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Jul 2, 2025 -
Data repository for "Simulating Quantum State Transfer between Distributed Devices using Noisy Interconnects"
Adobe PDF - 326.1 KB -
MD5: 9f63d17bba2da7e2e75d3407ac8d674d
Analysis of the error with QPD coefficients c and 1-c, where the dotted vertical lines indicate the experimentally computed QPD coefficients based on the different measured entanglement fidelities F(C). |
Jul 2, 2025 -
Data repository for "Simulating Quantum State Transfer between Distributed Devices using Noisy Interconnects"
Adobe PDF - 164.3 KB -
MD5: d075ad5745c774444664bc286dfb0edf
Entanglement fidelity of the teleportation channel as a function of SWAP operations k applied to the resource state. Highlighted points indicate the configurations used in the subsequent experiments. |
Jul 2, 2025 -
Data repository for "Simulating Quantum State Transfer between Distributed Devices using Noisy Interconnects"
Adobe PDF - 164.7 KB -
MD5: 96973259b3542fde9868c0ec7430d8fe
Error scaling for the QPDs and direct teleportation under varying entanglement fidelity across different quantum devices. |
Jul 2, 2025 -
Data repository for "Simulating Quantum State Transfer between Distributed Devices using Noisy Interconnects"
Adobe PDF - 111.9 KB -
MD5: 0028c11915586ef3e826fd54310dbf80
Simulation results: Error scaling of the channel C and various QPDs applied to channel C, evaluated for different entanglement fidelities F(C) and coherent rotation angles θ ($\theta$). |
Jun 30, 2025 - Data Analytics in Engineering
Keshav, Sanath; Herb, Julius; Fritzen, Felix, 2025, "Supplemental data for "Spectral Normalization and Voigt–Reuss net: A universal approach to microstructure‐property forecasting with physical guarantees"", https://doi.org/10.18419/DARUS-5120, DaRUS, V1
This repository contains supplemental data for the article "Spectral Normalization and Voigt-Reuss net: A universal approach to microstructure‐property forecasting with physical guarantees", accepted for publication in GAMM-Mitteilungen by Sanath Keshav, Julius Herb, and Felix Fritzen [1]. The data contained in this DaRUS repository acts as an exte... |
Hierarchical Data Format - 60.2 MB -
MD5: 4b2bf1962e82599c898a4455c6533ff9
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Hierarchical Data Format - 20.4 GB -
MD5: a9477e95e5a60a4847e9d13f3af03832
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Markdown Text - 7.9 KB -
MD5: f9e243a198c3eb1c74affa02ab2ee28e
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Jun 26, 2025Surrogate models for groundwater flow simulations
Raw and prepared datasets and trained models for the publication "Few-Shot Learning by Explicit Physics Integration: An Application to Groundwater Heat Transport", including randomized and real permeability fields, on different domain sizes (12.8kmx12.8km and double the size for scaling tests); DDUNet- and LGCNN architectures |