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Research PaperResearchia:202604.09083

On the Computational Complexity of Geometrically Local QAC0 circuits

Yangjing Dong

Abstract

The computational complexity of $\mathsf{QAC}^0$, which are constant-depth, polynomial-size quantum circuit families consisting of arbitrary single-qubit unitaries and $n$-qubit generalized Toffoli gates, has gained tremendous focus recently. In this work, we initiate the study of the computational complexity of geometrically local $\mathsf{QAC}^0$ circuits, where all the generalized Toffoli gates act on nearest neighbor qubits. We show that any $\mathsf{QAC}^0$ circuit can be exactly simulate...

Submitted: April 9, 2026Subjects: Quantum Physics; Quantum Computing

Description / Details

The computational complexity of QAC0\mathsf{QAC}^0, which are constant-depth, polynomial-size quantum circuit families consisting of arbitrary single-qubit unitaries and nn-qubit generalized Toffoli gates, has gained tremendous focus recently. In this work, we initiate the study of the computational complexity of geometrically local QAC0\mathsf{QAC}^0 circuits, where all the generalized Toffoli gates act on nearest neighbor qubits. We show that any QAC0\mathsf{QAC}^0 circuit can be exactly simulated by a two-dimensional geometrically local QAC0\mathsf{QAC}^0 circuit, i.e., a 2D-QAC0\mathsf{2D\text{-}QAC}^{0} circuit, with a quadratic size blow-up. This implies that QAC0=2D-QAC0\mathsf{QAC}^0 = \mathsf{2D\text{-}QAC}^{0}. We further show that if there existed a QAC0\mathsf{QAC}^0 circuit that computes Parity with a bounded constant error, then for any ε>0\varepsilon > 0, there would exist a 2D-QAC0\mathsf{2D\text{-}QAC}^{0} circuit that exactly computes Parity, with a very "thin" width nεn^\varepsilon. We further study the computational power of 1D-QAC0\mathsf{1D\text{-}QAC}^{0} circuits, i.e., one-dimensional QAC0\mathsf{QAC}^0 circuits, which are the "thinnest" 2D-QAC0\mathsf{2D\text{-}QAC}^{0} circuits. We prove a nearly logarithmic depth lower bound on 1D-QAC0\mathsf{1D\text{-}QAC}^{0} circuits to compute the Parity function, even if allowing an unlimited number of ancilla. Furthermore, if the inputs are encoded in contiguous qubits, we prove that it requires a nearly linear depth 1D-QAC0\mathsf{1D\text{-}QAC}^{0} circuit to compute the Parity function. This lower bound is almost tight. The results are proved via the combination of the restriction argument and the light-cone argument. These results may provide a new angle for studying the computational power of QAC0\mathsf{QAC}^0 circuits and for resolving the long-standing open problem of whether Parity is in QAC0\mathsf{QAC}^0.


Source: arXiv:2604.07178v1 - http://arxiv.org/abs/2604.07178v1 PDF: https://arxiv.org/pdf/2604.07178v1 Original Link: http://arxiv.org/abs/2604.07178v1

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Date:
Apr 9, 2026
Topic:
Quantum Computing
Area:
Quantum Physics
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