Quantum Computing Software

View 27 business solutions

Browse free open source Quantum Computing software and projects below. Use the toggles on the left to filter open source Quantum Computing software by OS, license, language, programming language, and project status.

  • AlertBot: Website Monitoring of Uptime, Performance, and Errors Icon
    AlertBot: Website Monitoring of Uptime, Performance, and Errors

    For IT Professionals and network adminstrators looking for a web application monitoring solution

    AlertBot monitors your website's full functionality around the clock so you can focus your time on more important things.
  • Simply Smarter SaaS Backup for Microsoft, Google and Salesforce. Icon
    Simply Smarter SaaS Backup for Microsoft, Google and Salesforce.

    Spanning proactively defends mission-critical data with automated backup that is secure, affordable and insanely easy to use.

    Comprehensive data protection. Simple recovery. Built in trust and transparency. See for yourself why Spanning is the leading cloud-to-cloud backup solution.
  • 1
    NumPy

    NumPy

    The fundamental package for scientific computing with Python

    Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today. NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries. The core of NumPy is well-optimized C code. Enjoy the flexibility of Python with the speed of compiled code. NumPy’s high level syntax makes it accessible and productive for programmers from any background or experience level. Distributed under a liberal BSD license, NumPy is developed and maintained publicly on GitHub by a vibrant, responsive, and diverse community. Nearly every scientist working in Python draws on the power of NumPy. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use.
    Downloads: 53 This Week
    Last Update:
    See Project
  • 2
    Quantum++

    Quantum++

    Modern C++ quantum computing library

    Quantum++ is a modern C++ general-purpose quantum computing library, composed solely of template header files. Quantum++ is written in standard C++17 and has very low external dependencies, using only the Eigen 3 linear algebra header-only template library and, if available, the OpenMP multiprocessing library. Quantum++ is not restricted to qubit systems or specific quantum information processing tasks, being capable of simulating arbitrary quantum processes. The main design factors taken in consideration were ease of use, high portability, and high performance. The library's simulation capabilities are only restricted by the amount of available physical memory. On a typical machine (Intel i5 8Gb RAM) Quantum++ can successfully simulate the evolution of 25 qubits in a pure state or of 12 qubits in a mixed state reasonably fast.
    Downloads: 4 This Week
    Last Update:
    See Project
  • 3
    ProjectQ

    ProjectQ

    An open source software framework for quantum computing

    ProjectQ is an open-source effort for quantum computing. It features a compilation framework capable of targeting various types of hardware, a high-performance quantum computer simulator with emulation capabilities, and various compiler plug-ins.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 4
    QuCAT

    QuCAT

    Quantum Circuit Analyzer Tool

    QuCAT stands for Quantum Circuit Analyzer Tool. This open source python library provides standard analysis tools for superconducting electronic circuits, built around Josephson junctions. QuCAT features an intuitive graphical or programmatical interface to create circuits, the ability to compute their Hamiltonian, and a set of complimentary functionalities such as calculating dissipation rates or visualizing current flows in the circuit. QuCAT currently supports quantization in the basis of normal modes.
    Downloads: 1 This Week
    Last Update:
    See Project
  • Finance Automation that puts you in charge Icon
    Finance Automation that puts you in charge

    Tipalti delivers smart payables that elevate modern business.

    Our robust pre-built connectors and our no-code, drag-and-drop interface makes it easy and fast to automatically sync vendors, invoices, and invoice payment data between Tipalti and your ERP or accounting software.
  • 5
    The aim of this project is to be a GUI front-end and visualization tools for the Vienna Ab-Initio Simulation Package, also know as VASP. VASP is density functional software which calculates a variety properties of solid state systems.
    Downloads: 8 This Week
    Last Update:
    See Project
  • 6
    Quantum Information Toolkit is a comprehensive, easy-to-use interactive numerical toolkit for quantum information and computing, available for both MATLAB and Python.
    Downloads: 8 This Week
    Last Update:
    See Project
  • 7

    Entanglement of Photons

    Time Travel is possible

    Jay Olson and Timothy Ralph recently put forward a theory that entangled photons can travel through time or at least take a short-cut through time using their method. As I understand it, the first photon is destroyed when measured however an exact copy is created in the future using qubits from the original photon. This is a simulation using one of their examples. I hope it's accurate and my apologies if it's not. Email: tmckeown@nbtv.ca
    Downloads: 2 This Week
    Last Update:
    See Project
  • 8

    Matrix Product State (MPS) Simulations

    Numerical routines for variational matrix product state simulations.

