Best Quantum Computing Software in Africa
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Compare the Top Quantum Computing Software in Africa as of June 2025
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What is Quantum Computing Software in Africa?
Quantum computing software is designed to simulate quantum systems. It enables developers to explore the potential of quantum computing and can be used for a variety of applications such as cryptography, search optimization, materials simulation, machine learning and artificial intelligence. Quantum computers are powered by algorithms that use qubits instead of classical bits which allow them to calculate with a much higher speed than regular computers. The open-source nature of many quantum computing software packages allows anyone who has an interest in this technology to create projects and new algorithms. Compare and read user reviews of the best Quantum Computing software in Africa currently available using the table below. This list is updated regularly.
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1
TensorFlow
TensorFlow
An end-to-end open source machine learning platform. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging. Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use. A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster. Build, deploy, and experiment easily with TensorFlow.Starting Price: Free -
2
QC Ware Forge
QC Ware
Unique and efficient turn-key algorithms for data scientists. Powerful circuit building blocks for quantum engineers. Turn-key algorithm implementations for data scientists, financial analysts, and engineers. Explore problems in binary optimization, machine learning, linear algebra, and monte carlo sampling on simulators and real quantum hardware. No prior experience with quantum computing is required. Use NISQ data loader circuits to load classical data into quantum states to use with your algorithms. Use circuit building blocks for linear algebra with distance estimation and matrix multiplication circuits. Use our circuit building blocks to create your own algorithms. Get a significant performance boost for D-Wave hardware and use the latest improvements for gate-based approaches. Try out quantum data loaders and algorithms with guaranteed speed-ups on clustering, classification, and regression.Starting Price: $2,500 per hour -
3
Covalent
Agnostiq
Covalent’s serverless HPC architecture allows you to easily scale jobs from your laptop to your HPC/Cloud. Covalent is a Pythonic workflow tool for computational scientists, AI/ML software engineers, and anyone who needs to run experiments on limited or expensive computing resources including quantum computers, HPC clusters, GPU arrays, and cloud services. Covalent enables a researcher to run computation tasks on an advanced hardware platform – such as a quantum computer or serverless HPC cluster – using a single line of code. The latest release of Covalent includes two new feature sets and three major enhancements. True to its modular nature, Covalent now allows users to define custom pre- and post-hooks to electrons to facilitate various use cases from setting up remote environments (using DepsPip) to running custom functions.Starting Price: Free -
4
Amazon Braket
Amazon
Easily work with different types of quantum computers and circuit simulators using a consistent set of development tools. Build quantum projects on a trusted cloud with simple pricing and management controls for both quantum and classical workloads. Run hybrid quantum-classical algorithms faster with priority access to quantum computers and no classical infrastructure to manage. Reserve dedicated device access and engage directly with quantum computing specialists using Braket Direct. Accelerate scientific discovery with tools for algorithm development and support from the AWS Cloud Credit for Research Program. Push the boundaries of quantum hardware research with easy access to superconducting, trapped ion, and neutral atom devices. Bring software for quantum computing to market rapidly with Amazon Braket’s software development kit, simple pricing, and workflow management.Starting Price: $0.08000 per month -
5
Azure Quantum
Microsoft
Use state-of-the-art cloud tools and learning resources to help you build and refine quantum algorithms. Gain access to a diverse portfolio of today’s quantum hardware. Access a diverse portfolio of today’s quantum hardware to build toward the emergence of fault-tolerant quantum systems. Navigate complexity and develop new skills with world-class onboarding and education resources including Microsoft Learn, Quantum katas tutorials, industry case studies, and a university curriculum. Use the Azure Quantum resource estimator tool to estimate the number of logical and physical qubits and runtime required to execute quantum applications on future-scaled quantum computers. Determine the number of qubits needed for a quantum solution and evaluate the differences across qubit technologies. Prepare and refine quantum solutions to run on future-scaled quantum machines. -
