PhD student David Layden in the Quantum Engineering Group has a new approach to spatial noise filtering that boosts development of ultra-sensitive quantum sensors.
New research from MIT’s interdisciplinary Quantum Engineering Group (QEG) is addressing one of the fundamental challenges facing these quantum sensor systems: removing environmental noise from the signal being measured.
“The usual way of looking at error correction, for quantum computing, was to cast as wide a net as possible to correct as much as you could,” says Layden. “In sensing applications, you instead want a very carefully shaped hole in your net to let through the specific signal you’re looking for. In effect, we’re adapting existing signal processing techniques for use in quantum devices. What’s surprising is how seamlessly these apparently unrelated ideas from quantum computing and signal processing fit together.”