Distributed Variational Quantum Eigensolver: Embarrassingly Parallel strategies on NISQ

Abstract:Variational Quantum Eigensolver requires many circuit executions, making it ideal for distributed parallelization. However, heterogeneous noise in NISQ devices can skew results and efficiency. Using the CUNQA platform for emulation of virtual QPUs, we evaluate three embarrassingly parallelization strategies (shot-level, circuit-level for gradients and observables and candidate level for population-based optimizers) across metrics like speedup and accuracy.

arXiv:2608.19824 [quant-ph]

(or arXiv:2608.19824v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2608.19824 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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