Researchers from the IT4Innovations National Supercomputing Center at VSB – Technical University of Ostrava have launched a three-year research project to develop a new adaptive quantum error correction (QEC) system for solving optimization problems. The project is funded by a grant of nearly CZK 4.7 million ($229K USD) from the Moravian-Silesian Region’s Vouchers for Universities programme.
The research leverages reinforcement learning, an artificial intelligence method that will function as an intelligent agent to independently design optimal topological quantum codes tailored to specific tasks and noise conditions. The system will adapt to the architecture of a quantum computer, such as the VLQ superconducting quantum computer installed at IT4Innovations. The research focuses on solving optimization problems using the Ising model, which forms the mathematical basis for many problems in industry. These problems can be solved using quantum algorithms, such as the Quantum Approximate Optimization Algorithm (QAOA).
The project is intended to make quantum computing more accurate and reliable for practical applications without the need for frequent repetition of demanding experiments. It aims to advance research into quantum algorithms and bring quantum computing closer to practical application. The project, led by Marek Lampart, Head of the Quantum Computing Lab at IT4Innovations, will be implemented between 2025 and 2028.
Read the full announcement here and here.
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