6
Neuri
Neuri
We conduct and implement cutting-edge research on artificial intelligence to create real advantage in financial investment. Illuminating the financial market with ground-breaking neuro-prediction. We combine novel deep reinforcement learning algorithms and graph-based learning with artificial neural networks for modeling and predicting time series. Neuri strives to generate synthetic data emulating the global financial markets, testing it with complex simulations of trading behavior. We bet on the future of quantum optimization in enabling our simulations to surpass the limits of classical supercomputing. Financial markets are highly fluid, with dynamics evolving over time. As such we build AI algorithms that adapt and learn continuously, in order to uncover the connections between different financial assets, classes and markets. The application of neuroscience-inspired models, quantum algorithms and machine learning to systematic trading at this point is underexplored. -
7
QANplatform
QANplatform
Developers and enterprises can build Quantum-resistant smart-contracts, DApps, DeFi solutions, NFTs, tokens, Metaverse on top of the QAN blockchain platform in any programming language. QANplatform is the first Hyperpolyglot Smart Contract platform where developers can code in any programming language and also get rewarded for writing high-quality code reusable by others. The Quantum threat is very real. Existing chains can not defend against it. QAN is resistant against it from ground up, your future funds are safe. Quantum-resistant algorithms — also known as post-quantum, quantum-secure, or quantum-safe — are cryptographic algorithms that can fend off attacks from quantum computers. Quantum-resistant algorithms — also known as post-quantum, quantum-secure, or quantum-safe — are cryptographic algorithms that can fend off attacks from quantum computers. -
8
xx network
xx network
Introducing the xx network, the first and only quantum-resistant and privacy-focused blockchain ecosystem. Now offering the ultra-secure messaging application, xx messenger. Start using the blockchain of the future, the only Layer One protocol protected against quantum computing attacks. Introducing the first and only messenger app that truly protects communication between sender and receiver. All messages are end-to-end encrypted, and no metadata is ever collected. Powered by the xx network. A new easy-to-use digital currency. Designed to be the most secure and usable digital currency available today. xx messenger keeps all user activity private. No tracking, no profiling, and no surveillance. With end-to-end encryption, of course. Introducing xx messenger. Imagine a world where no one, no one, can read your messages and sell your data. Low-cost, quantum-ready, and metadata-protected. A next-gen currency to protect against next-gen threats. -
9
Quantum Origin
Quantinuum
Experience the world’s only quantum-computing-hardened encryption keys, ensuring provably superior protection and allowing you to seamlessly strengthen your existing cybersecurity systems for enhanced security today, and into the future. Every organization owns sensitive data that must be kept secret at all costs. Quantum Origin adds unmatched cryptographic strength to existing cybersecurity systems, giving your enterprise a long-term edge against cyber criminals. Maintaining the trust of customers, shareholders, and regulators means adapting and strengthening your cybersecurity foundations. Adopting Quantum Origin showcases your commitment to staying ahead of potential threats. Quantum Origin verifiably strengthens the cryptographic protection around your technology and services, proving you take the privacy and security of your customer's data as seriously as they do. Let your customers know their data is safe with the ultimate in cryptographic protection. -
10
InQuanto
Quantinuum
Quantum computing offers a path forward to rapid and cost-effective development of new molecules and materials. InQuanto, a state-of-the-art quantum computational chemistry platform, represents a critical step toward this goal. Quantum chemistry aims to accurately describe and predict the fundamental properties of matter and hence is a powerful tool in the design and development of new molecules and materials. However, molecules and materials of industrial relevance are complex and not easy to accurately simulate. Today’s capabilities force a trade to either use highly accurate methods on the smallest-sized systems or use approximating techniques. InQuanto’s modular workflow enables both computational chemists and quantum algorithm developers to easily mix and match the latest quantum algorithms with advanced subroutines and error mitigation techniques to get the best out of today’s quantum platforms. -
11
Silq
Silq
Silq is a new high-level programming language for quantum computing with a strong static type system, developed at ETH Zürich. Silq was originally published at PLDI'20. -
