Quantum Computing @IAAS

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

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21 to 30 of 105 Results

data_extended.py Oct 8, 2024 - Data repository for "Minimial-Risk Training Samples for QNN Training from Measurements" Python Source Code - 15.3 KB - MD5: 1a8b536beb4f0ff6160a56dbeac17078 Functions for generating training data of various structures.
data_extraction.py Oct 8, 2024 - Data repository for "Minimial-Risk Training Samples for QNN Training from Measurements" Python Source Code - 9.8 KB - MD5: 03bb5294f00ed8f2a2cd92b5e22ddb8b Analyzes raw experiment data to compute means and standard deviation of various metrics.
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.

data_extended.py

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

Python Source Code - 15.3 KB -

Functions for generating training data of various structures.

data_extraction.py

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

Python Source Code - 9.8 KB -

Analyzes raw experiment data to compute means and standard deviation of various metrics.

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.

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