Name: AI & QC weekly meeting
Start: 2022-02-01T14:30:00+01:00
End: 2022-02-01T16:00:00+01:00
Location: CERN

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

AI & QC weekly meeting