12
BQSKit
Berkeley Lab
BQSKit stands on its own as an end-to-end compiling solution by combining state-of-the-art partitioning, synthesis, and instantiation algorithms. The framework is built in an easy-to-access and quick-to-extend fashion, allowing users to best tailor a workflow to suit their specific domain. Global circuit optimization is the process of taking a quantum program, given as a quantum circuit, and reducing (optimizing) its depth. The depth of a quantum circuit is directly related to the program’s runtime and the probability of error in the final result. BQSKit uses a unique strategy that combines circuit partitioning, synthesis, and instantiation to optimize circuits far beyond what traditional optimizing compilers can do. -
13
Intel Quantum Simulator
Intel Quantum Simulator
It is based on a complete representation of the qubit state but avoids the explicit representation of gates and other quantum operations in terms of matrices. Intel-QS uses the MPI (message-passing-interface) protocol to handle communication between the distributed resources used to store and manipulate quantum states. Intel-QS builds as a shared library which, once linked to the application program, allows to take advantage of the high-performance implementation of circuit simulations. The library can be built on a variety of different systems, from laptops to HPC server systems. -
14
LIQUi|>
Microsoft
LIQUi|> is a software architecture and tool suite for quantum computing. It includes a programming language, optimization and scheduling algorithms, and quantum simulators. LIQUi|> can be used to translate a quantum algorithm written in the form of a high-level program into the low-level machine instructions for a quantum device. LIQUi|> is being developed by the quantum architectures and computation Group (QuArC) at Microsoft Research. To aid in the development and understanding of quantum protocols, quantum algorithms, quantum error correction, and quantum devices, QuArC has developed an extensive software platform called LIQUi|>. LIQUi|> allows the simulation of Hamiltonians, quantum circuits, quantum stabilizer circuits, and quantum noise models, and supports client, service, and cloud operation. -
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QX Simulator
Quantum Computing Simulation
The realization of large-scale physical quantum computers appears to be challenging, alongside the efforts to design quantum computers, significant efforts are focusing on the development of useful quantum algorithms. In the absence of a large physical quantum computer, an accurate software simulation of quantum computers on a classical computer is required to simulate the execution of those quantum algorithms and to study the behavior of a quantum computer and improve its design. Besides simulating error-free execution quantum circuits on a perfect quantum computer, the QX simulator can simulate realistic noisy execution using different error models such as the depolarizing noise. The user can activate the error model and define a physical error probability to simulate a specific target quantum computer. This error rate can be defined based on the gate fidelity and the qubit decoherence of the target platform. -
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Quantum Inspire
QuTech
Run your own quantum algorithms on one of our simulators or hardware backends and experience the possibilities of quantum computing. Note that Spin-2 is currently being upgraded and is no longer available. We have multiple simulators and real hardware chips available. Find out what they can do for you. Quantum Inspire is built using first-rate engineering practices. Starting from experimental setups, a layered and modular system was designed to end up with a solid and robust hardware system. This quantum computer consists of a number of layers including quantum chip hardware, classical control electronics, a quantum compiler, and a software front-end with a cloud-accessible web interface. They can act as technology accelerators because only through careful analysis of the individual system layers and their interdependencies it become possible to detect the gaps and necessary next steps in the innovation roadmap and supply chain. -
17
QuEST
QuEST
The Quantum exact simulation toolkit is a high-performance simulator of quantum circuits, state-vectors and density matrices. QuEST uses multithreading, GPU acceleration and distribution to run lightning first on laptops, desktops and networked supercomputers. QuEST just works; it is stand-alone, requires no installation, and is trivial to compile and get running. QuEST has no setup; it can be downloaded, compiled and run in a matter of seconds. QuEST has no external dependencies and compiles natively on Windows, Linux and MacOS. Whether on a laptop, a desktop, a supercomputer, a microcontroller, or in the cloud, you can almost always get QuEST running with only a few terminal commands. -
