Microsoft Azure Quantum

Microsoft Azure Quantum is a public cloud-based quantum computing platform developed by Microsoft to support the development, testing, and execution of quantum applications. The platform brings together quantum hardware, software, and cloud services, allowing researchers and developers to access different quantum systems through a single environment.

Azure Quantum supports several quantum hardware architectures from leading partners, including Quantinuum, IonQ, and Atom Computing. To program and run quantum workloads on the platform, Microsoft developed Q#, along with an open-source development kit and simulators. Azure Quantum also includes a Resource Estimator that helps users calculate the requirements for running algorithms on future fault-tolerant quantum computers.

The platform was first announced at Microsoft Ignite in 2019 and entered public preview in 2021. In 2023, Microsoft launched Azure Quantum Elements, which combines quantum tools with artificial intelligence (AI) and high-performance computing (HPC) to support research in chemistry, materials science, energy, and pharmaceuticals.

On the hardware side, Microsoft is pursuing a long-term strategy based on topological quantum computing. This approach uses Majorana quasiparticles to create qubits that are more resistant to errors. In 2023 and 2025, Microsoft reported major milestones, including evidence of controlled Majorana states and the creation of Majorana 1, the first quantum chip built on a topological core architecture. The work also introduced topoconductors, a new class of materials designed to support hardware-protected qubits.

Microsoft has also demonstrated qubit virtualisation across multiple hardware platforms, achieving record numbers of logical qubits and showing active error detection and correction. These results include neutral-atom systems, trapped-ion systems, and long-distance quantum entanglement experiments.

Azure Quantum Elements has delivered practical research outcomes by combining AI, HPC, and quantum computing. Projects include large-scale materials discovery for batteries, generative chemistry tools, faster molecular simulations, and early demonstrations of hybrid AI-quantum-HPC workflows for real chemistry problems. The platform has also been integrated into drug discovery pipelines, linking quantum computing with laboratory automation and biological data.

Microsoft Azure Quantum is closely linked to Microsoft’s long-term research in quantum computing, which began many years before the platform itself was created. Microsoft started formal work in quantum computing in the early 2000s, with a focus on building systems that could scale and operate with low error rates. From the beginning, the company invested in both software and hardware research, including an early decision to explore topological quantum computing, a model based on using special physical states that could make qubits more stable.

During the 2000s and 2010s, Microsoft built a strong internal research team working on quantum algorithms, error correction, programming models, and hardware concepts. One of the major outcomes of this period was the creation of Q#, a quantum programming language designed to let developers express quantum algorithms clearly while separating classical and quantum logic. Q# became part of Microsoft’s Quantum Development Kit, which allowed users to simulate quantum programs and prepare for real hardware execution.

In 2019, Microsoft formally announced Azure Quantum at the Microsoft Ignite conference. The goal was to make quantum computing available through the Azure cloud in a way similar to classical computing services. Azure Quantum was designed as a hardware-agnostic platform, meaning users could access different quantum systems through a single interface. This included partnerships with quantum hardware companies using trapped-ion, neutral-atom, and other approaches. The platform aimed to support developers, researchers, and businesses without requiring them to own quantum hardware.

In 2021, Azure Quantum entered public preview. Users were able to submit quantum jobs to partner hardware, run simulations, and use development tools within the Azure environment. Microsoft continued to expand the software stack by introducing tools such as the Azure Quantum Resource Estimator, which helps users understand the scale and error correction requirements of quantum algorithms intended for fault-tolerant systems. Microsoft also worked on Quantum Intermediate Representation (QIR), based on LLVM, to provide a common interface between programming languages and quantum processors.

Alongside the cloud platform, Microsoft continued deep hardware research. The company pursued topological qubits based on Majorana quasiparticles, which are expected to offer improved error resistance. In 2023, Microsoft reported experimental results consistent with the creation and control of Majorana states, an important step in this approach. In parallel, Microsoft developed qubit virtualisation techniques that use error correction and software control to create logical qubits that are more reliable than physical qubits. These methods were applied to hardware from partners such as Quantinuum and Atom Computing, leading to record demonstrations of logical qubits and active error correction.

In 2023, Microsoft launched Azure Quantum Elements, a platform focused on scientific research. This platform combined quantum computing with artificial intelligence and high-performance computing to support work in chemistry, materials science, energy, and pharmaceuticals. Azure Quantum Elements introduced tools for molecular simulation, generative chemistry, and accelerated density functional theory, and integrated AI assistants to help researchers work with complex data and simulations.

In 2024 and 2025, Microsoft demonstrated hybrid workflows that combined AI, classical HPC, and logical qubits to address real scientific problems, including materials discovery and chemistry use cases. In 2025, Microsoft announced Majorana 1, a quantum chip based on a topological core architecture and new materials called topoconductors. This marked a key milestone in its long-term plan for fault-tolerant quantum computers.