    Open Source MPS (OSMPS) is a collection of numerical routines for performing tensor network algorithms to simulate entangled, 1D many-body quantum systems. Our applications reach from ground state and excited states for statics to the dynamics of time-dependent Hamiltonians. We offer various time evolution methods with an emphasis on the support of long-range interactions through the matrix product state formalism. For more algorithms, see the list of features below. Please cite "M. L. Wall and L. D. Carr, New J. Phys. 14, 125015 (2012)" and "D. Jaschke, M. L. Wall, and L. D. Carr, Computer Physics Communications 225, 59–91 (2018)" if your publication involves OSMPS.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 9

    Simuquant

    A quantum circuit simulator written in Scala

    Simuquant is made to construct and simulate universal quantum circuits. It's GUI enables intuitive access and direct graphical feedback, making it useful in a classroom situation and the like. Simulation processing is done in parallel, utilizing parallel collections introduced in scala 2.9. This application has been created as part a bachelor-thesis at the Hamburg University of Applied Sciences. The thesis is available at: http://opus.haw-hamburg.de/volltexte/2012/1843/pdf/ba_dahl.pdf Future plans: - Operator grouping (enables repeated blocks) - Editable library
    Downloads: 1 This Week
    Last Update:
    See Project
  • Cybersecurity Management Software for MSPs Icon
    Cybersecurity Management Software for MSPs

    Secure your clients from cyber threats.

    Define and Deliver Comprehensive Cybersecurity Services. Security threats continue to grow, and your clients are most likely at risk. Small- to medium-sized businesses (SMBs) are targeted by 64% of all cyberattacks, and 62% of them admit lacking in-house expertise to deal with security issues. Now technology solution providers (TSPs) are a prime target. Enter ConnectWise Cybersecurity Management (formerly ConnectWise Fortify) — the advanced cybersecurity solution you need to deliver the managed detection and response protection your clients require. Whether you’re talking to prospects or clients, we provide you with the right insights and data to support your cybersecurity conversation. From client-facing reports to technical guidance, we reduce the noise by guiding you through what’s really needed to demonstrate the value of enhanced strategy.
  • 10
    Gaussian extract is a bash script extracting several informations from Gaussian(R) .log files.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 11
    QNC is a Environment for developing quantum computer simulations.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 12

    AnharmoniCAOS

    Cagliari-Orsay model for anharmonic molecular spectra in 2nd order PT

    Given dynamical coefficients and/or derivatives of the ionic potential with respect to normal (harmonic) vibrational modes, compute anharmonic energies and electric dipole-permitted transitions and intensities using nearly-degenerate perturbation theory (i.e. properly accounting for Fermi and Darling-Dennison resonances).
    Downloads: 0 This Week
    Last Update:
    See Project
  • 13
    3 levels density matrix simulation. Currently it enables you to get time solvetions for three-level systems. It's generates files with time solvetions for density matrix. In the future It will solve multilevel atomic system on MPI.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 14

    BGQWilson

    Wilson kernel library for Blue Gene/Q

    Lattice QCD kernel library optimized for Blue Gene/Q supercomputer.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 15
    BQSKit

    BQSKit

    Berkeley Quantum Synthesis Toolkit

    The Berkeley Quantum Synthesis Toolkit (BQSKit) [bis • kit] is a powerful and portable quantum compiler framework. It can be used with ease to compile quantum programs to efficient physical circuits for any QPU. A standard workflow utilizing BQSKit consists of loading a program into the framework, modeling the target QPU, compiling the program, and exporting the resulting circuit.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 16
    A C/C++ library for Cavity Quantum Electrodynamics Simulations. CQEDSimulator is a framework that provides all basic mathematical elements and methods to perform quantum numerical simulations. It's crossplatform, that works on Windows, Linux, Mac...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 17
    Cirq