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Quantum Programming Studio
Quantum Programming Studio
Circuit can be exported to multiple quantum programming languages/frameworks and can be executed on various simulators and quantum computers. You can use simple drag & drop user interface to assemble circuit diagram which automatically translates to code, and vice versa - you can type the code and the diagram is updated accordingly. QPS Client is running on your local machine (or in the cloud) where your quantum programming environment is installed. It opens a secure websocket connection with Quantum Programming Studio server and executes quantum circuits (that you design in the web UI) on your local simulator or on a real quantum computer. -
19
Superstaq
Infleqtion
Superstaq’s low-level, device-specific optimizations enable users to draw the best performance out of today's hardware across multiple qubit modalities. Qiskit and Cirq open source frontends allow users to submit to leading quantum hardware platforms from IBM, Infleqtion, OQC, Rigetti, and more. Leverage our pre-built library of quantum applications to benchmark the performance on otherwise "impossible" problems with quantum hardware. Superstaq's library of sophisticated compilation and noise mitigation techniques, such as dynamical decoupling, automatically optimizes quantum programs based on the target hardware's native gate set. Whether it's Cirq or Qiskit, Superstaq enables you to write quantum programs that target virtually any quantum computer. -
20
IBM Quantum
IBM
Use our suite of applications to support your quantum research and development needs. Copy your API token, track jobs, and view quantum compute resources. Explore service and API documentation to start working with IBM Quantum resources. -
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Rigetti Quantum Cloud Services (QCS)
Rigetti Computing
We make it possible for everyone to think bigger, create faster, and see further. By infusing AI and machine learning, our quantum solutions give you the power to solve the world’s most important and pressing problems. Thermodynamics sparked the Industrial revolution. Electromagnetism ushered in the information age, now, quantum computers are harnessing the unique information processing capability of quantum mechanics to exponentially reduce the time and energy needed for high-impact computing. With the first paradigm-shifting advance since the integrated circuit, quantum computing is poised to transform every global market. The gap between first movers and fast followers will be difficult to overcome. -
22
Google Cirq
Google
Cirq is a Python software library for writing, manipulating, and optimizing quantum circuits, and then running them on quantum computers and quantum simulators. Cirq provides useful abstractions for dealing with today’s noisy intermediate-scale quantum computers, where details of the hardware are vital to achieving state-of-the-art results. Cirq comes with built-in simulators, both for wave functions and for density matrices. These can handle noisy quantum channels using monte carlo or full density matrix simulations. In addition, Cirq works with a state-of-the-art wavefunction simulator: qsim. These simulators can be used to mock quantum hardware with the quantum virtual machine. Cirq is used to run experiments on Google's quantum processors. Learn more about the latest experiments and access the code to se how to run them yourself. -
23
Qiskit
IBM
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. Users can transpile with Qiskit's default optimization, use a custom configuration or develop their own plugin. Qiskit helps users schedule and run quantum programs on a variety of local simulators and cloud-based quantum processors. It supports several quantum hardware designs, such as superconducting qubits and trapped ions. Ready to explore Qiskit’s capabilities for yourself? Learn how to run Qiskit in the cloud or your local Python environment. -
24
Quandela
Quandela
Quandela Cloud offers a wide range of functionalities. First, intensive documentation is available to walk you through Perceval, our photonic quantum computing framework. Perceval's programming language is Python, thus coding on Quandela’s QPUs is seamless. Moreover, you can leverage a wide range of unique algorithms already implemented (resolving PDEs, clustering data, generating certified random numbers, solving logistical problems, computing properties of molecules, and much more). Then, the status and specifications of Quandela’s QPUs are displayed. You can choose the appropriate one, run your job and check its evolution on the job monitoring interface. -
25
Q-CTRL
Q-CTRL
