From Digital Humanities to Quantum Humanities: Potentials and Applications
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Abstract (arXiv)
Quantum computers are becoming real. Therefore, it is promising to use their potentials in different applications areas, which includes research in the humanities. Due to an increasing amount of data that needs to be processed in the digital humanities the use of quantum computers can contribute to this research area. To give an impression on how beneficial such involvement of quantum computers can be when analyzing data from the humanities, a use case from the media science is presented. Therefore, both the theoretical basis and the tooling support for analyzing the data from our digital humanities project MUSE is described. This includes a data analysis pipeline, containing e.g. various approaches for data preparation, feature engineering, clustering, and classification where several steps can be realized classically, but also supported by quantum computers.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 12 of its 111 references that are in the map. First posted on arXiv 17 Mar 2021.
Builds on
12 of 111 references.
References · 12
- 2018Supervised learning with quantum enhanced feature spacescited by 654
- 2019Universal Approximation with Deep Narrow Networkscited by 198
- 2016Quantum-enhanced machine learningcited by 79
- 2016The non-convex Burer-Monteiro approach works on smooth semidefinite programscited by 44
- 2017Quantum Neuron: an elementary building block for machine learning on quantum computerscited by 34
- 2016Quantum Perceptron Modelscited by 27
- 2017Quantum autoencoders via quantum adders with genetic algorithmscited by 19
- 2015A Riemannian low-rank method for optimization over semidefinite matrices with block-diagonal constraintscited by 16
- 2018Experimental Implementation of a Quantum Autoencoder via Quantum Adderscited by 12
- 2013Feature Learning with Gaussian Restricted Boltzmann Machine for Robust Speech Recognitioncited by 1
- 2014Restricted Boltzmann Machine for Classification with Hierarchical Correlated Priorcited by 1
- 2020Pattern Views: Concept and Tooling for Interconnected Pattern Languagescited by 1
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Citing papers per year: 2026: 1.
1 paper.
- 2026QOuLiPo: What a quantum computer sees when it reads a book13 May 2026