PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 8, 2026Advanced Quantum Technologies1 citationsOpen Access

A Digital Twin of Atomic Ensemble Quantum Memory Experiments Based on an Effective Quantum Channel Description

View Full Paper
ERElizabeth Jane RobertsonDeutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)BMBenjamin MaaßDeutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)KTKonrad TschernigUniversity of Central Florida

Key Points

  • The aim is to develop a framework for accurately modeling ensemble-based atomic quantum memories in quantum networks.
  • Modeling quantum memories using the quantum channel formalism
  • Employing Kraus matrix representation for various quantum memory types
  • Implementing a memory-assisted quantum token protocol within the simulation framework
  • Demonstrated improved accuracy in performance estimation of quantum memories
  • Outlined key performance metrics for state-of-the-art quantum memories
  • Showed easy extensibility to other memory implementations and compatibility with existing simulation frameworks

Abstract

ABSTRACT Accurate performance estimation of experimentally demonstrated quantum memories is key to understand the nuances in their deployment in photonic quantum networks. While several software packages allow for accessible quantum simulation, they often do not account for the loss and noise in physical devices. We present a framework for modeling ensemble‐based atomic quantum memories using the quantum channel formalism. We provide a Kraus matrix representation of several experimentally implemented state‐of‐the art quantum memories and give an overview of their most important performance metrics. To showcase the applicability of this approach, we implement a memory‐assisted quantum token protocol within our simulation framework. Our digital twin model is readily extensible to other memory implementations and easily compatible with existing frameworks for performance simulation of experimental quantum networks.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Robertson et al. (2026) studied this question.

synapsesocial.com/papers/698827670fc35cd7a884626chttps://doi.org/10.1002/qute.202500472
Ask AI
Helpful
Bookmark
Share
View Full Paper