From Digital Humanities to Quantum Humanities: Potentials and Applications

Barzen, Johanna

doi:10.1007/978-3-030-95538-0_1

Cited by 8 publications

(2 citation statements)

References 64 publications

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“…To demonstrate the practical feasibility of our approach, we integrate it into an existing quantum workflow from the quantum humanities domain [88,89], which aims to detect patterns in costume data from movies, and enables the mapping of new costume data to these patterns. Thereby, clustering is used to partition the data into clusters; subsequently, a classification algorithm is executed to map new data to these clusters.…”

Section: Case Studymentioning

confidence: 99%

“…The workflow instantiation can be triggered by a message, e.g., via a simple HTTP request containing all required data. In Figure 8, the task of pre-processing the categorical costume data by transforming it into numerical data and reducing its dimension is not shown for brevity, and the workflow expects a URL to the prepared data as input instead (see [88] for details). Once instantiated, the workflow starts off by running the quantum k-means-algorithm [91], which consists of multiple tasks.…”

Section: Case Studymentioning

confidence: 99%

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Configurable Readout Error Mitigation in Quantum Workflows

et al. 2022

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Current quantum computers are still error-prone, with measurement errors being one of the factors limiting the scalability of quantum devices. To reduce their impact, a variety of readout error mitigation methods, mostly relying on classical post-processing, have been developed. However, the application of these methods is complicated by their heterogeneity and a lack of information regarding their functionality, configuration, and integration. To facilitate their use, we provide an overview of existing methods, and evaluate general and method-specific configuration options. Quantum applications comprise many classical pre- and post-processing tasks, including readout error mitigation. Automation can facilitate the execution of these often complex tasks, as their manual execution is time-consuming and error-prone. Workflow technology is a promising candidate for the orchestration of heterogeneous tasks, offering advantages such as reliability, robustness, and monitoring capabilities. In this paper, we present an approach to abstractly model quantum workflows comprising configurable readout error mitigation tasks. Based on the method configuration, these workflows can then be automatically refined into executable workflow models. To validate the feasibility of our approach, we provide a prototypical implementation and demonstrate it in a case study from the quantum humanities domain.

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Section: Case Studymentioning

confidence: 99%

Section: Case Studymentioning

confidence: 99%