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researcher

C. Tutschku

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • quant-ph3

identity via Semantic Scholar / OpenAlex

most citedUnsupervised Quantum Anomaly Detection on Noisy Quantum Processors

1 citations · 1 across the 2 of their papers we have counts for

collaborators

3 papers

quant-ph2025

Resource-efficient Variational Compilation of Block-Encodings

Leon Rullkötter, Sebastian Weber, Vamshi Mohan Katukuri +2

Block-encoding operators are one of the essential components in quantum algorithms based on Quantum Signal Processing. Their gate complexity largely determines the overall gate com…

quant-ph2024

Quantum Annealing based Feature Selection in Machine Learning

Daniel Pranjic, Bharadwaj Chowdary Mummaneni, Christian Tutschku

Feature selection is crucial for enhancing the accuracy and efficiency of machine learning (ML) models. This work investigates the utility of quantum annealing for the feature sele…

quant-ph2024★ 1 cited

Unsupervised Quantum Anomaly Detection on Noisy Quantum Processors

Daniel Pranjić, Florian Knäble, Philipp Kunst +6

Whether in fundamental physics, cybersecurity or finance, the detection of anomalies with machine learning techniques is a highly relevant and active field of research, as it poten…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.