Quantinuum has announced InQuanto v4.0, the latest version of its quantum computational chemistry platform, introducing native GPU support through integration with NVIDIA’s cuQuantum SDK. This upgrade enhances the platform’s ability to simulate complex chemical systems by leveraging GPU-powered tensor network methods, paving the way for hybrid quantum-classical “supercomputing” in computational chemistry.
InQuanto supports researchers tackling “strongly correlated” systems, critical for applications such as high-temperature superconductors, advanced batteries, and smart materials. Collaborations with industry leaders like BMW Group, Airbus, and Honeywell showcase its capability to integrate quantum algorithms with high-performance computing (HPC) and AI for benchmarking and pre-/post-processing tasks.
Key features of v4.0 include quantum error detection protocols, integration with Quantinuum Nexus for hybrid workflow management, and compatibility with Microsoft Azure Quantum Elements (AQE). This end-to-end integration allows seamless workflows combining AI, HPC, and quantum computing. Early demonstrations on logical qubits highlight the platform’s potential to deliver scalable and accurate results for catalysis and material science.
As part of Quantinuum’s roadmap toward quantum advantage by 2029, InQuanto aims to unlock transformative innovations in energy, agriculture, and medicine by merging quantum, HPC, and AI capabilities.
For more details, explore InQuanto and its integration options here and access the Quantinuum’s blogs here and here, and a brochure for the product here.
November 22, 2024
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