Open Source Quantum Computing Software
Sort By:
Quantum Computing Software
View 32 business solutionsBrowse 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.
-
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
Level Up Your Cyber Defense with External Threat ManagementMove beyond alerts. Gain full visibility, context, and control over your external attack surface to stay ahead of every threat.
-
1
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. -
2
Qiskit
Qiskit is an open-source SDK for working with quantum computers
Qiskit [kiss-kit] is an open-source SDK for working with quantum computers at the level of pulses, circuits, and application modules. When you are looking to start Qiskit, you have two options. You can start Qiskit locally, which is much more secure and private, or you get started with Jupyter Notebooks hosted in IBM Quantum Lab. Qiskit includes a comprehensive set of quantum gates and a variety of pre-built circuits so users at all levels can use Qiskit for research and application development. The transpiler translates Qiskit code into an optimized circuit using a backend’s native gate set, allowing users to program for any quantum processor or processor architecture with minimal inputs. Users can run and schedule jobs on real quantum processors, and employ Qiskit Runtime to orchestrate quantum programs on cloud-based CPUs, QPUs, and GPUs. -
3
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. -
4
OpenQASM
Quantum assembly language for extended quantum circuits
OpenQASM is an imperative programming language designed for near-term quantum computing algorithms and applications. Quantum programs are described using the measurement-based quantum circuit model with support for classical feed-forward flow control based on measurement outcomes. OpenQASM presents a parameterized set of physical logic gates and concurrent real-time classical computations. Its main goal is to serve as an intermediate representation for higher-level compilers to communicate with quantum hardware. Allowances have been made for human usability. In particular, the language admits different representations of the same program as it is transformed from a high-level description to a pulse representation. -
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
-
5
QuTiP
QuTiP: Quantum Toolbox in Python
QuTiP is open-source software for simulating the dynamics of open quantum systems. The QuTiP library depends on the excellent Numpy, Scipy, and Cython numerical packages. In addition, graphical output is provided by Matplotlib. QuTiP aims to provide user-friendly and efficient numerical simulations of a wide variety of Hamiltonians, including those with arbitrary time-dependence, commonly found in a wide range of physics applications such as quantum optics, trapped ions, superconducting circuits, and quantum nanomechanical resonators. QuTiP is freely available for use and/or modification on all major platforms such as Linux, Mac OSX, and Windows*. Being free of any licensing fees, QuTiP is ideal for exploring quantum mechanics and dynamics in the classroom. -
6
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. -
7
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. -
8
Azure Quantum Development Kit
Azure Quantum Development Kit
Azure Quantum Development Kit, including the Q# programming language, resource estimator, and Quantum Katas. The playground is a small website that loads the Q# editor, compiler, samples, katas, and documentation for the standard library. It's a way to manually validate any changes you make to these components. The easiest way to develop in this repo is to use VS Code. When you open the project root, by default VS Code will recommend you install the extensions listed in .vscode/extensions.json. These extensions provide language services for editing, as well as linters and formatters to ensure the code meets the requirements (which are checked by the build.py script and CI). -
9
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. -
Grafana: The open and composable observability platformGrafana is the open source analytics & monitoring solution for every database.
