Microsoft and Atom Computing apply state-of-the-art error correction to high-quality physical qubits to enable
reliable quantum computation. This collaboration accelerates quantum advantage - enabling customers to run
algorithms on logical qubits, improve AI training data, and build a skilled quantum workforce to solve complex
problems with greater accuracy.
More than a quantum computer
The world's first 50 logical-qubit commercial offering
Built together by Microsoft and Atom Computing, this commercial offering is the first end-to-end Level 2
quantum platform integrated with Microsoft Discovery.
You'll get hardware, middleware, hybrid quantum-classical development tools, lower-level development tools, AI
agents, system governance and management, and cloud connectivity.
Powerful tools for developers
of quantum applications
The Quantum Development Kit (QDK) includes simulators, a resource estimator, and inline debugging. Integrated
with VS Code and GitHub, the QDK includes powerful agentic Copilot support to help you learn and write quantum
code faster than ever before.
Support for quantum workloads with precision and resilience
Microsoft's quantum operating system manages and runs Atom Computing's hardware via our universal quantum
engine and qubit-virtualization system for error correction.
Access online tutorials, documentation, and examples to learn the fundamentals of quantum computing at an
individualized pace. Gain skills to design and optimize quantum algorithms.
Reliable quantum computing can transform industries
Read about two practical-application scenarios and the people leading the search for solutions
Developing more resilient agriculture
Creating safer products with green chemistry
Quantum could help farmers develop more resilient and profitable agricultural practices
Quantum computing could advance our understanding of the fundamental chemical reactions that occur in
the soil and have direct impacts on agriculture. By accurately simulating the reactions underlying
complex processes such as nitrification, quantum computing may help farmers minimize their use of
nitrogen fertilizers to reduce costs, protect water quality, improve soil health, and reduce emissions.
Julia and Troy Strnad are farmers in Kansas who work with Indigo
to earn
money by adopting sustainable farming practices such as improved nitrogen management. Accomplishing
this feat involves the application of data, products, and practices that minimize the use of
chemical nitrogen without sacrificing crop yield, and then using biogeochemical models to quantify
the environmental benefits achieved.
By increasing the accuracy of reaction modeling, quantum computing could help companies like Indigo
Ag design better models for complex processes to improve outcomes for farmers while making
agriculture more sustainable.
Quantum could improve the ability of AI models to predict molecular properties
By generating highly accurate data, quantum computing has the potential to enable AI models to better
predict molecular properties, thus accelerating the design and production of sustainable, high-performance
consumer goods.
Patrick Foley, co-founder of P2 Science, has
dedicated his career to unlocking that one extra dimension of understanding, to learn how to mimic the way
nature's chemistry operates. Patrick and the other scientists at P2 are developing AI models to design
molecules that meet multiple criteria, such as being biodegradable and plant-based, which are
characteristics that align with their mission of developing high-performance ingredients powered by green
chemistry.
By incorporating reliable quantum computing, companies like P2 could enhance and accelerate their research
and development, allowing them to reach their goals faster.