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detection, watermark attribution, and robustness evaluation. Excellent computing and audio research infrastructure, including CPU/GPU clusters, access to CSC and LUMI, FIN-CLARIN resources, and the Aalto
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research infrastructure, including Aalto’s CPU/GPU clusters, CSC and LUMI, FIN-CLARIN language resources, and the Aalto Acoustics Lab. An international collaboration network with leading researchers and
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demanding problems. Methods will be designed for near‑term (NISQ‑era) deployment, with models evaluated for expressivity, training stability, scalability, and resource requirements on representative problem
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, scalability, and resource requirements on representative problem sizes, and systematically benchmarked against fully classical baselines. In parallel, medium‑ to long‑term quantum algorithms will be explored
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will be designed for near‑term (NISQ‑era) deployment, with models evaluated for expressivity, training stability, scalability, and resource requirements on representative problem sizes, and
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models evaluated for expressivity, training stability, scalability, and resource requirements on representative problem sizes, and systematically benchmarked against fully classical baselines. In parallel