Interleaving multiple sensing operations with quantum computing operations lets small quantum sensors beat conventional quantum sensors on nonlinear classification tasks, even with a single measurement shot.
The dataset is a time- varying, 306-channel magnetoencephalography (MEG) signal, along with a 3-axis accelerometer signals
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Quantum computational sensing using quantum signal processing, quantum neural networks, and Hamiltonian engineering
Interleaving multiple sensing operations with quantum computing operations lets small quantum sensors beat conventional quantum sensors on nonlinear classification tasks, even with a single measurement shot.