Oriel Kiss

Quantum algorithms and machine learning

Statistics of topological defects across a phase transition in a superconducting quantum processor


Journal article


Oriel Kiss, Daniil Teplitskiy, Michele Grossi, Antonio Mandarino
Quantum Sci. Technol., vol. 10, 2025, p. 035037


arXiv Paper
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APA   Click to copy
Kiss, O., Teplitskiy, D., Grossi, M., & Mandarino, A. (2025). Statistics of topological defects across a phase transition in a superconducting quantum processor. Quantum Sci. Technol., 10, 035037. https://doi.org/10.1088/2058-9565/addf75


Chicago/Turabian   Click to copy
Kiss, Oriel, Daniil Teplitskiy, Michele Grossi, and Antonio Mandarino. “Statistics of Topological Defects across a Phase Transition in a Superconducting Quantum Processor.” Quantum Sci. Technol. 10 (2025): 035037.


MLA   Click to copy
Kiss, Oriel, et al. “Statistics of Topological Defects across a Phase Transition in a Superconducting Quantum Processor.” Quantum Sci. Technol., vol. 10, 2025, p. 035037, doi:10.1088/2058-9565/addf75.


BibTeX   Click to copy

@article{oriel2025a,
  title = {Statistics of topological defects across a phase transition in a superconducting quantum processor},
  year = {2025},
  journal = {Quantum Sci. Technol.},
  pages = {035037},
  volume = {10},
  doi = {10.1088/2058-9565/addf75},
  author = {Kiss, Oriel and Teplitskiy, Daniil and Grossi, Michele and Mandarino, Antonio}
}

In this study, we investigate the counting statistics of kink density in the 1D transverse-field quantum Ising model. We demonstrate on multiple quantum processing units up to 100 qubits, that higher-order cumulants follow a universal power law scaling as a function of the quench time. We also show the breakdown of the KZM for short quenches for finite-size systems.
[Picture]
Quantum simulation on IBM Kingston (N = 50) and IBM Aachen (N=100). The first cumulant of the kink density is shown as a function of the quench time, as well as the number of Trotter steps.