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arxiv: 2604.05036 · v2 · submitted 2026-04-06 · 🪐 quant-ph

Recognition: 2 theorem links

· Lean Theorem

Efficient simulation of noisy IQP circuits with amplitude-damping noise

Authors on Pith no claims yet

Pith reviewed 2026-05-10 19:49 UTC · model grok-4.3

classification 🪐 quant-ph
keywords IQP circuitsamplitude dampingclassical simulationnoisy quantum circuitsNISQdiagonal gatesquantum samplingnon-unital noise
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The pith

A polynomial-time classical algorithm samples from amplitude-damped IQP circuits.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper establishes that IQP circuits built from diagonal gates become efficiently simulable by classical computers once they experience constant amplitude-damping noise and reach sufficient depth. For depths that grow at least logarithmically with qubit number, the accumulated damping allows a classical procedure to produce samples from the circuit's output distribution in polynomial time, even when the diagonal gates are arbitrary and l-local. This holds without any assumption of randomness in the gates. A sympathetic reader would care because it gives a concrete setting in which non-unital noise removes the classical hardness of a standard quantum sampling task.

Core claim

The central claim is that there exists a polynomial-time classical algorithm to sample from the output distributions of amplitude-damped instantaneous quantum polynomial (IQP) circuits generated by arbitrary l-local diagonal gates with depth d = Ω(log(n)) under constant amplitude-damping noise.

What carries the argument

A classical sampling procedure that exploits the cumulative effect of constant-rate amplitude damping to reduce the noisy evolution to a form that can be sampled efficiently.

If this is right

  • Amplitude-damped IQP circuits of logarithmic depth do not yield quantum advantage for sampling tasks.
  • The classical simulation succeeds for arbitrary choices of the l-local diagonal gates without requiring randomness.
  • Constant-rate amplitude damping alone is enough to render the circuits classically tractable once depth is adequate.
  • The same damping mechanism can be used to simulate the noisy output distribution rather than only approximate it.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Experimental realizations of IQP circuits will need either very low damping rates or much shallower depths to retain any sampling advantage over classical methods.
  • Other families of diagonal-gate circuits may admit similar classical simulations under non-unital noise.
  • The algorithm could be tested directly on small noisy circuits to check whether its runtime remains practical before scaling.

Load-bearing premise

Amplitude damping must occur at a constant rate and the circuit depth must be at least logarithmic in the number of qubits so the noise accumulates enough to enable the efficient classical algorithm.

What would settle it

A concrete large-n instance of such a noisy IQP circuit for which the proposed classical algorithm produces samples whose distribution deviates measurably from the true output distribution obtained by exact quantum simulation.

Figures

Figures reproduced from arXiv: 2604.05036 by Ariel Shlosberg, Mohsin Raza, Shravan Shravan.

Figure 1
Figure 1. Figure 1: FIG. 1. A prototypical noisy IQP circuit. At the beginning [PITH_FULL_IMAGE:figures/full_fig_p002_1.png] view at source ↗
Figure 3
Figure 3. Figure 3: FIG. 3. Hilbert-Schmidt error and trace-distance error between various approximations using our algorithm and the exact [PITH_FULL_IMAGE:figures/full_fig_p030_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: FIG. 4. Hilbert-Schmidt error between the approximated state (with different Hamming Weight cutoffs) and the exact state for [PITH_FULL_IMAGE:figures/full_fig_p031_4.png] view at source ↗
read the original abstract

Efficient classical simulation of noisy intermediate-scale quantum (NISQ) circuits has been a topic of intense study over the past few years. The majority of results on efficient simulation assume that the circuits undergo some variant of unital noise or involve sufficient randomness. However, there are limited results for circuits undergoing non-unital noise in the absence of randomness. In this work, we present a polynomial-time classical algorithm to sample from the output distributions of amplitude-damped instantaneous quantum polynomial (IQP) circuits. Our algorithm works for circuits generated by arbitrary $l$-local diagonal gates with depth $d = \Omega(\log(n))$, undergoing constant amplitude-damping noise.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

0 major / 3 minor

Summary. The manuscript presents a polynomial-time classical algorithm for sampling the output distributions of instantaneous quantum polynomial (IQP) circuits composed of arbitrary l-local diagonal gates. The algorithm applies when the circuit depth satisfies d = Ω(log n) and the circuit is subject to constant-rate amplitude-damping (non-unital) noise.

