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Updated: Jan 17, 2026

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A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
Published on: September 5, 2019
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Analytical fidelity calculations for photonic linear cluster state generation
Rohit Prasad1, Simon D Reiß2, Giora Peniakov3
1Lehrstuhl für Technische Physik, Julius-Maximilians-Universität Würzburg, Physikalisches Institut, Am Hubland, 97074, Würzburg, Germany. rohit.prasad@uni-wuerzburg.de.
Nano Convergence
|September 19, 2025
Summary
Researchers developed a new model to generate linear photonic cluster states using quantum dots. This method significantly improves entangling gate and state fidelity for quantum computing, overcoming coherence time limitations.
Area of Science:
- Quantum Information Science
- Quantum Computing
- Optics and Photonics
Background:
- Optical emitters like quantum dots can generate linear photonic cluster states.
- These states are crucial for reducing resource overhead in fault-tolerant optical quantum computing.
- Existing methods face limitations due to spin decoherence and finite excited state lifetimes.
Purpose of the Study:
- To develop an analytical algorithm for tracking the global density matrix during linear cluster state generation.
- To derive a model for calculating entangling gate and state fidelity for generated linear optical cluster states.
- To investigate the impact of error sources and identify optimal device parameters.
Main Methods:
- Analytical tracking of the global density matrix.
- Development of a fidelity calculation model incorporating spin decoherence and excited state lifetime.
- Analysis of partial spin coherence reinitialization upon photon emission.
Main Results:
- A model was derived to calculate entangling gate and state fidelity.
- Partial reinitialization of spin coherence was identified, mitigating coherence time limitations.
- Near-unity fidelities were achieved for 3-photon and 7-photon cluster states with state-of-the-art quantum dots.
Conclusions:
- The developed framework provides insights into cost-to-improvement trade-offs for device design.
- Optimal working points for quantum dot parameters were identified.
- The method enables high-fidelity generation of linear photonic cluster states essential for quantum computing.

