Visualizing Quantum Circuit Probability: Estimating Quantum State Complexity for Quantum Program Synthesis.

Bach BG, Kundu A, Acharya T, Sarkar A

DOI: 10.3390/e25050763
Published: 2023 May 7
Container: Entropy (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/e25050763,
  title = {Visualizing Quantum Circuit Probability: Estimating Quantum State Complexity for Quantum Program Synthesis.},
  author = {Bach BG and Kundu A and Acharya T and Sarkar A},
  year = {2023},
  journal = {Entropy (Basel, Switzerland)},
  doi = {10.3390/e25050763},
  url = {https://doi.org/10.3390/e25050763}
}

RIS

TY  - JOUR
TI  - Visualizing Quantum Circuit Probability: Estimating Quantum State Complexity for Quantum Program Synthesis.
AU  - Bach BG
AU  - Kundu A
AU  - Acharya T
AU  - Sarkar A
PY  - 2023
JO  - Entropy (Basel, Switzerland)
DO  - 10.3390/e25050763
UR  - https://doi.org/10.3390/e25050763
ER  -

APA

BG, B., A, K., T, A., & A, S. (2023). Visualizing Quantum Circuit Probability: Estimating Quantum State Complexity for Quantum Program Synthesis.. Entropy (Basel, Switzerland). https://doi.org/10.3390/e25050763

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pubmed · retrieved 2026-11-10T07:22:32.827Z