-
10
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. -
11
Perceval
An open source framework for programming photonic quantum computers
An open-source framework for programming photonic quantum computers. Through a simple object-oriented Python API, Perceval provides tools for composing circuits from linear optical components, defining single-photon sources, manipulating Fock states, running simulations, reproducing published experimental papers and experimenting with a new generation of quantum algorithms. It aims to be a companion tool for developing photonic circuits – for simulating and optimizing their design, modeling both the ideal and realistic behaviors, and proposing a normalized interface to control them through the concept of backends. -
12
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. -
13
PyQuil
A Python library for quantum programming using Quil
PyQuil is a Python library for quantum programming using Quil, the quantum instruction language developed at Rigetti Computing. PyQuil serves three main functions. PyQuil has a ton of other features, which you can learn more about in the docs. However, you can also keep reading below to get started with running your first quantum program. Without installing anything, you can quickly get started with quantum programming by exploring our interactive Jupyter Notebook tutorials and examples. To run them in a preconfigured execution environment on Binder, click the "launch binder" badge at the top of the README or the link here! To learn more about the tutorials and how you can add your own, visit the rigetti/forest-tutorials repository. If you'd rather set everything up locally, or are interested in contributing to pyQuil, continue to the next section for instructions on installing pyQuil and the Forest SDK. -
14
Q-CTRL Open Controls
Q-CTRL Open Controls
Q-CTRL Open Controls is an open-source Python package that makes it easy to create and deploy established error-robust quantum control protocols from the open literature. The aim of the package is to be the most comprehensive library of published and tested quantum control techniques developed by the community, with easy-to-use export functions allowing users to deploy these controls on. -
15
QPanda 2
QPanda 2 is an open source quantum computing framework
QPanda2 is an open source quantum computing framework developed by Origin Quantum, which can be used to build, run and optimize quantum algorithms. QPanda2 is the basic library of a series of software developed by Origin Quantum, which provides core components for QRunes, Qurator and quantum computing services. -
16
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. -
17
Qulacs
Variational Quantum Circuit Simulator for Quantum Computation Research
Variational Quantum Circuit Simulator for Quantum Computation Research. Qulacs is a Python/C++ library for fast simulation of large, noisy, or parametric quantum circuits. Qulacs is developed at QunaSys, Osaka University, NTT, and Fujitsu. -
18
Superstaq
Quantum software platform that is optimized across the quantum stack
This repository is the home of the Superstaq development team's open-source work. Our quantum software platform is optimized across the quantum stack and enables users to write quantum programs in Cirq or Qiskit and target a variety of quantum computers and simulators. -
19
Tequila
A High-Level Abstraction Framework for Quantum Algorithms
Tequila is an abstraction framework for (variational) quantum algorithms. It operates on abstract data structures allowing the formulation, combination, automatic differentiation and optimization of generalized objectives. Tequila can execute the underlying quantum expectation values on state-of-the-art simulators as well as on real quantum devices. -
20
TorchQuantum
A PyTorch-based framework for Quantum Classical Simulation
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers. Researchers on quantum algorithm design, parameterized quantum circuit training, quantum optimal control, quantum machine learning, and quantum neural networks. Dynamic computation graph, automatic gradient computation, fast GPU support, batch model terrorized processing. -
21
Yao
Extensible, Efficient Quantum Algorithm Design for Humans
An intermediate representation to construct and manipulate your quantum circuit and let you make own abstractions on the quantum circuit in native Julia. Yao supports both forward-mode (faithful gradient) and reverse-mode automatic differentiation with its builtin engine optimized specifically for quantum circuits. Top performance for quantum circuit simulations. Its CUDA backend and batched quantum register support can make typical quantum circuits even faster. Yao is designed to be extensible. Its hierarchical architecture allows you to extend the framework to support and share your new algorithm and hardware. -
22
staq
Full-stack quantum processing toolkit
staq is a modern C++ library for the synthesis, transformation, optimization and compilation of quantum circuits. staq is written in standard C++17 and has very low external dependencies. It is usable either through the provided binary tools, or as a header-only library that can be included to provide direct support for parsing & manipulating circuits written in the OpenQASM circuit description language. Inspired by Clang, staq is designed to manipulate OpenQASM syntax trees directly, rather than through an intermediate representation which makes retrieving the original source code impossible. In particular, OpenQASM circuits can be inspected and transformed (in most cases) without losing the original source structure. This makes staq ideally suited for source-to-source transformations, where only specific changes are desired. Likewise, this allows translations to other common circuit description languages and libraries to closely follow the OpenQASM source. -
23
Quantum Wells, Wires and Dots
A set of tools for simulating semiconductor nanostructures.
This software accompanies the textbook "Quantum Wells, Wires and Dots" (4th Edition), Paul Harrison and Alex Valavanis, Wiley, Chichester (2015). It is adapted (by the same authors) from code that was originally supplied on a CD with the first edition of the book [1] and is now made available under the GPL3 license. In brief, we encourage everyone to use the software in your studies and research, to study and modify the source-code and to share it widely. However, you are not permitted to include any of our code in a closed-source project. -
24
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.
-
25
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...
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:
- 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.
- 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.
- 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.
- 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.
- 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.
- 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
- 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.
