PAF INQNET Symposium

US/Pacific
Casablanca (AT&T PAF)

Casablanca

AT&T PAF

260 Homer St Palo Alto
Rishi Pravahan
Description
Recently the AT&T Foundry in Palo Alto in partnership with Caltech, established the INtelligent Quantum NEworks and Technologies (INQNET) program . The goal of the program is to accelerate progress in quantum technologies with focus on quantum networks and communications, emphasis on quantum AI and relevant work on associated quantum fundamental science and quantum engineering areas. The AT&T Foundry in Palo Alto is organizing an INQNET symposium on the current status and progress in various areas of the program. We welcome colleagues from academia and their students/post-docs whose research interests intersect with the areas above to present their work confidentially at this symposium.
    • 09:00 09:20
      Coffee and Intro

      Introduction to Foundry and INQNET

      Conveners: Rishiraj Pravahan, Yewon Gim
    • 09:20 10:00
      A practical framework for simulating quantum networking protocols over noisy information channels
      Convener: Ben Bartlett
      slides
    • 10:10 10:50
      Quantum frequency converters for signal processing and quantum-node standardization
      Convener: Carsten Langrock
      slides
    • 11:00 11:40
      Simulating Error Correction in Quantum Communication Networks
      Convener: Martin Suchara
      slides
    • 11:50 12:50
      LUNCH Break

      Lunch provided by PAF

    • 13:00 13:40
      State Characterization using Statistical Learning
      Convener: Belinda Pang
      slides
    • 13:45 14:25
      Optical Ising Machines: Computing with a Network of Optical Parametric Oscillators
      Convener: Alireza Marandi
    • 14:30 15:10
      Microwave to millimeter wave conversion for quantum technologies
      Convener: Marek Pechal
      slides
    • 15:15 15:55
      Simulation of a quantum perceptron algorithm
      Convener: Rajiv Krishnakumar
      slides
    • 16:00 16:40
      Color Center Quantum Nanophotonics
      Conveners: Marina Radulaski, Shuo Sun
      slides
    • 16:40 17:00
      Discussion and Conclusions