Qbrain develops an AI-based middleware to optimize and speed up quantum computation to allow industrial users to compute harder problems faster. The use of quantum computation is limited by currently available hardware, making it difficult for companies to exploit quantum computing (QC) applications in the near term. Qbrain’s solution is hardware agnostic, leveraging deep learning techniques to optimize qubit control, compilation, embedding, and error mitigation. This significantly reduces resource requirements on available QC hardware with tested improvements of up to 100x speed-up in runtime and 10% increased fidelity.