Institute for Architecture for Application Systems

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51 to 60 of 2,454 Results

qnn.py Oct 8, 2024 - Data repository for "Minimial-Risk Training Samples for QNN Training from Measurements" Python Source Code - 567 B - MD5: 2d59023ea07e02020019970d499218fa Structure of QNN implementations.
quantum_gates.py Oct 8, 2024 - Data repository for "Minimial-Risk Training Samples for QNN Training from Measurements" Python Source Code - 4.4 KB - MD5: 880496a1590c56ea84ba76c2c826db7a Collection of various quantum gates implemented using pytorch for the QNN implementations.
requirements.txt Oct 8, 2024 - Data repository for "Minimial-Risk Training Samples for QNN Training from Measurements" Plain Text - 113 B - MD5: 2afe47d43d99e1cebff654aec793343a Python requirements for experiments.
risk.py Oct 8, 2024 - Data repository for "Minimial-Risk Training Samples for QNN Training from Measurements" Python Source Code - 3.5 KB - MD5: 451c38f7f182216209d265037c71722a Utility functions for computing risk.
sampling_error_extension.py Oct 8, 2024 - Data repository for "Minimial-Risk Training Samples for QNN Training from Measurements" Python Source Code - 9.8 KB - MD5: fca958b2e95c257b8cebd29fc81b41fd Functions/Classes required for training with observables/training by sampling from measurements.
unitaries.zip Oct 8, 2024 - Data repository for "Minimial-Risk Training Samples for QNN Training from Measurements" ZIP Archive - 43.6 KB - MD5: 364ec719013af5ad6c6fc07d236211ad Unitary matrices (as pytorch files) that were used as target operators in the experiments.
utils.py Oct 8, 2024 - Data repository for "Minimial-Risk Training Samples for QNN Training from Measurements" Python Source Code - 5.2 KB - MD5: a5623fd0ce92b1547522e599c9fc5ec9 General utility functions.
chat.py Oct 7, 2024 - Replication Data for: Compositio Prompto: An Architecture to Employ Large Language Models in Automated Service Computing Python Source Code - 857 B - MD5: 59cd746b143ee1293e59219c31945cde
code_extraction.py Oct 7, 2024 - Replication Data for: Compositio Prompto: An Architecture to Employ Large Language Models in Automated Service Computing Python Source Code - 251 B - MD5: 0f4fbdf56add8c4f75dd3f0bc35a050e
compare.py Oct 7, 2024 - Replication Data for: Compositio Prompto: An Architecture to Employ Large Language Models in Automated Service Computing Python Source Code - 3.1 KB - MD5: 350886b84b6feff7ec69dba8952e39f3

qnn.py

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

Python Source Code - 567 B -

Structure of QNN implementations.

quantum_gates.py

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

Python Source Code - 4.4 KB -

Collection of various quantum gates implemented using pytorch for the QNN implementations.

requirements.txt

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

Plain Text - 113 B -

Python requirements for experiments.

risk.py

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

Python Source Code - 3.5 KB -

Utility functions for computing risk.

sampling_error_extension.py

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

Python Source Code - 9.8 KB -

Functions/Classes required for training with observables/training by sampling from measurements.

unitaries.zip

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

ZIP Archive - 43.6 KB -

Unitary matrices (as pytorch files) that were used as target operators in the experiments.

utils.py

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

Python Source Code - 5.2 KB -

General utility functions.

chat.py

Oct 7, 2024 - Replication Data for: Compositio Prompto: An Architecture to Employ Large Language Models in Automated Service Computing

Python Source Code - 857 B -

code_extraction.py

Oct 7, 2024 - Replication Data for: Compositio Prompto: An Architecture to Employ Large Language Models in Automated Service Computing

Python Source Code - 251 B -

compare.py

Oct 7, 2024 - Replication Data for: Compositio Prompto: An Architecture to Employ Large Language Models in Automated Service Computing

Python Source Code - 3.1 KB -

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