Simulation of a Heterogeneous Quantum Network
Hayden Miller, Caitao Zhan, Michael Bishof, Joaquin Chung, Han Xu, Prem Kumar, Rajkumar Kettimuthu

TL;DR
This paper introduces a simulation framework for heterogeneous quantum networks, modeling different qubit platforms and protocols to evaluate performance trade-offs and identify bottlenecks, aiding design and implementation decisions.
Contribution
It presents a hardware-faithful, open-source simulation framework based on SeQUeNCe for heterogeneous quantum networks, including models for Ytterbium atoms and superconducting qubits.
Findings
Mapped rate-fidelity trade space for heterogeneous systems
Identified dominant bottlenecks in quantum network performance
Provided extensible models for future protocol evaluation
Abstract
Quantum networks are expected to be heterogeneous systems, combining distinct qubit platforms, photon wavelengths, and device timescales to achieve scalable, multiuser connectivity. Building and iterating on such systems is costly and slow, which motivates hardware-faithful simulations that explore architecture design space and justify implementation decisions. This paper presents a framework for simulating heterogeneous quantum networks based on SeQUeNCe, a discrete-event simulator of quantum networks. We introduce faithful device models for two representative platforms - Ytterbium atoms and superconducting qubits - to implement entanglement generation and swapping protocols for time-bin encoded photons. Using extensive simulations that account for disparate clock rates and quantum frequency conversion and transduction losses/noise, we map the rate-fidelity trade space and identify the…
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Taxonomy
TopicsQuantum Information and Cryptography · Quantum Computing Algorithms and Architecture · Quantum Mechanics and Applications
