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Counting, Fanout, and the Complexity of Quantum ACC

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arxiv quant-ph/0106017 v1 pith:DY357IC4 submitted 2001-06-04 quant-ph

classification quant-ph
keywords qaccfanoutgatesquantumclassesclassicaldefineeqacc
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

We propose definitions of $\QAC^0$, the quantum analog of the classical class $\AC^0$ of constant-depth circuits with AND and OR gates of arbitrary fan-in, and $\QACC[q]$, the analog of the class $\ACC[q]$ where $\Mod_q$ gates are also allowed. We prove that parity or fanout allows us to construct quantum $\MOD_q$ gates in constant depth for any $q$, so $\QACC[2] = \QACC$. More generally, we show that for any $q,p > 1$, $\MOD_q$ is equivalent to $\MOD_p$ (up to constant depth). This implies that $\QAC^0$ with unbounded fanout gates, denoted $\QACwf^0$, is the same as $\QACC[q]$ and $\QACC$ for all $q$. Since $\ACC[p] \ne \ACC[q]$ whenever $p$ and $q$ are distinct primes, $\QACC[q]$ is strictly more powerful than its classical counterpart, as is $\QAC^0$ when fanout is allowed. This adds to the growing list of quantum complexity classes which are provably more powerful than their classical counterparts. We also develop techniques for proving upper bounds for $\QACC^0$ in terms of related language classes. We define classes of languages $\EQACC$, $\NQACC$ and $\BQACC_{\rats}$. We define a notion of $\log$-planar $\QACC$ operators and show the appropriately restricted versions of $\EQACC$ and $\NQACC$ are contained in $\P/\poly$. We also define a notion of $\log$-gate restricted $\QACC$ operators and show the appropriately restricted versions of $\EQACC$ and $\NQACC$ are contained in $\TC^0$.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. An unconditional distribution learning advantage with shallow quantum circuits

    quant-ph 2024-11 conditional novelty 7.0 of 10

    Shallow quantum circuits (QNC0) are proven to outperform shallow classical circuits (NC0) as hypothesis classes for PAC distribution learning of a constructed distribution family, with an error advantage of 1/pi.

  2. Query and Depth Upper Bounds for Quantum Unitaries via Grover Search

    quant-ph 2021-11 unverdicted novelty 7.0 of 10

    Any n-qubit unitary can be implemented approximately with Õ(2^{n/2}) oracle queries or exactly with Õ(2^{n/2}) circuit depth via Grover search reductions, with matching lower bounds for certain implementations.

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