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Quantum Optimization

LOTUS: Layer-ordered Temporally Unified Schedules For Quantum Approximate Optimization Algorithms

arXiv
Authors: Phuong-Nam Nguyen

Year

2026

Paper ID

4048

Status

Preprint

Abstract Read

~2 min

Abstract Words

83

Citations

N/A

Abstract

In this paper, we introduce LOTUS (Layer-Ordered Temporally-Unified Schedules), which is a framework that restructures QAOA from a high-dimensional, chaotic search into a low-dimensional dynamical system. By replacing independent layer-wise angles with a Hybrid Fourier-Autoregressive (HFA) mapping, LOTUS enforces global temporal coherence while maintaining local flexibility. LOTUS consistently outperforms standard optimizers, achieving up to a 27.2\% improvement in expectation values over L-BFGS-B and 20.8\% compared with COBYLA. Besides, our proposed method drastically reduces computational costs, requiring over 90\% fewer iterations than methods like Powell or SLSQP.

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  • In this paper, we introduce LOTUS (Layer-Ordered Temporally-Unified Schedules), which is a framework that restructures QAOA from a high-dimensional, chaotic search into a...

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References & Citation Signals

[1] DOI https://doi.org/arXiv:2601.07851 [2] arXiv https://arxiv.org/abs/2601.07851 [3] Publisher https://arxiv.org/abs/2601.07851

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