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AI for Quantum Sensors

As quantum sensors are developed, and provide ever-larger volumes of information, we will need to harness artificial intelligence (AI) to help us to understand and interpret their output. The use of individual photons will provide significantly more information. Deep learning is likely to be needed to separate signals from noise. Precision medicine is more likely to use supervised learning, and merge individual data with sensor data.

New instruments will include quantum microscopes, superconducting quantum interference magnetoencephalography (MEG), and single-photon computed tomography (CT). We will also see the development of new computers that are significantly more energy-efficient.

Contact – Researchers

Magnus Boman