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Mathematische Grundlagen der Quantenmechanik
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Citations
Cited by
Quantum information and relativity theory
Peres, A., & Terno, D. R. (2004) · Reviews of Modern Physics · doi:10.1103/revmodphys.76.93 · Cited by 699
Quantum theory as a universal physical theory
Deutsch, D. (1985) · International Journal of Theoretical Physics · doi:10.1007/bf00670071 · Cited by 385
Eine wahrscheinlichkeitstheoretische Begr�ndung und Interpretation der Quantenmechanik
F�nyes, I. (1952) · Zeitschrift f�r Physik · doi:10.1007/bf01338578 · Cited by 310
Quantum-like modeling of cognition
Khrennikov, A. (2015) · Frontiers in Physics · doi:10.3389/fphy.2015.00077 · Cited by 91
Explaining Length Bias in LLM-Based Preference Evaluations
Hu, Z., Song, L., Zhang, J., Xiao, Z., Wang, T., Chen, Z., Yuan, N. J., Lian, J., Ding, K., & Xiong, H. (2025) · Findings of the Association for Computational Linguistics: EMNLP 2025 · doi:10.18653/v1/2025.findings-emnlp.358 · Cited by 4
“We draw on classical information theory, where entropy measures the uncertainty or information content of a message (Von Neumann, 1932).”
Metadata
- Authors
- von Neumann, J.
- Venue
- Springer eBooks
- Publisher
- Springer Berlin Heidelberg
- Published
- 1996
- OpenAlex
- W2115998098
- Cited by
- 475
- References
- 0
- FWCI
- 1.85
- Type
- book
- Language
- de
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- CoChat. (2026). Citation check: Mathematische Grundlagen der Quantenmechanik. https://app.cochat.ai/papers/10.1007/978-3-642-61409-5
- The paper
- von Neumann, J. (1996). Mathematische Grundlagen der Quantenmechanik. Springer eBooks. https://doi.org/10.1007/978-3-642-61409-5
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.