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This research applies neuroscience principles regarding criticality to enhance the accuracy and energy efficiency of superconducting quantum sensors. By leveraging insights from brain computation, the project aims to overcome current limitations in sensor technology for applications like medical diagnostics. The initiative represents a significant cross-disciplinary effort to optimize quantum hardware through biological analogies.
Arts & Sciences find brain’s ‘tipping point’ may boost quantum sensor accuracy
Keith Hengen, an associate professor of biology in WashU Arts & Sciences, is applying research on the brain’s computational power to develop quantum sensors for next-generation computing. The project, “Superconducting Polychronous Computation Near Criticality,” received $750,000 from the U.S. Department of Energy to explore how balancing a system at the “tipping point between order and chaos” may increase sensor accuracy and reduce energy consumption.
Keith Hengen of WashU Arts & Sciences and Whitney Armstrong at Argonne National Laboratory will co-lead research into maximizing quantum sensor accuracy with…
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