    Cirq

    A python framework for creating, editing, and invoking NISQ

    Cirq is a Python library for writing, manipulating, and optimizing quantum circuits and running them against quantum computers and simulators.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 18
    Dipoles-Cavity Interaction
    <Temporarily Unavailable Online> This project is aiming at completing a library of open codes (mainly based on MATLAB at present) to deal with Dipoles-Cavity Interaction problems. Common methods, including Green's function method and Master Equation method et al, will be applied to the coding. Samples of calculations and standard comparison with publications using the library will be given for demonstration of the usage. Interface to some commonly used software, such as Lumerical FDTD Solutions, will also be developed in the project. This project is titled under nanophotonics, quantum optics, nano-optics, computational physics and physics.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 19
    FermiFab
    Repository moving to https://github.com/cmendl/fermifab ! A quantum physics toolbox for small fermionic systems. Keywords: quantum mechanics, reduced density matrices, Slater determinants, second quantization, creation and annihilation operators
    Downloads: 0 This Week
    Last Update:
    See Project
  • 20
    Infrared frequency scaling of MOPAC2009 .aux files.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 21
    LabRAD Experimenter
    A python package that allows scientists to easily create configurable and reusable experiments. Intended for use with the LabRAD framework. Developed by the Haeffner group studying quantum simulation at UC Berkeley. Wiki at lrexp.wikispaces.com
    Downloads: 0 This Week
    Last Update:
    See Project
  • 22
    Mitiq

    Mitiq

    Mitiq is an open source toolkit for implementing error mitigation

    Mitiq is a Python toolkit for implementing error mitigation techniques on quantum computers. Current quantum computers are noisy due to interactions with the environment, imperfect gate applications, state preparation and measurement errors, etc. Error mitigation seeks to reduce these effects at the software level by compiling quantum programs in clever ways.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 23

    NBO Analyzer

    Analyze output of NBO computations

    Downloads: 0 This Week
    Last Update:
    See Project
  • 24
    OPEN GENERAL SCIENTIFIC INTERFACES
    OPEN GENERAL SCIENTIFIC INTERFACES homepage : http://www.opengsi.org
    Downloads: 0 This Week
    Last Update:
    See Project
  • 25
    OpenFermion

    OpenFermion

    The electronic structure package for quantum computers

    OpenFermion is an open source library for compiling and analyzing quantum algorithms to simulate fermionic systems, including quantum chemistry. Among other functionalities, this version features data structures and tools for obtaining and manipulating representations of fermionic and qubit Hamiltonians. For more information, see our release paper. Currently, OpenFermion is tested on Mac, Windows, and Linux. We recommend using Mac or Linux because the electronic structure plugins are only compatible on these platforms. However, for those who would like to use Windows, or for anyone having other difficulties with installing OpenFermion or its plugins, we have provided a Docker image and usage instructions in the docker folder. The Docker image provides a virtual environment with OpenFermion and select plugins pre-installed. The Docker installation should run on any operating system.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • 2
  • Next

Guide to Open Source Quantum Computing Software

Open source quantum computing software refers to programs and applications that are made available as free, publicly distributable software. These programs allow users to explore quantum algorithms and create quantum systems, making quantum computing accessible to a much wider audience than was previously possible. The open source nature of these tools means anyone with an internet connection can access them without needing to purchase expensive proprietary software packages.

Open source quantum computing software generally consists of three components: the simulator, the language/framework and the compiler. Each component serves its own purpose in providing a complete package for developing quantum applications and algorithms. The simulator is responsible for running simulations of proposed designs while the language/framework provides an environment within which code can be written or adapted from existing codes. Finally, the compiler converts the user's code into assembly language which is then read by traditional computers such as those found in conventional desktop computers.

Open source software also gives users more freedom when it comes to customizing their projects because they don't need permission from any commercial vendor before getting started on their project. This also makes complex hardware systems easier to develop since they only require access to certain open-source libraries or frameworks rather than having to start completely from scratch. Open source projects have already been successful in areas such as cryptology where there is a high demand for secure communications solutions but little competition from commercial offerings due to their cost prohibitive nature.

Finally, open source environments provide significant advantages over proprietary solutions by offering better scalability options due to their modular nature which allows developers greater flexibility when creating applications that utilize various hardware platforms or operating systems simultaneously in order create larger simulations quickly with less latency than traditional methods would require. Open source solutions therefore offer popular benefits that make them attractive options for businesses who are looking for robust yet affordable computational power without sacrificing quality performance or security concerns when it comes time for deployment deployments on production servers and remote clients alike.

