REVIEW
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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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
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
- 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.
The abstract, sentence by sentence
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
| # | sentence | role | the authors' own work | states the main conclusion | strength |
|---|---|---|---|---|---|
| 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 was examined, and what was not
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Figures
Figures reproduced from arXiv:2512.14643 by the authors.
References
How the literature uses it
4 arXiv papers cite this in 9 sentences
Papers citing it · 5 sentences without a confident label
Uses its method or tool 1 paper
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These lower bounds are based on an input-restriction approach, inspired by 's well-known random restriction method [ref] , and the recent work by Joshi, Tal, Vasconcelos, and Wright [ref] .
On the Computational Power of Geometrically Local QAC circuits · Introduction · 0.95
Cites it as background 3 papers
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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
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Since its introduction, $$ has been studied extensively [ref] .
On the Computational Power of Geometrically Local QAC circuits · Introduction · 0.99
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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
What it cites · 5 sentences without a confident label
Compares with 1 paper
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We note that [ref] already provide a tighter bound, in terms of $n$, for in depth-$2$.
Tight bounds on depth-2 QAC-circuits computing parity · Quantum Analog of Restrictions · 0.95
Discussion
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