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QUICHE Project: UK–Germany Consortium to Integrate Quantum Workflows into ORCA Software - Quantum Computing Report

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⚡ Quantum Brief
A UK-Germany consortium launched the QUICHE project to integrate quantum workflows into ORCA, the quantum chemistry software used by 100,000+ researchers, bridging classical and quantum computing for materials science. Funded by Innovate UK and Germany’s ZIM program, the collaboration includes Quantum Motion (silicon-spin hardware), FACCTs (ORCA developers), and Riverlane (error correction) to automate quantum circuit generation from chemical data. The project targets electronic structure calculations for solar cells and batteries, optimizing circuits for early fault-tolerant hardware by reducing depth and refining gate sequences. ORCA’s frontend will now auto-convert chemical inputs into quantum-ready pipelines, eliminating the need for users to master quantum programming or hardware specifics. Two backends support the transition: QuEST for classical simulation and a resource estimator to calculate qubit/runtime needs for industrially relevant quantum chemistry problems.
QUICHE Project: UK–Germany Consortium to Integrate Quantum Workflows into ORCA Software - Quantum Computing Report

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QUICHE Project: UK–Germany Consortium to Integrate Quantum Workflows into ORCA Software The Quantum Integrated Chemistry (QUICHE) project is a bilateral partnership between the UK and Germany, funded by Innovate UK and the German ZIM programme. The consortium brings together Quantum Motion (silicon-spin hardware and algorithm development), FACCTs (developers of the ORCA quantum chemistry software), and Riverlane (quantum error correction). The primary objective is to establish a practical, end-to-end workflow that allows researchers to execute quantum-ready calculations directly within the ORCA platform, which is currently used by over 100,000 scientists for molecular and materials simulation. Technically, QUICHE focuses on the automated translation of high-level chemical systems into optimized quantum circuits. The project specifically targets electronic structure calculations for materials used in solar cells and batteries. By utilizing advanced decomposition and compilation techniques, the team aims to minimize circuit depth and optimize gate sequences for compatibility with early fault-tolerant hardware. The ORCA frontend is being extended to automatically pass chemical data into this quantum pipeline, enabling chemists to utilize quantum-informed methods without requiring deep expertise in quantum algorithm design or hardware-specific programming. The project will deploy two specialized backends to facilitate the transition from classical to quantum computing. The first utilizes the QuEST ecosystem, supported by Quantum Motion, to provide high-performance classical simulation for algorithm testing and benchmarking. The second is a dedicated resource estimation backend that calculates the precise qubit counts and runtimes required to solve classically intractable industrial problems. These backends are intended to provide organizations with technical data to inform their long-term investment strategies and determine the feasibility of various quantum chemistry applications on upcoming hardware generations. Read the official announcement from Quantum Motion here. February 5, 2026 Mohamed Abdel-Kareem2026-02-05T17:00:26-08:00 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