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Error Mitigation Nisq Performance

Preventing Barren Plateaus in Continuous Quantum Generative Models

arXiv
Authors: Olli Hirviniemi, Afrad Basheer, Thomas Cope

Year

2026

Paper ID

161

Status

Preprint

Abstract Read

~2 min

Abstract Words

93

Citations

N/A

Abstract

Recent developments in the field of variational quantum circuits (VQCs) have shifted the prerequisites for trainability for many barren plateau-free models onto the data encoding state fed into a classically trainable unitary. By strengthening proofs relating to small-angle initialisation, we provide a full circuit model which does not suffer from barren plateaus and is robust against current classical simulation techniques, specifically tensor network contraction and Pauli propagation. We propose this as a quantum generative model amenable towards NISQ devices and quantum-classical hybrid models, raising new questions in the debate regarding usefulness of VQCs.

Why This Paper Matters

  • This paper contributes to the Error Mitigation & NISQ Performance research area in the Quantum Articles archive.
  • It adds a 2026 reference point for readers tracking recent quantum research.
  • Recent developments in the field of variational quantum circuits (VQCs) have shifted the prerequisites for trainability for many barren plateau-free models onto the data...

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References & Citation Signals

[1] DOI https://doi.org/arXiv:2602.10049 [2] arXiv https://arxiv.org/abs/2602.10049 [3] Publisher https://arxiv.org/abs/2602.10049

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