Quantum Computing @IAAS

Dataverse for all quantum computing projects of the Institute of Architecture of Application Systems (IAAS)

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

21 to 30 of 98 Results

experiment.py Oct 8, 2024 - Data repository for "Minimial-Risk Training Samples for QNN Training from Measurements" Python Source Code - 3.7 KB - MD5: 0f05e371ceebb31bc2fb7b37f3c48e65 General experiment code. Trains networks and outputs the trained network.
exp_inf_coeffvariation.py Oct 8, 2024 - Data repository for "Minimial-Risk Training Samples for QNN Training from Measurements" Python Source Code - 3.4 KB - MD5: c862a47b55ab80158e9e7aeac7656807 Experiment entry point for the experiment in Section 4.2/Figure 1.
exp_inf_coeffvariation.zip Oct 8, 2024 - Data repository for "Minimial-Risk Training Samples for QNN Training from Measurements" ZIP Archive - 490.5 MB - MD5: 8e6970ba91f0895eecbedc441ad7b7be Raw experiment results for the experiments shown in Figure 1.
exp_inf_random.py Oct 8, 2024 - Data repository for "Minimial-Risk Training Samples for QNN Training from Measurements" Python Source Code - 1.4 KB - MD5: 7955b007d3d6cbdaf5b3bbcab20a81c0 Experiment entry point for the experiment in Section 4.3/Figure 2.
exp_inf_random.zip Oct 8, 2024 - Data repository for "Minimial-Risk Training Samples for QNN Training from Measurements" ZIP Archive - 96.7 MB - MD5: 0563f65cfd2bc846aca42515bb09947d Raw experiment results for the experiments shown in Figure 2.
exp_setup.py Oct 8, 2024 - Data repository for "Minimial-Risk Training Samples for QNN Training from Measurements" Python Source Code - 494 B - MD5: 2f2da4b030d7a0517332fd9cb80a2ad4 General setup code for experiments - is imported in the experiment entry points.
plot_coeffvariation.pdf Oct 8, 2024 - Data repository for "Minimial-Risk Training Samples for QNN Training from Measurements" Adobe PDF - 325.3 KB - MD5: 36fb8c03d1f896bb593bd4886bcf2bfd Figure 1: Average risk of QNNs that are trained with training samples of varying Schmidt rank r and varying coefficient c_1 for the Schmidt basis state \|γ⟩ = U^†\|o⟩.
plot_obs_risks.py Oct 8, 2024 - Data repository for "Minimial-Risk Training Samples for QNN Training from Measurements" Python Source Code - 4.8 KB - MD5: 2faa5357c3da420669cf42ad353e24d7 Main entry points for plotting figures from the paper.
plot_random.pdf Oct 8, 2024 - Data repository for "Minimial-Risk Training Samples for QNN Training from Measurements" Adobe PDF - 201.6 KB - MD5: 11f669c77e88e3114732fec1b66cac8c Figure 2: Average risk of QNNs that are trained with training samples of varying Schmidt rank r comprised of randomly sampled Schmidt basis vectors.
pt_train.py Oct 8, 2024 - Data repository for "Minimial-Risk Training Samples for QNN Training from Measurements" Python Source Code - 7.9 KB - MD5: 7cf85753480f2bb138f59e5d96735313 The QNN training routines that are used in the experiments.

experiment.py

Oct 8, 2024 - Data repository for "Minimial-Risk Training Samples for QNN Training from Measurements"

Python Source Code - 3.7 KB -

General experiment code. Trains networks and outputs the trained network.

exp_inf_coeffvariation.py

Oct 8, 2024 - Data repository for "Minimial-Risk Training Samples for QNN Training from Measurements"

Python Source Code - 3.4 KB -

Experiment entry point for the experiment in Section 4.2/Figure 1.

exp_inf_coeffvariation.zip

Oct 8, 2024 - Data repository for "Minimial-Risk Training Samples for QNN Training from Measurements"

ZIP Archive - 490.5 MB -

Raw experiment results for the experiments shown in Figure 1.

exp_inf_random.py

Oct 8, 2024 - Data repository for "Minimial-Risk Training Samples for QNN Training from Measurements"

Python Source Code - 1.4 KB -

Experiment entry point for the experiment in Section 4.3/Figure 2.

exp_inf_random.zip

Oct 8, 2024 - Data repository for "Minimial-Risk Training Samples for QNN Training from Measurements"

ZIP Archive - 96.7 MB -

Raw experiment results for the experiments shown in Figure 2.

exp_setup.py

Oct 8, 2024 - Data repository for "Minimial-Risk Training Samples for QNN Training from Measurements"

Python Source Code - 494 B -

General setup code for experiments - is imported in the experiment entry points.

plot_coeffvariation.pdf

Oct 8, 2024 - Data repository for "Minimial-Risk Training Samples for QNN Training from Measurements"

Adobe PDF - 325.3 KB -

Figure 1: Average risk of QNNs that are trained with training samples of varying Schmidt rank r and varying coefficient c_1 for the Schmidt basis state |γ⟩ = U^†|o⟩.

plot_obs_risks.py

Oct 8, 2024 - Data repository for "Minimial-Risk Training Samples for QNN Training from Measurements"

Python Source Code - 4.8 KB -

Main entry points for plotting figures from the paper.

plot_random.pdf

Oct 8, 2024 - Data repository for "Minimial-Risk Training Samples for QNN Training from Measurements"

Adobe PDF - 201.6 KB -

Figure 2: Average risk of QNNs that are trained with training samples of varying Schmidt rank r comprised of randomly sampled Schmidt basis vectors.

pt_train.py

Oct 8, 2024 - Data repository for "Minimial-Risk Training Samples for QNN Training from Measurements"

Python Source Code - 7.9 KB -

The QNN training routines that are used in the experiments.

Add Data

Share Dataverse

Link Dataverse

Reset Modifications