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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
    • 2:30 PM 3:00 PM
      Updates 30m
      • Anna Ferrari 1m
        Speaker: Anna Ferrari (CERN)

        updates

        Type*

        define new requirements fro platform T/D
        summer student projects D
        contacts with user for platform D/T
           
           

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

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

        updates

        Type*

        Quantumacy Use Case Code Optimizations  T/D
           
           
           
           

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

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

        updates

        Type*

        Develop code to save training QSVM metadata for
        hardware/noisy runs
         D
        Retrain all our models (1 QSVM+ 5 Auteonceoders) on noisy ibm_cairo simulation  D
        Rerun on hardware with 100 training samples after the IBM server issue occured  D

        Final implementation of QSVM testing in k-folds to improve inference runtime

        + number of circuits needed (more efficiently than qiskit does it)

        T/D
           

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

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

        updates

        Type*

        ACAT paper finished, under DUNE review T
        investigating meta-learning/graph hyper networks literature T/D
        reviewing QML techniquest T/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 candidacy exam  D
        Write paper for ACAT T
        Implement/test multitask model T
           
           

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

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

        updates

        Type*

        Working on new quantum generator model

        td

        Implementing also QGAN model

        td
           
           

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

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

        updates

        Type*

        update docs of QKDSimkit T/D
        published outputs of openfl training D

        write instructions for openfl

        D
           
           

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

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

        updates

        Type*

        Correcting and running ProGan Training T/D
        Reading about met-learning and foundation models T/D
           
           
           

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

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

        updates

        Type*

        ACAT paper T/D
        Foundation models T/D
        2DGAN angle - let it run using more data T/D
           
           

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

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

        updates

        Type*

        Dorota: see if genetic optimization generalize with higher number of qubits: answer no!,

        only with the coefficients

         
        Dorota: either lattice QCD or EFT to control the errors instead of toy models. i would go for EFTs  

        begin to look into RL since genetic optimization is not general enough

         
        should i submit my proposal for the summer students?  

        QCBM and C-GAN don t respect the physical laws => will incorporate them in the training

        WCCI paper submitted.

         

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

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