{"id":168339,"date":"2025-01-09T16:12:13","date_gmt":"2025-01-09T15:12:13","guid":{"rendered":"https:\/\/eurecat.org\/?post_type=avada_portfolio&p=168339"},"modified":"2025-01-09T16:13:12","modified_gmt":"2025-01-09T15:13:12","slug":"qia","status":"publish","type":"avada_portfolio","link":"https:\/\/eurecat.org\/en\/portfolio-items\/qia\/","title":{"rendered":"QIA"},"content":{"rendered":"

\"QIA<\/p>\n<\/div>

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Empowering quantum computing with artificial intelligence (AI).<\/strong><\/p>\n

QIA<\/strong> develops AI-based tools aimed at optimising quantum algorithms<\/strong> and addressing hardware limitations associated with quantum computing.<\/p>\n

Specifically, the project optimises computational resources for algorithms based on gates and tensor networks<\/strong>, with the help of AI to improve the execution of these algorithms through metrics and reduce operations necessary for their implementation.<\/p>\n

AI-based tools are also developed for the design, control and mitigation of errors in quantum devices based on superconducting technology, especially in flux kubits.<\/p>\n

Finally, an important part of the project is dedicated to the research of quantum AI algorithms, with special attention to Quantum Boltzmann Machines due to their adaptability to analogue hardware.<\/p>\n

QIA is led by the company Qilimanjaro<\/a>, with the participation of the Barcelona Supercomputing Center<\/a> and Eurecat. On the part of the technology center, the Audiovisual Technologies<\/a> Unit develops quantum machine learning algorithms applied to vision problems such as multiclass image classification, while the Applied Artificial Intelligence<\/a> Unit creates reinforcement learning methods to optimise quantum circuits and calibrate quantum chips.<\/p>\n<\/div>

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General details<\/h3><\/span>
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Project<\/strong><\/p>\n

QIA \u2013 Empowering Quantum Computing with Artificial Intelligence<\/p>\n

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Project reference<\/strong><\/p>\n

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CPP2023-010459<\/p>\n<\/div>\n<\/div>

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Programme and call for tender<\/strong><\/p>\n

Project funded by the Ministry of Science, Innovation and Universities through the call for public-private collaboration projects of the State Plan for Scientific, Technical and Innovation Research 2021-2023<\/p>\n

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Related ODS<\/strong><\/p>\n

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<\/i><\/i><\/span>9. Industry, innovation and infrastructure<\/span><\/a><\/h4><\/div>
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Development of AI-based tools and optimisation of quantum algorithms, advancing cutting-edge technologies such as quantum computing and AI. This fosters innovation and positions participating industries as leaders in emerging technologies.<\/p>\n

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