Open Source Quantum Computing Software Features

  • APIs: Open source quantum computing software provides Application Programming Interfaces (APIs) to allow users to access and analyze results from quantum computers more easily. These APIs are also used for automated testing of the software.
  • Language Support: Most open source quantum computing software supports multiple languages so that developers can write programs in their preferred language. This allows developers to be more productive and makes it easier for them to collaborate on projects.
  • Simulation: This type of software allows users to simulate the behavior of a real quantum computer in order to test new algorithms or explore different possibilities without having direct access to a physical machine.
  • Algorithm Development Tools: Open source quantum computing software typically comes with tools that allow developers and researchers to quickly develop, optimize, and debug algorithms on virtual machines prior to running them on physical hardware.
  • Compilers and Interpreters: Quantum compilers convert code written in high-level programming languages into low-level assembly language that can be run on a physical machine or simulated environment. Additionally, interpreters provide an easy way for developers to prototype applications without having to compile the code first.
  • Visualization Tools: Visualization tools allow users to better understand how their algorithms are performing by providing graphical representations such as charts and graphs of simulation data.

What Types of Open Source Quantum Computing Software Are There?

  • Open source quantum computing software can be divided into two main categories: those for quantum simulation and those for developing quantum algorithms.
  • Quantum simulation software is used to model a quantum system, such as an electron or quantum dot, or other small-scale phenomena. It provides the tools needed to study a problem and understand its behavior in a real-world setting.
  • Software designed to develop quantum algorithms is focused on providing the tools necessary to build efficient solutions using qubits and various operations. This type of software is often used by researchers trying to solve hard problems that classical computers cannot tackle efficiently.
  • Development frameworks are also available which provide building blocks for programming within the context of a unified application programming interface (API). These frameworks provide users with access to core components of a given language, allowing them to quickly create powerful programs with minimal effort.
  • Libraries are collections of code or routines pre-written by experts which offer an easy way for developers to use complex functions in their projects without having to write them from scratch themselves. These often include higher-level functionality such as libraries for solving optimization problems or debugging complex systems.
  • Cloud services are becoming increasingly popular due to their ability to allow users access massive computational power through web browser interfaces and shared data storage platforms, making it easier than ever before for people all over the world collaborate on projects related to open source quantum computing software development and deployment.

Benefits of Open Source Quantum Computing Software

Open source quantum computing software provides a number of benefits to users, such as:

  1. Increased Accessibility: Open source quantum computing software makes it simpler for users to access and download the software, meaning that those who may not have previously had access to this technology can now learn more about it and test out different scenarios.
  2. Collaboration Opportunities: By making the source code available to everyone, open source quantum computing software encourages collaboration across teams, departments, or even countries. This allows scientific findings related to quantum computing to be shared quickly and efficiently with other researchers.
  3. Innovation Acceleration: Open sourcing facilitates innovation by allowing developers from any part of the world to participate in developing quantum computers and programs. It also encourages developers within organizations to exchange ideas with one another and innovate faster than ever before.
  4. Cost Savings: By incorporating open source code into development projects instead of paying for expensive proprietary licenses or services, companies can save on development costs significantly over time. Additionally, cost savings are realized when using an open-source platform because no payments are necessary for licensing fees or associated support services.
  5. Improved Security: Open Source Quantum Computing Software is less susceptible to cyber threats as the code is inspected more frequently due to its public availability. With this increased security comes greater reliability since users know they are dealing with tested and approved codes in a secure environment.

Types of Users That Use Open Source Quantum Computing Software

  • Researchers: Researchers use open source quantum computing software to develop new ideas and applications as well as test theories.
  • Educators: Educators leverage open source quantum computing software in their classrooms to provide students with hands-on experience of working with actual quantum systems.
  • Industry Professionals: Professionals from the technology, finance, pharmaceuticals, and defense industries often utilize open source software when exploring how quantum computing can benefit their industries or developing marketable products.
  • Developers: Developers take advantage of open source quantum computing software to create new interfaces, libraries, and services that can be used by other users.
  • Hardware Designers: Open source quantum computing helps hardware developers create better design guidelines for physical quantum devices as these tools are able to simulate real-world devices more accurately than traditional methods.
  • DIY Enthusiasts: Hobbyists and makers interested in creating their own home-grown quantum computers often rely on open source programs due to the cost savings they offer compared to commercial alternatives.
  • Government Agencies: Governments may use open source programs for research into next-generation technologies such as AI or cryptography that require powerful processing capabilities not found in traditional computers.

