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.

Advanced Search

31 to 40 of 2,454 Results
requirements.txt
Dec 16, 2024 - Data repository for "Joint Wire Cutting with Non-Maximally Entangled States"
Plain Text - 2.1 KB - MD5: f5d9b3247d64823beabb16315090f872
Python requirements for reproduction.
states.py
Dec 16, 2024 - Data repository for "Joint Wire Cutting with Non-Maximally Entangled States"
Python Source Code - 1.3 KB - MD5: a0cdda6de40f11db533b691699e3ec80
Functions to generate entangled states
test_cut.py
Dec 16, 2024 - Data repository for "Joint Wire Cutting with Non-Maximally Entangled States"
Python Source Code - 2.7 KB - MD5: b244c0ef8c8a9c58576370ae90a79590
Tests for functions in "cut.py".
test_mubs.py
Dec 16, 2024 - Data repository for "Joint Wire Cutting with Non-Maximally Entangled States"
Python Source Code - 1.2 KB - MD5: 2f60a0784ca977a192382cfa97dd44d3
Tests for functions in "mubs.py".
test_operators.py
Dec 16, 2024 - Data repository for "Joint Wire Cutting with Non-Maximally Entangled States"
Python Source Code - 3.4 KB - MD5: 28071dfefba2ca9109976f6142dc7378
Tests for functions in "operators.py".
code.zip
Dec 9, 2024 - Replication Data for: Advanced System Integration: Analyzing OpenAPI Chunking for Retrieval-Augmented Generation
ZIP Archive - 253.7 KB - MD5: 12d770635f5681c5fae70fe48159d570
results.zip
Dec 9, 2024 - Replication Data for: Advanced System Integration: Analyzing OpenAPI Chunking for Retrieval-Augmented Generation
ZIP Archive - 210.5 MB - MD5: 427613443f5e68f44d561e7c1d7b64fe
cuda_qnn.py
Oct 8, 2024 - Data repository for "Minimial-Risk Training Samples for QNN Training from Measurements"
Python Source Code - 24.6 KB - MD5: de37947e29cd064e381011cfc7b1f24d
Collection of various QNN implementations. For the paper the implementation UnitaryParametrization is used.
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.
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.