Azure Quantum operates as a unified cloud platform offering access to quantum hardware, development tools, simulation, and scientific research services. Microsoft continues to develop both near-term hybrid solutions and long-term topological quantum systems, positioning Azure Quantum as a central part of its strategy to move quantum computing from research toward practical use.

The mission of Microsoft Azure Quantum is to make quantum computing practical and accessible through the cloud. The platform aims to bring together quantum hardware, software, and cloud services so that researchers, developers, and organisations can experiment, learn, and build solutions without owning complex hardware. Azure Quantum focuses on supporting different quantum technologies, developing reliable logical qubits, and combining quantum computing with classical computing, artificial intelligence, and high-performance computing. Its mission is to help science and industry solve complex problems in areas such as chemistry, materials science, energy, and computing by steadily moving quantum technology from research into real use.

The vision of Azure Quantum is to enable large-scale, reliable quantum computing that can work alongside classical and AI systems to address problems that are not possible to solve today. Microsoft’s long-term vision is to build fault-tolerant quantum computers using topological qubits while also delivering useful results in the near term through hybrid cloud solutions. Azure Quantum aims to become a central global platform where quantum research, development, and real-world applications can grow together. The vision is focused on steady progress, open collaboration with partners, and using quantum technology responsibly to support scientific discovery, industry innovation, and long-term societal benefit.

Azure Quantum and Microsoft’s quantum research have received wide recognition within the scientific and technology communities. Microsoft’s work on topological qubits and Majorana states has been published in leading peer-reviewed journals and acknowledged by academic institutions worldwide. 

Azure Quantum has been recognised as one of the first major cloud platforms to offer access to multiple quantum hardware providers in a single environment. Its demonstrations of record-setting logical qubits, error correction, and hybrid AI-quantum workflows have been highlighted across global technology media and research conferences. Azure Quantum Elements has also been recognised for advancing materials science and chemistry through large-scale AI and quantum-enabled research.

Microsoft Azure Quantum offers a wide range of products and services designed to support quantum computing, scientific research, and advanced problem solving through the cloud. The platform is built to work as an end-to-end ecosystem, combining quantum hardware access, software development tools, simulation, and hybrid solutions that integrate classical computing, artificial intelligence (AI), and high-performance computing (HPC).

At the core of Azure Quantum is its cloud-based quantum computing service, which allows users to access real quantum hardware from different technology providers through a single Azure interface. Instead of building or maintaining quantum machines, users can submit jobs to quantum processors operated by Microsoft’s partners, including trapped-ion and neutral-atom systems. This hardware-agnostic approach enables developers and researchers to experiment with multiple quantum architectures and compare results using the same cloud environment.

A key product within the platform is Q# (Q Sharp), Microsoft’s quantum programming language. Q# is designed to help developers write quantum algorithms in a structured and clear way, while managing quantum operations, measurements, and error handling. It works alongside classical programming languages and integrates with existing development tools. Q# is supported by the Quantum Development Kit, which includes libraries, documentation, and simulators that allow users to test quantum programs even without access to physical hardware.

Azure Quantum also provides quantum simulators, which are essential for learning, testing, and debugging quantum algorithms. These simulators allow users to model quantum behaviour on classical computers, helping them understand algorithm performance and logic before running jobs on real quantum processors. This reduces cost and complexity, especially for early-stage research and education.

Another important service is the Azure Quantum Resource Estimator. This tool helps users estimate how many qubits, gates, and error correction resources are needed to run a quantum algorithm on a future fault-tolerant quantum computer. It is widely used in research and industry planning, as it allows organisations to understand the scale and feasibility of quantum solutions well before large quantum machines are available.

Azure Quantum also supports Quantum Intermediate Representation (QIR), a common interface based on LLVM. QIR acts as a bridge between quantum programming languages and different hardware back ends. This service improves portability and interoperability, making it easier to run the same quantum program across different quantum systems and future platforms.

A major extension of the platform is Azure Quantum Elements, which focuses on scientific and industrial research. Azure Quantum Elements combines quantum computing with AI and HPC to support fields such as chemistry, materials science, energy, and pharmaceuticals. It includes tools for molecular simulation, materials screening, and chemical modelling, allowing researchers to study complex systems that are difficult to analyse using classical methods alone.

Within Azure Quantum Elements, Microsoft offers Generative Chemistry tools, which use AI models to design and explore new molecules for specific applications. The platform also provides Accelerated Density Functional Theory (DFT) tools, enabling faster simulation of electronic structures in molecules and materials. These services help reduce research time in areas such as battery development, catalysis, and drug discovery.

Azure Quantum Elements also integrates AI assistants, including Copilot features, to help users query data, write simulation code, and manage workflows. By combining AI, classical HPC, and quantum methods, the platform supports hybrid research approaches that reflect how quantum computing is expected to be used in real-world scenarios.