How Much Does Open Source Quantum Computing Software Cost?

Open source quantum computing software is available for free, though some projects may require a donation or registration. As quantum computing is still in the early stages of development, most open source quantum computing software packages are limited in their capabilities and scope. Additionally, installing these programs can often be complex and challenging without technical knowledge and expertise.

The good news is that open source offerings are becoming more numerous all the time and many tools have been developed by researchers to facilitate the development of new algorithms, simulations and applications on real, as well as simulated qubits.

Ultimately, cost should not be a barrier when it comes to exploring this field as there are plenty of tools freely available online that allow users to get started quickly with minimal effort and cost involved.

What Software Does Open Source Quantum Computing Software Integrate With?

There are several types of software that can integrate with open source quantum computing software. One example is cloud storage solutions, which allow users to store and access their quantum data remotely. Additionally, development tools such as programming languages, libraries, and frameworks are necessary for developers to create applications that can be used on cryptocurrency networks and other distributed ledger technology projects. Finally, visualization tools like dashboards help users monitor the performance of their quantum computers in real-time. All of these pieces of software make up the infrastructure for successful open source quantum computing deployments and provide a platform for developers to create powerful algorithmic models and applications with the aid of a distributed network.

Open Source Quantum Computing Software Trends

  • Open source quantum computing software is becoming more popular as the technology continues to advance.
  • It allows users to access the latest advancements in quantum computing, including algorithms and tools, without having to pay for a license or subscription.
  • Open source software also enables users to modify and customize their programs to suit their specific needs.
  • Additionally, it allows developers to share their code with others, enabling collaboration and innovation in the field of quantum computing.
  • The open source approach also encourages developers to create new applications and tools by allowing them to access existing code and expand upon it.
  • With open source software, users can benefit from a larger community of developers who provide support and feedback on various projects.
  • It also allows for more experimentation with the technology, making it easier for researchers and developers to test out new ideas without worrying about licensing fees or other restrictions.
  • Finally, open source quantum computing software is helping to bridge the gap between research and industry, providing a platform for businesses to explore the potential of quantum computing without having to invest in expensive hardware or licenses.

How Users Can Get Started With Open Source Quantum Computing Software

Using open source quantum computing software is a great way to get started in the world of quantum computing. There are many different open source projects available, each with its own features, tools, and applications.

  1. The first step to getting started with using an open source quantum computing software is to decide which project you want to use. You can do this by researching different projects and assessing which one fits your needs best. There are plenty of resources online that provide information about each project so you can make an informed decision. Once you’ve chosen a project, the next step is to download it from its repository and install it onto your computer or cloud environment such as Amazon Web Services, Microsoft Azure, Google Cloud Platforms etc. Once installed and setup, you’ll then need to learn how the project works and how to use it for development purposes. This can be done either through reading official documentation provided by the developer or consulting third-party tutorials on popular learning sites like Udemy or Coursera
  2. Next up will be understanding the APIs of each language and configuring dependencies such as libraries and frameworks necessary for developing quantum applications - depending on whether your framework supports object-oriented programming (OOP) languages like Python/Julia or domain-specific ones like Q#. If you're familiar with other programming paradigms like C++, Java or JavaScript then there might not be much learning curve here but if this is all new then there could be a lot catching up to do. Lastly after everything's been set up correctly you'll have access all of a platform's features conveniently at your disposal - allowing you to develop custom quantum algorithms & programs using state-of-the art simulators various backends including real hardware from IBM/Google/Microsoft etc. Additionally some platforms may also provide GUI based integrated development environments (IDEs) such as Qiskit studio for visually creating programs without actually having code for most basic stuff - making things more convenient & intuitive even for beginners.

So hopefully these steps will help anyone who wants to get started with open source software for their quantum computing endeavors.