Citation notice #10352 · 2026-08-16 06:31:04.271860+00:00
Quantum Entrepreneurship Lab: Training a Future Workforce for the Quantum Industry
cites Data-driven dynamical mean-field theory: An error-correction approach to solve the quan- tum many-body problem using machine learning,, which carries a correction notice dated 2021-11-17. One-hop deterministic notice: the citation edge exists in the Pith bibliography graph; no model judged whether the citation was load-bearing.
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01Evidence
Raw extraction · bibliography line · bibliography index 26
E. Sheridan et al. , “Data-driven dynamical mean-field theory: An error-correction approach to solve the quan- tum many-body problem using machine learning,”Phys. Rev. B, vol. 104, no. 20, p. 205 120, Nov. 2021. DOI: 10.1103/ PhysRevB.104.205120. [Online]. Available: https://link.aps.org/doi/10.1103/PhysRevB.104.205120
Parser render (TeX stripped for reading; raw above is the evidence)
E. Sheridan et al., “Data-driven dynamical mean-field theory: An error-correction approach to solve the quan- tum many-body problem using machine learning,”Phys. Rev. B, vol. 104, no. 20, p. 205 120, Nov. 2021. DOI: 10.1103/ PhysRevB.104.205120. [Online]. Available: https://link.aps.org/doi/10.1103/PhysRevB.104.205120
02Event
- Type
- Correction
- Source
- Crossref
- Original DOI
- 10.1103/physrevb.104.205120
- Notice DOI
- 10.1103/physrevb.104.205120
- Date
- 2021-11-17
- Title
- Data-driven dynamical mean-field theory: An error-correction approach to solve the quantum many-body problem using machine learning
- Reasons
- ['Correction']
- Work
- Data-driven dynamical mean-field theory: An error-correction approach to solve the quan- tum many-body problem using machine learning, (2021)
03Dispute this notice
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