Intel Quantum Simulator

  • Level of openness 3 ★★★
  • Document quality 3 ★★★

A full-state vector simulator of quantum circuits optimized for multi-core and multi-nodes architectures. It provides C++ and Python interfaces. Also known as qHiPSTER (The Quantum High Performance Software Testing Environment).

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Qiskit

  • Level of openness 3 ★★★
  • Document quality 3 ★★★

An open source framework for quantum computation. By using Qiskit, users can generate quantum circuits and run it on simulators and real devices.

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SpringerMaterials

  • Level of openness 0 ☆☆☆
  • Document quality 3 ★★★

A comprehensive online database for materials science. It covers 3,000 kinds of property information (crystal structure, phase diagrams, thermophysical property data, etc.) and 290,000 kinds of material data and provides efficient information search for these data. A variety of analytics tools, including data integration, graphing and customizable data visualization, are also available.

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ChemSpider

  • Level of openness 3 ★★★
  • Document quality 3 ★★★

ChemSpider is a free chemical structure database that provides fast access to over 100 million structures, properties, and related information, and is operated by the Royal Society of Chemistry.

By integrating and linking compounds from hundreds of high-quality data sources, ChemSpider makes it easy to find chemical data from diverse data sources that are freely available for online searching. Users can also add and manage data in a wikipedia-like fashion. Meanwhile, manual curation by the Royal Society of Chemistry continuously improves data quality.

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Quimb

  • Level of openness 3 ★★★
  • Document quality 3 ★★★

Easy-to-use and fast Python library for simulation of quantum information and quantum many-body systems. It provides Tensor module for tensor network simulations and Matrix module for “exact” quantum simulations.

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matminer

  • Level of openness 3 ★★★
  • Document quality 3 ★★★

Open source Python package for data mining of materials. It can extract data from more than dozens of databases, perform preprocessing and visualization of extracted data. By combining machine-learning tools such as scikit-learn, users can build machine-learning models with descriptors created from the extracted data.

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DAWN

  • Level of openness 3 ★★★
  • Document quality 3 ★★★

Open-source software for analyzing scientific data. DAWN can visualize data in various dimensions, from 1D to 3D, and it is also possible to create maps that plot different types of data. It can not only visualize data, but also process data, such as fitting for peak detection. It supports general data formats such as text files and HDF5, as well as data formats such as NeXus, which is used in X-ray experiments.

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ABINIT-MP

  • Level of openness 2 ★★☆
  • Document quality 2 ★★☆
An application for quantum chemical calculation based on the fragment molecular orbital (FMO) method. This application can perform fast quantum chemical calculation of large molecules such as biopolymers, and includes graphical user interface (GUI) to help input-data preparation and analysis of simulation results. It also supports parallel computing from small clusters to massive parallel computers such as the Supercomputer Fugaku.
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Facio

  • Level of openness 2 ★★☆
  • Document quality 2 ★★☆

An application for molecular modeling and visualization. This application can be used in cooperation with other applications such as TINKER, MSMS, Firefly, GAMESS, MOPAC, and Gaussian. In particular, this application is essential to visualization of the FMO calculation in GAMESS. It also supports graphical user interface for input-file preparation, dynamic image presentation of normal-mode vibration, and visualization of energies and structures near transition states.

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DC

  • Level of openness 3 ★★★
  • Document quality 2 ★★☆

An electronic state solver distributed with GAMESS, the quantum chemical (QM) calculation software. Combining energy density analysis and Divide-and-Conquer (DC) method, accurate QM calculation with electronic correlation is solved in a short time. Highly accurate QM calculations for many-atom/nano-scale material can be solved when run on a high performance super computer.

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