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Updated: Jan 26, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

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Published on: September 8, 2023

Epsilon-Near-Zero Grids for On-chip Quantum Networks.

Larissa Vertchenko¹, Nika Akopian², Andrei V Lavrinenko²

¹Department of Photonics Engineering, Technical University of Denmark, Ørsteds Plads 345V, DK-2800, Kongens, Lyngby, Denmark. lariv@fotonik.dtu.dk.

Scientific Reports

|April 17, 2019

Summary

This summary is machine-generated.

We developed a robust on-chip quantum network using epsilon-near-zero (ENZ) materials. This approach significantly enhances quantum information protection against decoherence and losses, enabling scalable quantum photonic circuits.

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Area of Science:

Integrated Quantum Photonics
Materials Science for Quantum Technologies

Background:

On-chip quantum networks are crucial for quantum information processing.
Existing integrated quantum photonic solutions face challenges with decoherence and scalability.
Developing scalable, robust on-chip quantum networks remains a significant technological hurdle.

Purpose of the Study:

To propose and numerically demonstrate a novel on-chip quantum network architecture.
To leverage epsilon-near-zero (ENZ) materials for enhanced quantum information protection.
To overcome limitations of current integrated quantum photonics.

Main Methods:

Utilized epsilon-near-zero (ENZ) materials with a near-zero real part of the dielectric function.
Numerically modeled a quantum network implemented on a titanium nitride grid.
Quantified coherence length and information propagation fidelity.

Main Results:

ENZ materials effectively protect quantum information from decoherence and losses.
Demonstrated a coherence length of 434 nm in a titanium nitride ENZ network at room temperature.
Achieved a coherence length over 40 times greater than state-of-the-art plasmonic analogs.

Conclusions:

ENZ materials offer a promising pathway for robust on-chip quantum networks.
The proposed ENZ-based network facilitates the practical realization of large, multi-node quantum photonic circuits.
This advancement supports the development of scalable quantum technologies.