AI & QC weekly meeting

Europe/Zurich
513/1-024 (CERN)

513/1-024

CERN

1
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Participants
  • Alberto Di Meglio
  • Anna Ferrari
  • Florian Rehm
  • Gabriele Morello
  • Gabriele Morello
  • Hanyul Ryu
  • Jose Cabrero Holgueras
  • Kristina Jaruskova
  • Marco Rossi
  • Michele Grossi
  • Oriel Orphee Moira Kiss
  • Renato Paulo Da Costa Cardoso
  • Sofia Vallecorsa
  • Su Yeon Chang
  • Vasileios Belis
Videoconference
AI & QC weekly meeting
Zoom Meeting ID
62263502293
Host
Anna Ferrari
Alternative host
Marco Rossi
Useful links
Join via phone
Zoom URL

Link to ML/DL input doc:

https://docs.google.com/document/d/1CmF2wSlaUjvTo1GKwG-Wi1tKNqMh36cD3nqymrv_Ddo/edit

There are minutes attached to this event. Show them.
    • 2:30 PM 3:00 PM
      Updates 30m
      • Anna Ferrari 1m
        Speaker: Anna Ferrari (CERN)

        updates

        Type*

        updating data for excess of mortality T/D
        testing platform visualization T/D
        organise UX tasks T/D
        organise tasks for platform 3rd release T
           

        * Type: T = to do / D = done/ O = others

      • José Cabrero Hogueras 1m
        Speaker: Jose Cabrero Holgueras (University Carlos III (ES))

        updates

        Type*

        Prepare testing infrastructure for Quantumacy T/D
           
           
           

        * Type: T = to do / D = done/ O = others

      • Vasileios Belis 1m
        Speaker: Vasileios Belis (ETH Zurich (CH))

        updates

        Type*

        Code for pennylane trying to reproduce
        Samuel's results.

         T/D
        Code for noisy+hardware+hybrid VQC
        in pennylane.
         T/D
        At the same time try to have a draft by
        Friday (if we have working results by then)
         T/D
           
           

        * Type: T = to do / D = done/ O = others

      • Marco Rossi 1m
        Speaker: Marco Rossi (CERN)

        updates

        Type*

        inspecting slicing upgrade with attention T/D
        2betadecay classifier with attention network/transformer T
        denosing model on FPGAs with ONNX (Micron, first meeting) D

        * Type: T = to do / D = done/ O = others

      • Su Yeon Chang 1m
        Speaker: Su Yeon Chang (EPFL - Ecole Polytechnique Federale Lausanne (CH))

        updates

        Type*

        Finish ACAT papers  D

        Implement hybrid model with classical classifier 

        -> MSSIM = 0.87, Accuracy = 90% 

        D

        Implement hybrid model with quantum classifier 

        -> Start with Sebastianelli's model 
        T
           
           

        * Type: T = to do / D = done/ O = others

      • Florian Rehm 1m
        Speaker: Florian Rehm (Rheinisch Westfaelische Tech. Hoch. (DE))

        updates

        Type*

        Work on new generative model

        T/D

        Shift work :(

        T
           
           

        * Type: T = to do / D = done/ O = others

      • Gabriele Morello 1m
        Speaker: Gabriele Morello (Politecnico di Torino (IT))

        updates

        Type*

        Deployed OpenFL with Docker D
        Still waiting for real QKD T
        Solved an issue with swan to train Gan

         

        T/D
           
           

        * Type: T = to do / D = done/ O = others

      • Renato Cardoso 1m
        Speaker: Renato Paulo Da Costa Cardoso (Universidade de Lisboa (PT))

        updates

        Type*

        Running the progressive GAN T/D
        Reading on Transformers architecture T/D
        Looking into foundation models T/D
           
           

        * Type: T = to do / D = done/ O = others

      • Kristina Jaruskova 1m
        Speaker: Kristina Jaruskova (CERN)

        updates

        Type*

        Conv2D include angle conditioning D
        Intel (Vikram) - go through the code D
        Found. models  
           
           

        * Type: T = to do / D = done/ O = others

      • Oriel Kiss 1m
        Speaker: Oriel Orphee Moira Kiss (Universite de Geneve (CH))

        updates

        Type*

        will translate QCBM to pennylane &autograd

        and push the model

         
        submitted QNN_ForceField to the QCA chemistry engeneering conference  

        begin test for an easier way to learn quantum dynamics => learn the weights

        of a quantum circuit as a function of time via classical nn.

         
           
           

        * Type: T = to do / D = done/ O = others

    • 3:00 PM 3:30 PM
      Presentation 30m