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 |
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 |