Learning from Radio using Variational Quantum RF Sensing
In modern wireless networks, radio channels serve a dual role. Whilst their primary function is to carry bits of information from a transmitter to a receiver, the intrinsic sensitivity of transmitted signals to the physical structure of the environment makes the channel a powerful source of knowledge about the world. In this paper, we consider an agent that learns about its environment using a quantum sensing probe, optimised using a quantum circuit, which interacts with the radio-frequency (RF) electromagnetic field. We use data obtained from a ray-tracer to train the quantum circuit and learning model and we provide extensive experiments under realistic conditions on a localisation task...
| Authors | Ivana Nikoloska |
|---|---|
| Primary category | quant-ph |
| Published | 10 March 2026 |
| Last updated at source | 10 March 2026 |
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