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Microsoft Releases Open-Source Quantum Development Tools for Error Correction and Chemistry - Quantum Computing Report

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⚡ Quantum Brief
Microsoft released an updated open-source Quantum Development Kit (QDK) in January 2026, integrating AI-assisted coding via GitHub Copilot and VS Code to simplify fault-tolerant quantum application development. The QDK supports cross-framework interoperability with Q#, OpenQASM, Qiskit, and Cirq, enabling seamless transitions between local simulations and Azure cloud execution for broader accessibility. A new QDK for Chemistry module uses classical preprocessing and "chemistry-aware" algorithms to drastically reduce quantum circuit complexity, cutting gate counts from thousands to single digits for molecular modeling tasks. The update introduces a qubit-virtualization system with a quantum operating system on Azure, co-developed with Atom Computing for their neutral-atom Magne system, with benchmarks to be unveiled January 26 in Copenhagen. Open-source error correction tools in the QDK allow custom encoding/decoding strategies, with full suite availability expected by late 2026 as Microsoft expands its quantum reliability research capabilities.
Microsoft Releases Open-Source Quantum Development Tools for Error Correction and Chemistry - Quantum Computing Report

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Microsoft Releases Open-Source Quantum Development Tools for Error Correction and Chemistry Microsoft has released an updated, open-source Quantum Development Kit (QDK) designed to streamline the creation of fault-tolerant applications. Integrated with VS Code and GitHub Copilot, the kit focuses on abstracting complex quantum tasks through AI-assisted coding and modular domain libraries. The release emphasizes interoperability, supporting major frameworks including Q#, OpenQASM, Qiskit, and Cirq, allowing developers to transition between local simulation and cloud-based execution on Azure. A primary technical focus of the new release is the QDK for Chemistry, developed to optimize molecular modeling for near-term hardware. The toolkit utilizes classical preprocessing and “chemistry-aware” algorithms to reduce problem sizes before they reach the quantum processor. Microsoft reports that these methods can significantly reduce circuit depth, in some cases shrinking gate counts from thousands to single digits for specific problems. The toolkit includes automated pipelines for Hamiltonian generation and active space selection, integrated molecular visualization, and support for WSL and Docker to ensure environment portability. The update also advances Microsoft’s qubit-virtualization system, which acts as a middleware layer to generate reliable logical qubits from physical hardware. This system includes a new quantum operating system designed to manage, control, and monitor hardware resources via Azure. By applying this virtualization layer to Atom Computing’s neutral-atom qubits, Microsoft is co-developing the Magne system. Technical specifications and performance benchmarks for Magne are scheduled for release on January 26, 2026, during an event in Copenhagen hosted by the Nordic quantum initiative, QuNorth. For research in system reliability, the QDK for Error Correction provides open-source modules for characterizing, validating, and debugging encoded quantum programs. These tools allow researchers to design and test custom encoding and decoding strategies tailored to specific hardware runtimes. While initial modules are available now, Microsoft plans to release additional tooling packages throughout the year, with full availability of the error correction suite expected by late 2026. Read the official technical blog by Dr. Matthias Troyer here. January 22, 2026 Mohamed Abdel-Kareem2026-01-22T09:34:27-08:00 Leave A Comment Cancel replyComment Δ This site uses Akismet to reduce spam. Learn how your comment data is processed.

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Source: Google News – Quantum Computing