During the recent 14th International Conference on Metamaterials, Photonic Crystals, and Plasmonics (META 2024) in Toyama, Japan, Professor Sergey Savel'ev and Dr. Alexandre Zagoskin of #LoughboroughUniversity co-organised a special session on "Quantum Metamaterials for Artificial Intelligence".
The session focused on integrating quantum metamaterials with quantum neural networks and sensors. By exploring quantum analogues to classical circuit elements and quantum reservoir computing, it provided valuable insights into how quantum metamaterials can be leveraged for advanced AI applications. The emphasis on quantum metamaterials theory highlighted its potential to create macroscopic quantum coherent structures for innovative technological advancements. 🌐🧠
Key highlights included several invited talks. Viktor Ivády from #EötvösLorándUniversity (ELTE), Hungary 🇭🇺, presented "Point Defect-Based Material Solutions for Quantum Sensing and Quantum Reservoir Computing." His talk explored the versatile applications of controllable electron and nuclear spin states in point defects, underscoring their potential in quantum sensing and computation.
Additionally, Patrick Navez, Alexander Balanov, Sergey Savel'ev, and Alexandre Zagoskin presented “Coherent Array of Superconducting Qubits as a Sensitive Microwave Antenna.” Their research demonstrated that artificial quantum coherent structures, specifically an array of qubits in a resonator, can serve as highly sensitive microwave radiation antennas. Remarkably, under certain conditions, the signal-to-noise ratio can surpass the Standard Quantum Limit and approach the Heisenberg limit of sensitivity. 📡🔬
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