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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Datasets for the aTTN Cookbook

Authors: Reinić, Nora; Pavešić, Luka; Jaschke, Daniel; Montangero, Simone;

Datasets for the aTTN Cookbook

Abstract

The files contain the datasets with the results of the manuscript The Augmented Tree Tensor Network Cookbook. All the datasets have been produced using the Quantum TEA software, with the user guide repository for running the simulations linked in the URL. The dataset contains 7 folders: raw_data_ising4numDE/ - square lattice Ising model benchmarks, energy and runtime for different number of disentanglers (DE)Subfolder structure: {TN-ansatz}/Lx{size-along-x}_Ly{size-along-y}_chi{bond-dimension}_g{external-field}/gpu_symm5_sweeps{number-of-dmrg-sweeps}_numde{number-of-DE}/out/ raw_data_ising4extfields/ - square lattice Ising model benchmarks, energy and runtime for different external fieldsSubfolder structure: {TN-ansatz}/Lx{size-along-x}_Ly{size-along-y}_chi{bond-dimension}_g{external-field}/gpu_symm5_sweeps{number-of-dmrg-sweeps}_deopt{sweeps-without-DE}/out/ raw_data_ising4bonddims/ - square lattice Ising model benchmarks, energy and runtime for different system sizes and bond dimensionsSubfolder structure: {TN-ansatz}/Lx{size-along-x}_Ly{size-along-y}_chi{bond-dimension}_g{external-field}/cpu+gpu_symm5_sweeps{number-of-dmrg-sweeps}_deopt{sweeps-without-DE}/out/ raw_data_ising_memories/ - square lattice Ising model benchmarks, max allocated GPU memory for different system sizes and bond dimensionsSubfolder structure: {TN-ansatz}/Lx{size-along-x}_Ly{size-along-y}_chi{bond-dimension}_g{external-field}/cpu+gpu_symm5_sweeps{number-of-dmrg-sweeps}_deopt{sweeps-without-DE}/out/ raw_data_ising_bestresult/ - square lattice Ising model benchmarks, energy and runtime for highest possible bond dimension over different external fieldsSubfolder structure: {TN-ansatz}/Lx{size-along-x}_Ly{size-along-y}_chi{bond-dimension}_g{external-field}/cpu+gpu_symm5_sweeps{number-of-dmrg-sweeps}_deopt{sweeps-without-DE}/out/ raw_data_ising4deoptsweeps/ - square lattice Ising model benchmarks, energy and runtime for different number of sweeps without disentanglersSubfolder structure: {TN-ansatz}/Lx{size-along-x}_Ly{size-along-y}_chi{bond-dimension}_g{external-field}/gpu_symm5_sweeps{number-of-dmrg-sweeps}_deopt{sweeps-without-DE}/out/ raw_data_heis4bonddims/ - triangular lattice Heisenberg model benchmarks, energy, runtime, and max allocated GPU memory for different system sizes and bond dimensionsSubfolder structure: {TN-ansatz}/Lx{size-along-x}_Ly{size-along-y}_chi{bond-dimension}_D1.0000/cpu+gpu_symm5_sweeps{number-of-dmrg-sweeps}_deopt{sweeps-without-DE}/out/ Remark: symm5 in all folder names marks that the grond state search was ran without enforced symmetries, i.e. conserved quantities., gpu/cpu+gpu marks whether the simulation was run fully on a GPU or with the mixed device mode

Keywords

quantum-physics, tensor-networks

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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