Quantum Sensing for Position, Navigation, and Timing
This new report, available exclusively to QED-C Members, reviews the challenges of scaling and commercializing quantum sensors and explores potential use cases in detail. Additionally, the report presents four strategic recommendations for advancing quantum sensors and boosting their adoption in positioning, navigation, and timing (PNT) applications.
TAC Vice-Chair Elections are underway. If you belong to a TAC, please check your inbox and junk folders for the ballot and cast your vote by September 30, 2024
Interested in a career in quantum information science and technology (QIST) or learning more about this emerging technology? The QED-C Office Hours program offers students the opportunity to meet one-on-one with current practitioners in QIST. Register today for the September session.
Discover how your membership unlocks exclusive benefits! From networking opportunities and industry insights to valuable resources and events, this session will highlight how to make the most of your membership and connect with our vibrant quantum community.
Our panel of experts from AWS, Icosa Computing, InfinityQ, Iff Technologies, Orientom, and Strange Works will delve into the latest developments in quantum software and engage with attendees during an interactive Q&A session following the presentations.
Greg Rieker of LongPath Technologies presented to the Use Cases TAC on the company's work building networked methane monitoring systems for oil & gas infrastructure that uses quantum sensors.
The Defense Advanced Research Projects Agency (DARPA) is soliciting innovative approaches to address challenges related to quantum computing. The program will examine approaches to constructing a utility-scale fault-tolerant quantum computer and computational workflows that include quantum compute steps. Proposed research should investigate approaches that enable revolutionary advances in the design, engineering, testing, and evaluation of such systems. Specifically excluded is research that primarily results in evolutionary improvements to the existing state of practice.