Parity $\notin$ QAC0 $\iff$ QAC0 is Fourier-Concentrated
Abstract
A major open problem in understanding shallow quantum circuits (QAC) is whether they can compute Parity. We show that this question is solely about the Fourier spectrum of QAC: any QAC circuit with non-negligible high-level Fourier mass suffices to exactly compute PARITY in QAC. Thus, proving a quantum analog of the seminal LMN theorem for AC is necessary to bound the quantum circuit complexity of PARITY. In the other direction, LMN does not fully capture the limitations of AC. For example, despite MAJORITY having of its weight on low-degree Fourier coefficients, no AC circuit can non-trivially correlate with it. In contrast, we provide a QAC circuit that achieves correlation with MAJORITY, establishing the first average-case decision separation between AC and QAC. This suggests a uniquely quantum phenomenon: unlike in the classical setting, Fourier concentration may largely characterize the power of QAC. PARITY is also known to be equivalent in QAC to inherently quantum tasks such as preparing GHZ states to high fidelity. We extend this equivalence to a broad class of state-synthesis tasks. We demonstrate that existing metrics such as trace distance, fidelity, and mutual information are insufficient to capture these states and introduce a new measure, felinity. We prove that preparing any state with non-negligible felinity, or derived states such as poly(n)-weight Dicke states, implies PARITY QAC.
Source: arXiv:2604.02793v1 - http://arxiv.org/abs/2604.02793v1 PDF: https://arxiv.org/pdf/2604.02793v1 Original Link: http://arxiv.org/abs/2604.02793v1