Q-LINK: Quantum Layerwise Information Residual Network via a Messenger Qubit for Barren Plateaus Mitigation
Zhehao Yi, Rahul Bhadani

TL;DR
This paper introduces Q-LINK, a quantum circuit architecture with a messenger qubit that mitigates barren plateaus in VQAs, enhancing optimization and convergence without sacrificing expressibility.
Contribution
The authors propose a residual-inspired quantum circuit with a messenger qubit that significantly improves gradient variance and convergence in VQAs.
Findings
Q-LINK increases gradient variance by up to two orders of magnitude.
Q-LINK accelerates convergence by 4-6 times compared to vanilla models.
Expressibility remains largely unchanged with Q-LINK.
Abstract
In hybrid classical-quantum computing, variational quantum algorithms (VQAs) have emerged as a promising approach in the Noisy Intermediate-Scale Quantum (NISQ) era; however, their performance is often hindered by barren plateaus, where gradients vanish exponentially, rendering optimization ineffective. In this work, we introduce a residual-inspired quantum circuit architecture that incorporates a single messenger qubit, referred to as Q-LINK. By conducting numerical simulations on random quantum states, we observe that Q-LINK significantly enhances optimization behavior by sustaining larger gradient variance and accelerating convergence. Additionally, Q-LINK improves convergence efficiency by 4-6 times and increases gradient variance by up to two orders of magnitude compared with the Vanilla model. To further characterize the impact of the proposed structure, we analyze the…
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