<?xml version="1.0" encoding="UTF-8"?><ns2:project xmlns:ns1="http://gtr.rcuk.ac.uk/gtr/api" xmlns:ns2="http://gtr.rcuk.ac.uk/gtr/api/project" xmlns:ns3="http://gtr.rcuk.ac.uk/gtr/api/fund" xmlns:ns4="http://gtr.rcuk.ac.uk/gtr/api/person" xmlns:ns5="http://gtr.rcuk.ac.uk/gtr/api/project/outcome" xmlns:ns6="http://gtr.rcuk.ac.uk/gtr/api/organisation" ns1:created="2026-06-03T15:52:43Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/801E92DC-FBD5-4705-AC89-7E626ECB5C29" ns1:id="801E92DC-FBD5-4705-AC89-7E626ECB5C29"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/4EE5E57F-60AA-406D-BD21-49DF820AACBD" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/FE0AD965-17C1-4602-BF76-D6CDC97A387F" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/FE0AD965-17C1-4602-BF76-D6CDC97A387F" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2027-02-28T00:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/BE8A67D8-2719-41FE-90AA-50860B29B0AA" ns1:rel="FUND" ns1:start="2023-03-01T00:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">10112952</ns2:identifier></ns2:identifiers><ns2:title>RESPITE - RECONFIGURABLE SUPERCONDUTING AND PHOTONIC TECHNOLOGIES OF THE FUTURE</ns2:title><ns2:status>Active</ns2:status><ns2:grantCategory>EU-Funded</ns2:grantCategory><ns2:leadFunder>Horizon Europe Guarantee</ns2:leadFunder><ns2:abstractText>Computing with light using integrated optics has seen huge progress over the last 3-4 years in multiple fields such as neuromorphic computing, quantum computing and on-chip data storage. This has created a vast ecosystem that relies on high-speed reconfigurations of nanophotonic circuits (such as their use as synapses or routing applications) and ultrafast yet high-resolution, low-power photodetection. Currently, it is impossible to combine all these functionalities into an integrated platform that fits onto a single chip. In RESPITE, by utilizing our newly invented superconducting Joule switches as neurons, multi-level phase change memory elements as synaptic weights, and superconducting single-photon detector arrays as retina we will demonstrate a novel platform which combines vision and cognition on a single chip. This new platform will allow in-sensor neuromorphic computing with unprecedented performance levels. The platform will have attoJoule switching power consumption, sub-nanosecond latency, and high compactness (3000 neurons and &amp;gt;100K synapses on &amp;lt;5 mm2). Unlike other superconducting neuromorphic technologies, our new platform will be scalable, easy to fabricate, and compatible with low-cost cryostats, high-Tc superconductors, quantum applications, and on-chip learning architectures – making it a game changer for a wide range of users and disciplines.</ns2:abstractText></ns2:project>