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Improved Lower Bounds for QAC0

Quantum Physics · Submitted 16 Dec 2025

Pith's verdict: First depth-3 PARITY lower bound for QAC^0 with unlimited ancillae, plus a tight depth-2 influence bound; the main proofs are solid, but Lemma 4.10 has a real ancilla-initialization gap that needs fixing.

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arXiv ID2512.14643 (version 4)
Pith IDNN43PNFZ, Pith's permanent record of this paper and its review
CitationAvishay Tal, Francisca Vasconcelos, John Wright, Malvika Raj Joshi. "Improved Lower Bounds for QAC0." arXiv:2512.14643 (2025). https://pith.science/paper/NN43PNFZ
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Referee report
The paper

The paper claims

The paper proves that depth-3 QAC^0 circuits cannot compute PARITY even with unlimited ancillae and gates, that depth-2 QAC^0 circuits have total influence only O(log n), and that depth-2 circuits cannot exactly synthesize generalized nekom

The reading

This paper establishes the strongest known fixed-depth lower bounds for QAC^0, the constant-depth quantum circuit class with unbounded fan-in gates and polynomial ancillae. Its main claim is that PARITY, the function that classical depth-2 circuits can compute with exponential size, cannot be computed exactly by any depth-3 QAC^0 circuit regardless of size. It also shows that depth-2 QAC^0 circuits have total influence only O(log n), making their correlation with PARITY exponentially small, and that no depth-2 circuit can exactly prepare a generalized nekomata state on more than four targets. The proof method is a classical AC^0 simulation of cleaned-up shallow quantum circuits via quantum restrictions and activation functions.

What carries the argument

The load-bearing object is the reflection-gate normal form G(S) = I - 2|theta><theta|_S for Toffoli-type gates, together with activation functions f_{C,Pi}(x) = [Pi C(x) != 0] that track whether a projector sees the state. The clean-up lemma converts any depth-d PARITY or MAJORITY circuit into one whose first layer depends on at most one input per gate, using superpositions of classical restrictions that keep the function invariant. Block diagonalization of the final gate then lets the output be expressed as a DNF/CNF over activation functions, giving an AC^0 simulation. For depth 2, the proof analyzes the mixed state entering the final gate via a matrix Fourier decomposition rho_x = sum_R (

Extended reading notes

Core claim

The central discovery is that shallow QAC^0 circuits, despite unbounded fan-in gates and unlimited ancillae, are classically tame: after a cleanup step that restricts inputs to a subspace while preserving PARITY or MAJORITY, every layer-1 gate touches at most one input, and the final output can be simulated by a depth-3 classical AC^0 circuit of polynomial size. In depth 2, a second structural result bounds the total influence of the acceptance probability by O(log n) regardless of ancillae, via a matrix Fourier decomposition and entropy arguments. This yields correlation at most exp(-Omega(sqrt(n))) with PARITY, and a separate argument shows that no depth-2 circuit can exactly synthesize a

Load-bearing premise

The size-independent depth-3 PARITY bound rests on Lemma 4.10, which asserts that in a cleaned-up depth-2 circuit one global assignment of all input bits can be chosen so that fixing any one coordinate kills at most two non-trivial second-layer gates; if that lemma fails, the proof reduces to the weaker sub-exponential bound.

Editorial extensions

If this is right

  • If the main theorem is correct, depth-3 QAC^0 circuits cannot compute PARITY exactly on more than a constant number of inputs, even with unlimited ancillae, so the open question of whether quantum fan-out belongs to QAC^0 remains closed at this depth.
  • Depth-2 QAC^0 circuits cannot approximate PARITY or any high-influence Boolean function with non-negligible advantage; their acceptance functions are Fourier-concentrated with total influence O(log n).
  • MAJORITY requires at least exp(Omega(sqrt(n))) gates in depth-3 QAC^0, so polynomial-size depth-3 QAC^0 circuits cannot compute MAJORITY.
  • Depth-2 QAC^0 circuits cannot exactly prepare generalized nekomata states on n > 4 targets, ruling out the exact analog of the known approximate construction at the same depth.
  • Approximating PARITY with 1/polylog(n) advantage in QAC^0 is as hard as computing it exactly, so extending the depth-3 exact lower bound to higher depths would also rule out approximate PARITY circuits.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • The AC^0 simulation of shallow quantum circuits suggests a QAC^0 analogue of the switching lemma: if the monotonicity obstruction at depth 3 can be bypassed, similar size-independent lower bounds may hold for depths beyond 3.
  • The O(log n) total influence bound is tight up to constants, as the Tribes function is depth-2 QAC^0 with influence Theta(log n); a natural testable extension is whether the Fourier tail bound can be sharpened to match classical AC^0-style exp(-Omega(k^{1/(d-1)})) tails at higher depths.
  • Because approximate PARITY with inverse-polylogarithmic advantage reduces exactly to PARITY, a single explicit depth-4 construction computing PARITY would refute the paper's conjecture; checking recursive small-depth constructions may be the fastest route to a counterexample.
Original abstract

