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271 to 280 of 692 Results
start_training.sh
Dec 2, 2025 - Replication Data and Scripts for: Quantum vs. classical: A comprehensive benchmark study for predicting time series with variational quantum machine learning
Shell Script - 193 B - MD5: 9ac847b0cabc5735f173d927152e2160
submit_multiple_jobs.py
Dec 2, 2025 - Replication Data and Scripts for: Quantum vs. classical: A comprehensive benchmark study for predicting time series with variational quantum machine learning
Python Source Code - 7.7 KB - MD5: 3101abd470b121b37aeaaeb7d519818e
trainer.py
Dec 2, 2025 - Replication Data and Scripts for: Quantum vs. classical: A comprehensive benchmark study for predicting time series with variational quantum machine learning
Python Source Code - 6.3 KB - MD5: 6f2d32afea5459019250cc225ad45110
training_and_analyzing.py
Dec 2, 2025 - Replication Data and Scripts for: Quantum vs. classical: A comprehensive benchmark study for predicting time series with variational quantum machine learning
Python Source Code - 6.5 KB - MD5: ecc6f1cf26ee1e05d870ba7f8627f1ea
vqc_averaged_ids.tab
Dec 2, 2025 - Replication Data and Scripts for: Quantum vs. classical: A comprehensive benchmark study for predicting time series with variational quantum machine learning
Tabular Data - 1.3 MB - 77 Variables, 1054 Observations - UNF:6:Gc0oP2T0vwQf6WFSUWCKcw==
vqc_hyper_opt.tab
Dec 2, 2025 - Replication Data and Scripts for: Quantum vs. classical: A comprehensive benchmark study for predicting time series with variational quantum machine learning
Tabular Data - 1.3 MB - 77 Variables, 1053 Observations - UNF:6:DwKx6jKb7UBOT6gD1eC9Lg==
vqc_results.tab
Dec 2, 2025 - Replication Data and Scripts for: Quantum vs. classical: A comprehensive benchmark study for predicting time series with variational quantum machine learning
Tabular Data - 2.9 MB - 23 Variables, 12420 Observations - UNF:6:p3MdmqZ/58256bDVSTSEyw==
boundaryconditions.py
Oct 28, 2025 - Replication Data and Scripts for: A lattice Boltzmann approach for modeling coupled evaporation/precipitation processes in porous media
Python Source Code - 11.4 KB - MD5: 7e62c2a25b73d8c75a37d35eb20fc008
coexistence_ana_CS_nondim.dat
Oct 28, 2025 - Replication Data and Scripts for: A lattice Boltzmann approach for modeling coupled evaporation/precipitation processes in porous media
Fixed Field Text Data - 4.9 KB - MD5: defdc2e5ee7feaf2164259ef4fc14f03
data_compressed_115deg_115deg.npz
Oct 28, 2025 - Replication Data and Scripts for: A lattice Boltzmann approach for modeling coupled evaporation/precipitation processes in porous media
Unknown - 2.2 GB - MD5: c841539cecf76b36d3ddd78427384273
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