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Evaluation of Distimation's Real-World Performance on a Superconducting Quantum Computer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Quantum state estimation plays a crucial role in ensuring reliable creation of entanglement within quantum networks, yet conventional Quantum State Tomography (QST) methods remain resource-intensive and impractical for scaling. To address these limitations, we experimentally validate Distimation, a novel distillation-based protocol designed for efficient Bell-diagonal state estimation. Using IBM Quantum simulators and hardware, we demonstrate that Distimation accurately estimates Bell parameters under simulated and real-world noise conditions, but also demonstrating limitations with operational noise and number of available shots. Additionally, we simulate an asymmetric-fidelity Bell pair scenario via Measurement-Based Quantum Computation (MBQC) to further validate Distimation under realistic network conditions. Our results establish Distimation as a viable method for scalable, real-time entanglement monitoring in practical quantum networks.

Original languageEnglish
Title of host publicationTechnical Papers Program
EditorsCandace Culhane, Greg Byrd, Hausi Muller, Andrea Delgado, Stephan Eidenbenz
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1043-1051
Number of pages9
ISBN (Electronic)9798331557362
DOIs
Publication statusPublished - 2025
Event6th IEEE International Conference on Quantum Computing and Engineering, QCE 2025 - Albuquerque, United States
Duration: 2025 Aug 312025 Sept 5

Publication series

NameProceedings - IEEE Quantum Week 2025, QCE 2025
Volume1

Conference

Conference6th IEEE International Conference on Quantum Computing and Engineering, QCE 2025
Country/TerritoryUnited States
CityAlbuquerque
Period25/8/3125/9/5

Keywords

  • Bell-diagonal states
  • Entanglement Characterization
  • Entanglemnet Distillation
  • Measurement-based Quantum Computation
  • Quantum Networking

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Computational Theory and Mathematics
  • Hardware and Architecture
  • Signal Processing
  • Electrical and Electronic Engineering
  • Computational Mathematics

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