Quantum artificial intelligence with neutral atoms.
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Value
$1,850,386
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Prompt Contribution
$844,132
The current challenge in quantum science is to develop algorithms to exploit quantum computers to advance AI. This project aims to overcome the limitations of quantum computing in processing complex AI tasks. We will study the flow of information using neutral atoms to create algorithms for AI tasks beyond traditional computers and validate them with high-performance simulations.
The aims are to understand the flow of information in quantum computers based on neutral atoms, develop algorithms for complex AI tasks, and validate these algorithms with high-performance classical simulations.
Expected results: new principles for understanding networks of neutral atoms, techniques for machine learning and intelligent system design, and tests demonstrating the advantages of quantum computing.
Quebec saw investment in AI increase its GDP by 1.9MM and generate 400M between 2017 and 2021, and quantum science is well supported here by a complete ecosystem. The investment of 100M over seven years makes Quebec an ideal location for quantum technology, which is expected to generate 27MM in revenues and create 45000 jobs by 2040. The integration of AI and quantum technologies puts Quebec in a unique position to become the leader in quantum AI.
The project will help Pasqal identify beneficial applications for neutral atom quantum computers and suggest hardware improvements.
Organisation (s)
