, DMET is the only problem decomposition technique open sourced in our initial release. This release includes the Full CI and coupled-cluster with single and double excitations (CCSD) electronic structure solvers, as well as a quantum electronic structure solver based on the Variational Quantum Eigensolver (VQE) algorithm.
On the hardware backend, this initial release is integrated with Microsoft Quantum Development Kit for running the VQE algorithm.
We welcome contributions to OpenQEMIST! Please open an issue or submit a pull request on GitHub to start the process.
If you use OpenQEMIST in your research, please cite
Takeshi Yamazaki, Shunji Matsuura, Ali Narimani, Anushervon Saidmuradov, and Arman Zaribafiyan "Towards the Practical Application of Near-Term Quantum Computers in Quantum Chemistry Simulations: A Problem Decomposition Approach" Published on arXiv on Jun 4, 2018.
Copyright 1QBit 2019. This software is released under the Apache Software License version 2.0.
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