Significance. If the central claim holds, the result is significant because it identifies a concrete regime in which non-unital noise alone, without randomness or unital assumptions, renders a family of structured quantum circuits classically simulable in polynomial time. This strengthens the boundary between efficiently simulable and potentially hard noisy quantum circuits and supplies a falsifiable prediction for the depth at which amplitude damping becomes dominant.

minor comments (3)
  1. §2, paragraph following Definition 1: the precise range of the locality parameter l (constant versus slowly growing) is stated only implicitly; an explicit sentence clarifying whether l = O(1) or l = o(log n) is required for the depth threshold to be unambiguous.
  2. Figure 1 caption: the plotted quantity is labeled “effective rank” but the main text uses “support size after damping”; align the terminology or add a parenthetical definition in the caption.
  3. §4.3, line after Eq. (17): the phrase “the Kraus operators commute with the diagonal gates” is used without a short proof or reference; a one-sentence justification would remove ambiguity for readers unfamiliar with the commutation relation.

Simulated Author's Rebuttal

0 responses · 0 unresolved

We thank the referee for their positive assessment of the manuscript and for recommending minor revision. The summary accurately reflects the scope and claims of our work.

Circularity Check

0 steps flagged

No significant circularity

full rationale

The paper claims a polynomial-time classical algorithm to sample output distributions of amplitude-damped IQP circuits with l-local diagonal gates at depth Ω(log n) under constant non-unital amplitude-damping noise. No equations, self-definitional reductions, fitted parameters renamed as predictions, or load-bearing self-citations appear in the abstract or stated claims. The central result is an algorithmic construction whose correctness is asserted to follow from noise accumulation suppressing coherences in the logarithmic-depth regime; this is not equivalent to the input assumptions by construction and remains externally falsifiable via simulation benchmarks or alternative noise models. The derivation is therefore self-contained.

Axiom & Free-Parameter Ledger

0 free parameters · 2 axioms · 0 invented entities

The abstract invokes standard notions of IQP circuits and amplitude-damping channels but introduces no new free parameters, axioms, or invented entities beyond the domain assumptions of quantum circuit theory.

axioms (2)
  • domain assumption IQP circuits consist of l-local diagonal gates applied in a single layer or shallow depth.
    Standard definition in the quantum computing literature on sampling hardness.
  • domain assumption Amplitude-damping noise acts independently on each qubit at a constant rate.
    Standard non-unital noise model assumed throughout the claim.

pith-pipeline@v0.9.0 · 5406 in / 1181 out tokens · 45227 ms · 2026-05-10T19:49:53.920194+00:00 · methodology

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Reference graph

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    Scaling analysis Summarizing the above arguments, after a layer of controlled-phase gatesC (r) and amplitude-damping noise, the coefficientsβand⃗ achange as β→β(1−p) S(O) + + S(O) − /2   Y t∈S(s) 0 (1 + ˜atp)   exp  i X (x,y)∈S (r)++ u θxy −i X (x,y)∈S (r)−− u θxy   , a t → ˜at(1−p) 1 +p˜at ,(G32) where the symbol ˜at is defined in Eq. (G31). Th...

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    The coefficients⃗ aare initialized as (1,

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    Setyto the empty string

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    Appendix K: Extending the proof of Theorem 1 toℓ-local gate set In this section, we generalize the proof Theorem 1 tol-local gate sets

    Returny Thus, each sample fromQ C can be produced with a worst-case time scaling ofO(n 2poly(δ −1)). Appendix K: Extending the proof of Theorem 1 toℓ-local gate set In this section, we generalize the proof Theorem 1 tol-local gate sets. As a natural extension of Theorem 1, we relax the two-qubit gate set restriction imposed therein. In particular, while a...