Infrastructure software to power the quantum future. Quantum technology promises to transform the economy. We expand the utility of quantum computers and deliver new quantum sensing capabilities, all through software. Quantum infrastructure software transforms bare-metal quantum processors into useful computational tools. Our technology unleashes the hidden performance inside of the most powerful computers so you can achieve more. Add automation and performance management to my QC platform. Professional-grade toolkits to design, automate, and scale quantum hardware and controls. Unleash latent hardware performance with fully integrated performance management for cloud quantum computing platforms. Automatically reduce error and boost algorithmic success on cloud-accessible quantum computers. Professional-grade toolkits to design, automate, and scale quantum hardware and controls. -
26
Quantinuum Nexus
Quantinuum
Quantinuum Nexus is a cloud-based platform that enables users to seamlessly run, review, and collaborate on quantum computing projects. It integrates support for various quantum hardware providers using the pytket quantum programming tools to optimize circuit performance and translation between different backends. Key features include a single, cloud-based interface for multiple quantum backends; preinstalled and dedicated simulators, including our emulator; a hosted and preconfigured JupyterHub environment; automated storage of circuits, compilation passes, and results; and secure sharing of data with team members. Nexus also stores everything you need to recreate your experiment in one place, meaning a full snapshot of the backend, the settings and variables you used, and more. Combined with easy data sharing and storage, you can stop worrying about the logistics of data management. -
27
QSimulate
QSimulate
QSimulate offers a suite of quantum simulation platforms that leverage quantum mechanics to solve complex, industrial-scale problems in life sciences and materials science. The QSP Life platform provides unique quantum-powered methods for drug discovery and optimization, enabling first-of-a-kind quantum simulations of ligand-protein interactions applicable throughout the computational drug discovery process. The QUELO platform performs hybrid quantum/classical free energy calculations, offering users the ability to run relative free energy calculations using the free energy perturbation (FEP) approach. Additionally, QSimulate's technology enables groundbreaking advances in quantum mechanics/molecular mechanics (QM/MM) simulations for large protein modeling. For materials science, the QSP Materials platform democratizes quantum mechanical simulations, allowing experimentalists to automate complex workflows without the need for specialization. -
28
QpiAI
QpiAI
QpiAI Pro is a no-code AutoML and MLOps platform designed to empower AI development with generative AI tools for automated data annotation, foundation model tuning, and scalable deployment. It offers flexible deployment solutions tailored to meet unique enterprise needs, including cloud VPC deployment within enterprise VPC on the public cloud, managed service on public cloud with integrated QpiAI serverless billing infrastructure, and enterprise data center deployment for complete control over security and compliance. These options enhance operational efficiency and provide end-to-end access to platform functionalities. QpiAI Pro is part of QpiAI's suite of products that integrate AI and quantum technologies in enterprise solutions, aiming to solve complex scientific and business problems across various industries. -
29
Cellframe
Cellframe
Cellframe Network is a scalable open-source next generation platform for building and bridging blockchains and services secured by post-quantum encryption. We offer a stage for enterprises and developers for building a vast array of products ranging from simple low-level t-dApps to whole other blockchains on top of Cellframe Network. We believe that the next paradigm for blockchain technology is mass adoption and our platform strives to expand the use cases associated with blockchain technology. Cellframe can provide extremely high transaction throughput based on the original sharding implementation. In addition, Post-quantum cryptography makes the system resistant to hacking by quantum computers, which are not far off. Based on the original sharding implementation, Cellframe can provide extremely high transaction throughput. -
30
Bayesforge
Quantum Programming Studio
Bayesforge™ is a Linux machine image that curates the very best open source software for the data scientist who needs advanced analytical tools, as well as for quantum computing and computational mathematics practitioners who seek to work with one of the major QC frameworks. The image combines common machine learning frameworks, such as PyTorch and TensorFlow, with open source software from D-Wave, Rigetti as well as the IBM Quantum Experience and Google's new quantum computing language Cirq, as well as other advanced QC frameworks. For instance our quantum fog modeling framework, and our quantum compiler Qubiter which can cross-compile to all major architectures. All software is made accessible through the Jupyter WebUI which, due to its modular architecture, allows the user to code in Python, R, and Octave.
