Quantum Annealing for stop paper

No Q1 Indeed, the classification performance is clearly the most important algorithm metric to quantify. The fact that the BDT performs better than a DNN is interesting, and not entirely surprising. Nonetheless, I think giving the reader some indication of the time to solution for the quantum algorithm is extremely important as it clarifies the current practicality and limitations (which may improve dramatically in the near future).

ALERT! Q2 These details of the BDT training should be added to the manuscript, potentially in an appendix if the authors prefer.

The details of the BDT training are already in the manuscript: we kindly refer the referee to the appendix A, lines 459-484 of v2 for the details covering both the BDT internal parameters as well as the procedure for finding the best set of input variables to the BDT. These can be found in the lines - of v3.

DONE Q3 "Indeed: in order to make the comparison with the results of quantum annealing as valid as possible, a BDT was re-trained with the the Delphes simulation. It has to be noted that the performance of the BDT (for the same signal) is compatible between this new simulation and the full simulation of the CMS detector." Could this statement be added to the paper?

This has been added at the end of Appendix A where both the question of simulated samples and the details of the BDT are covered.

DONE Q4 L403: Should this be “comparable to the best-known classical ML tool.” ?

That is indeed a better formulation. The text has been modified as suggested by the referee.

Stop1 direct search at 8 TeV

8 TeV stop studies can be found here

Replies to JHEP's referee can be found here

Stop1 grid

This can be found here

SW guide

This can be found here

Old Jet and MET studies

Some Jet and MET studies can be found here

Old triggers studies studies

trigger studies

-- PedrameBargassa - 28 Jan 2009

Topic attachments
I Attachment History Action Size Date Who Comment
PNGpng LM_Parallel_Coor_Back.png r1 manage 79.6 K 2013-01-16 - 17:33 UnknownUser LM ttbar VarCorr
PNGpng LM_Parallel_Coor_Sig.png r1 manage 87.2 K 2013-01-16 - 17:35 UnknownUser LM sig VarCorr
PNGpng MVA_4j_antiiso_El.png r1 manage 26.6 K 2012-11-08 - 20:49 UnknownUser Single-electron MVA(LM) with RelIso>0.3
PNGpng MVA_4j_antiiso_Mu.png r1 manage 25.9 K 2012-11-08 - 20:50 UnknownUser Single-muon MVA(LM) with RelIso>0.3
GIFgif cumulativehltrate.1e31.gif r1 manage 25.5 K 2009-05-27 - 22:42 UnknownUser Cumulative, per sector rates
GIFgif ele10sumhtscanthreshold.1E31.gif r1 manage 12.6 K 2009-05-21 - 12:17 UnknownUser Rate variation versus HT and Jet-input threshold for Ele10_HT
GIFgif mu5sumhtscanthreshold.1E31.gif r1 manage 11.4 K 2009-05-21 - 12:18 UnknownUser Rate variation versus HT and Jet-input threshold for Mu5_HT
GIFgif sumhtscanthreshold.1E31.gif r1 manage 11.9 K 2009-05-21 - 12:19 UnknownUser Rate variation versus HT and Jet-input threshold for HT

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Topic revision: r140 - 2021-08-18 - unknown
 
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