In this work, we prove the strongest known lower bounds for QAC$^0$, allowing polynomially many gates and ancillae. Our main results show that: (1) Depth-3 QAC$^0$ circuits cannot compute PARITY, and require $\Omega(\exp(\sqrt{n}))$ gates to compute MAJORITY. (2) Depth-2 circuits cannot approximate high-influence Boolean functions (e.g., PARITY) with non-negligible advantage, regardless of size. We develop new classical simulation techniques for QAC$^0$ to obtain our depth-3 bounds. In these results, we relax the output requirement of the quantum circuit to a single bit, making our depth $2$ approximation bound stronger than the previous best bound of Rosenthal (2021). This also enables us to draw natural comparisons with classical AC$^0$ circuits, which can compute PARITY exactly in depth $2$ (exp size). Our techniques further suggest that, for boolean total functions, constant-depth quantum circuits do not necessarily provide more power than their classical counterparts. Our third result shows that depth $2$ QAC$^0$ circuits, regardless of size, cannot exactly synthesize an $n$-target nekomata state (a state whose synthesis is directly related to the computation of PARITY). This complements the depth $2$ exponential size upper bound of Rosenthal (2021) for approximating nekomatas (which is used as a sub-circuit in the only known constant depth PARITY upper bound). Finally, we argue that approximating PARITY in QAC0, with significantly better than 1/poly(n) advantage on average, is just as hard as computing it exactly. Thus, extending our techniques to higher depths would also rule out approximate circuits for PARITY and related problems

The compiled record

The paper's own sentences, arranged, kept beside the review and separate from it. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 8,413 input tokens.

What the abstract itself states, as probabilities: claims first 0.07 · states limitation 0.52 · human participants 0.01 · controlled comparison 0.21 · randomized assignment 0.01 · states quantitative result 0.98 · compares with prior results 0.98 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v4. Results and the main claim are underlined; .

In this work, we prove the strongest known lower bounds for QAC$^0$, allowing polynomially many gates and ancillae. Our main results show that: (1) Depth-3 QAC$^0$ circuits cannot compute PARITY, and require $\Omega(\exp(\sqrt{n}))$ gates to compute MAJORITY. (2) Depth-2 circuits cannot approximate high-influence Boolean functions (e.g., PARITY) with non-negligible advantage, regardless of size. We develop new classical simulation techniques for QAC$^0$ to obtain our depth-3 bounds. In these results, we relax the output requirement of the quantum circuit to a single bit, making our depth $2$ approximation bound stronger than the previous best bound of Rosenthal (2021). This also enables us to draw natural comparisons with classical AC$^0$ circuits, which can compute PARITY exactly in depth $2$ (exp size). Our techniques further suggest that, for boolean total functions, constant-depth quantum circuits do not necessarily provide more power than their classical counterparts. Our third result shows that depth $2$ QAC$^0$ circuits, regardless of size, cannot exactly synthesize an $n$-target nekomata state (a state whose synthesis is directly related to the computation of PARITY). This complements the depth $2$ exponential size upper bound of Rosenthal (2021) for approximating nekomatas (which is used as a sub-circuit in the only known constant depth PARITY upper bound). Finally, we argue that approximating PARITY in QAC0, with significantly better than 1/poly(n) advantage on average, is just as hard as computing it exactly. Thus, extending our techniques to higher depths would also rule out approximate circuits for PARITY and related problems

