On 29 October, MPL hosted “MQV-Einblicke – Quantenwissenschaften vor Ort erleben,” an event series where visitors learned how researchers are using artificial intelligence to bolster the reliability of quantum computers. Professor Florian Marquardt, director of MPL, explained the principles enabling quantum computing while acknowledging the susceptibility of quantum states to errors, a challenge his division is addressing with neural networks. The event also demonstrated how quantum physics safeguards data, even against the potential of future powerful computers.
AI-Trained Neural Networks Enhance Quantum Computer Control
Neural networks are now being employed to refine the control of quantum computers, addressing the inherent susceptibility of fragile quantum states to errors. Professor Florian Marquardt, director of MPL and head of its Theory Division, detailed how his division uses these AI systems to more precisely manipulate qubits, a critical step toward reliable quantum computation. This approach tackles the challenge of maintaining quantum coherence, a key requirement for executing complex algorithms efficiently.
Just days before the event, a test network for quantum communication linking Bavaria, Thuringia, and Berlin was officially activated. Professor Christoph Marquardt presented quantum key distribution, a method that uses quantum physics to generate secure cryptographic keys. This technology promises long-term data security, even against the potential decryption capabilities of future quantum computers. Visitors to Dr. Pascal Del’Haye’s group observed how photonic chips use quantum light to transmit and store data.
Researchers in Prof. Maria Chekhova’s “Quantum Radiation” research group demonstrated the production of entangled photons using metasurfaces, a technique that could lead to highly precise quantum states. Prof. Birgit Stiller’s lab presented the interplay of light and sound, exploring its application in both quantum technologies and neuromorphic computing., Bavaria says.
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