两味施温格模型变分量子模拟中可表达性、对称性保护与硬件噪声的分离
Disentangling Expressibility, Symmetry Protection, and Hardware Noise in Variational Quantum Simulation of the Two-Flavor Schwinger Model
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中文总结 AI 辅助
该研究将两味施温格模型的变分量子模拟从N=2扩展到6个格点,发现硬件噪声是主要限制,并确定N=3为可行扩展;同时给出可表达性条件,并揭示电荷守恒对可训练性的保护及噪声模型对跃迁退化的决定性作用。
中文摘要 AI 辅助
现有的两味施温格模型量子模拟仅在单一晶格尺寸下进行,尚不清楚变分方法能推进到何种程度,以及哪种弱点会首先导致其失效。通过将该模型从N=2推进到6个交错晶格位点,我们发现,在可达尺寸下,限制因素是硬件噪声,而非电路可表达性或可训练性,并确定N=3是现有离子阱实验可立即扩展的可行尺寸。电荷守恒拟设的能量误差坍缩为p/d(变分参数与物理扇区维度之比)的单一函数,并且当p/d升至数量级1时,误差下降超过两个数量级,从而给出L(4N-1) >= binom(2N,N)的可表达性条件(其中L为电路层数)。该条件在化学势上是局部的:在N=3时,零化学势下足够的层数在一阶边界附近留下74.38%的误差,而再增加一层则达到0.08%。电荷守恒还保护了可训练性并防止电荷扇区泄漏:当量子比特数从4翻倍至8时,约束拟设的归一化梯度方差降至其初始值的1/3.56,而无约束电路则为1/13.57。通过比较全局收缩与逐门局部噪声,一个固定参数对照表明,是噪声模型(而非优化器是否在含噪循环内运行)决定了噪声对一阶跃迁的退化程度。在N=4时,无噪声对照达到0.12%的平均误差,而相同电路在1.00%去极化噪声下则达到25.69%至52.81%。
英文摘要
Existing quantum simulations of the two-flavor Schwinger model have run at a single lattice size, and it is not known how far the variational approach can be pushed or which weakness stops it first. Following the model from N = 2 to 6 staggered lattice sites, we find that the binding constraint at reachable sizes is hardware noise rather than circuit expressibility or trainability, and identify N = 3 as the immediately viable extension of existing trapped-ion experiments. The energy error of a charge-conserving ansatz collapses onto one function of p/d, the ratio of variational parameters to physical-sector dimension, and falls by more than two orders of magnitude as p/d rises through order unity, giving the expressibility condition L(4N - 1) >= binom(2N,N) for L circuit layers. The condition is local in chemical potential: at N = 3 the layer count sufficient at zero chemical potential leaves a 74.38% error near the first-order boundary, while one further layer reaches 0.08%. Charge conservation also protects trainability and prevents charge-sector leakage: as the qubit count doubles from 4 to 8, the normalized gradient variance falls to 1/3.56 of its starting value for the constrained ansatz, versus 1/13.57 for an unconstrained circuit. Comparing a global contraction with per-gate local noise, a fixed-parameter control shows that the noise model, not whether the optimizer runs inside the noisy loop, sets how strongly noise degrades the first-order transition. At N = 4, a noiseless control reaches 0.12% mean error, whereas the same circuit at 1.00% depolarizing noise reaches 25.69 to 52.81%.
发表机构
- PES University(PES大学)
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