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 In this work, we prove the strongest known lower bounds for QAC$^0$, allowing polynomially many gates and ancillae. contribution 0.90 0.96 0.64 asserted 1.00
s1 Our main results show that: (1) Depth-3 QAC$^0$ circuits cannot compute PARITY, and require $\Omega(\exp(\sqrt{n}))$ gates to compute MAJORITY. result 0.99 0.95 0.72 asserted 1.00
s2 (2) Depth-2 circuits cannot approximate high-influence Boolean functions (e.g., PARITY) with non-negligible advantage, regardless of size. result 1.00 0.90 0.30 asserted 1.00
s3 We develop new classical simulation techniques for QAC$^0$ to obtain our depth-3 bounds. method 0.92 0.95 0.03 asserted 1.00
s4 In these results, we relax the output requirement of the quantum circuit to a single bit, making our depth $2$ approximation bound stronger than the previous best bound of Rosenthal (2021). contribution 0.67 0.89 0.10 asserted 1.00
s5 This also enables us to draw natural comparisons with classical AC$^0$ circuits, which can compute PARITY exactly in depth $2$ (exp size). interpretation 0.81 0.26 0.04 asserted 0.96
s6 Our techniques further suggest that, for boolean total functions, constant-depth quantum circuits do not necessarily provide more power than their classical counterparts. interpretation 0.99 0.67 0.17 hedged possibility 1.00
s7 Our third result shows that depth $2$ QAC$^0$ circuits, regardless of size, cannot exactly synthesize an $n$-target nekomata state (a state whose synthesis is directly related to the computation of PARITY). result 1.00 0.93 0.12 asserted 1.00
s8 This complements the depth $2$ exponential size upper bound of Rosenthal (2021) for approximating nekomatas (which is used as a sub-circuit in the only known constant depth PARITY upper bound). background 0.59 0.10 0.05 asserted 1.00
s9 Finally, we argue that approximating PARITY in QAC0, with significantly better than 1/poly(n) advantage on average, is just as hard as computing it exactly. result 0.72 0.81 0.12 asserted 0.90
s10 Thus, extending our techniques to higher depths would also rule out approximate circuits for PARITY and related problems future work 0.51 0.50 0.10 hedged possibility 0.69

What kind of paper the classifier reports this is: theoretical result 1.00 · evidence from proof or derivation 1.00.

What was examined, and what was not

sources read
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not examined
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  • figures and tables
  • references and citing sentences
  • relations to other papers
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  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

Figures
Figure 1. QAC0 circuit computing f(x). The circuit takes in a n-qubit classical input corresponding to the string x ∈ {0, 1} n. Each ancilla starts in a fixed state |0⟩. At the end of the circuit, the state on a designated output register contains the answer |f(x)⟩. Each qubit can belong to at most one gate per layer and there are no locality based constraints on multi-qubit gates, thus, the illustrated circuit has depth 4. where | ⃗θ⟩S is a separable state across all of S. Note that this gate is simply a reflection about the state | ⃗θ⟩S and is a unitary with eigenvalues ±1. We use the vect
Figure 2. Clean-up of a gate G with more than 3 input qubits. The restriction fixes the state of |xi⟩ |xj ⟩ to |φ⟩ i,j in a way that deactivates the gate G. Then, the restriction to |φ⟩ i,j is equivalent to applying a CNOT gate on the separable initial ancillae state |µ⟩ |1⟩. 4.2 AC0 Simulation of Projectors After Layer One After the clean-up in Lemma 4.1, the state after the first layer of the circuit is separable across all input qubits, and has the following form, C(x) = |ψ0⟩B0 ⊗  O i∈[n] |ψi(xi)⟩Bi   (21) where |ψi(xi)⟩Bi is a state on qubits Bi in layer-1 gate containing inpu

Figures reproduced from arXiv:2512.14643 by the authors.

References
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4 arXiv papers cite this in 9 sentences

Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

Papers citing it · 5 sentences without a confident label

Uses its method or tool 1 paper
Cites it as background 3 papers
  • Even just the past few years have seen impressive developments in understanding the limitations of these models through the lens of pseudorandom generators [ref] (see also the survey [ref] ), extractors [ref] , and quantum analogs [ref] .[This is only a minute fraction of contemporary work, and we encourage the interested reader to consult references within those cited.]

    Hard-to-Sample Distributions from Robust Extractors · Introduction · 0.89

  • Since its introduction, $$ has been studied extensively [ref] .

    On the Computational Power of Geometrically Local QAC circuits · Introduction · 0.99

  • Since the gate can straightforwardly be used to compute the GHZ/CAT state, most of the literature on versus has focused on synthesis of GHZ states and its variants [ref] .

    Constant-Depth Unitary Preparation of Dicke States · Introduction · 0.92

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Discussion

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