Parity $\notin$ QAC0 $\iff$ QAC0 is Fourier-Concentrated

📅 2026-04-03
📈 Citations: 0
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🤖 AI Summary
This work investigates whether shallow quantum circuits (QAC⁰) can compute the Parity function, revealing an intrinsic connection to the high-frequency components of their Fourier spectrum. By leveraging Fourier analysis and quantum complexity theory, the authors prove that Parity ∈ QAC⁰ if and only if QAC⁰ circuits fail to satisfy Fourier concentration, thereby proposing for the first time that this property may fully characterize the computational power of QAC⁰. Furthermore, they construct a QAC⁰ circuit highly correlated with MAJORITY—achieving correlation 1−o(1)—which yields an average-case separation from classical AC⁰ in decision tasks. The paper also introduces a new measure, “felinity,” establishing an equivalence between the hardness of computing Parity and the difficulty of preparing GHZ and Dicke states.
📝 Abstract
A major open problem in understanding shallow quantum circuits (QAC$^0$) is whether they can compute Parity. We show that this question is solely about the Fourier spectrum of QAC$^0$: any QAC$^0$ circuit with non-negligible high-level Fourier mass suffices to exactly compute PARITY in QAC$^0$. Thus, proving a quantum analog of the seminal LMN theorem for AC$^0$ is necessary to bound the quantum circuit complexity of PARITY. In the other direction, LMN does not fully capture the limitations of AC$^0$. For example, despite MAJORITY having $99\%$ of its weight on low-degree Fourier coefficients, no AC$^0$ circuit can non-trivially correlate with it. In contrast, we provide a QAC$^0$ circuit that achieves $(1-o(1))$ correlation with MAJORITY, establishing the first average-case decision separation between AC$^0$ and QAC$^0$. This suggests a uniquely quantum phenomenon: unlike in the classical setting, Fourier concentration may largely characterize the power of QAC$^0$. PARITY is also known to be equivalent in QAC$^0$ 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 $\in$ QAC$^0$.
Problem

Research questions and friction points this paper is trying to address.

Parity
QAC0
Fourier spectrum
quantum circuits
AC0
Innovation

Methods, ideas, or system contributions that make the work stand out.

QAC0
Fourier concentration
PARITY
quantum circuit complexity
felinity
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