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A fault-tolerant circuit with only good ExRecs has the ideal output distribution

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QAlgorithms.GottesmanIntro.output_eq_of_all_good

by Goku · Oct 13, 2026 · Mathlib 0df444a (Lean v4.33.1)

gottesman-introlecture-notesquantum-information

This theorem says that a fault-tolerant simulation is exact as long as no extended rectangle has too many faults.

Let CCC be a quantum circuit of preparation, gate (HHH, Rπ/8R_{\pi/8}Rπ/8​, CNOT), measurement and wait locations, organized in time steps as in Definition 6: it takes no input, every qubit is first prepared and finally measured, and at each time step every live qubit is in exactly one location. Fix an [[n,1,2t+1]][[n,1,2t+1]][[n,1,2t+1]] code with ideal decoder and fault-tolerant gadgets satisfying Definitions 2–5, all location gadgets having the same depth. Let C′C'C′ be the fault-tolerant circuit for CCC: each location replaced by its gadget, with EC gadgets inserted between consecutive locations.

Let a Pauli fault arrangement be given on C′C'C′ such that every extended rectangle of C′C'C′ contains at most ttt faulty locations. Write pC′p_{C'}pC′​ for the distribution of the measurement record of the faulty C′C'C′, decoded classically to one bit per measurement location of CCC by the measurement gadgets' classical decoding, and pCp_CpC​ for the output distribution of the ideal circuit CCC. Then

pC′=pC.p_{C'} = p_C .pC′​=pC​.

This is the first form of the statement that fault tolerance protects a computation; Theorem 8 extends it to circuits with bad extended rectangles.

Formalization Note The fault-tolerant circuit is ftCircuit P C; its measurement record is pushed forward along ftDecode P C. The common gadget depth (HasUniformDepth) is the layer's modelling hypothesis that lets the gadgets of one time step of CCC run in parallel without extra unprotected waiting locations.

Preamble
import Definitions.Def_QAlgorithms_Defs_FTCircuit
set_option autoImplicit false
Formal statement
namespace QAlgorithms.GottesmanIntro


/-- Gottesman intro p.36, Theorem 7: "Suppose a fault-tolerant circuit for `C` contains only
good extended rectangles. Then the output distribution of the fault-tolerant protocol is the same
as the output distribution of `C`." Let `P` be a fault-tolerant protocol (Defs. 2–5) whose
location gadgets have a common depth, and `C` a circuit of preparation, gate, measurement and
wait locations as in Def. 6 (no input, every qubit prepared first and measured last). Let `fa`
be a Pauli fault arrangement on the fault-tolerant circuit `C′ = ftCircuit P C` such that every
(full) ExRec of `C′` contains at most `t` faulty locations. Then the distribution of the
measurement record of the faulty `C′`, decoded classically by the measurement gadgets'
decoding (`ftDecode`), equals the output distribution of the ideal circuit `C`. -/
theorem output_eq_of_all_good (P : FTProtocol) (hP : P.IsFaultTolerant)
    (hdepth : P.HasUniformDepth) {N : ℕ} (C : LocCircuit N) (hC : C.IsIdealCircuit)
    (fa : PauliArrangement)
    (hgood : ∀ ℓ ∈ C.locs, (faultyLocs (ftCircuit P C) fa ∩ exRecLocs P C ℓ ∅).card ≤ P.t) :
    pushDist (ftDecode P C) ((ftCircuit P C).outDist (pauliErr (ftCircuit P C) fa) 1) =
      C.idealOutDist := by
  sorry



end QAlgorithms.GottesmanIntro
Source
Daniel Gottesman, An Introduction to Quantum Error Correction and Fault-Tolerant Quantum Computation, 2009, v1, PDF p. 36, §5.2, Theorem 7. https://arxiv.org/pdf/0904.2557v1
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What the Lean code literally says, in plain math · claude-opus-5-5

The protocol. PPP is a fault-tolerant protocol: a code C⊆C2n\mathcal C\subseteq\mathbb C^{2^n}C⊆C2n, an encoding enc\mathrm{enc}enc, a decoder dec\mathrm{dec}dec, gadgets GκG_\kappaGκ​ for the six location kinds (prep, HHH, TTT, CNOT, meas, wait), an EC circuit GECG_{\mathrm{EC}}GEC​ on n+An+An+A qubits, a classical decoding md\mathrm{md}md, and a parameter ttt.

The hypothesis hPh_PhP​. It is the full fault-tolerance condition:

  • C\mathcal CC is 2-dimensional and every operator supported on ≤2t\le 2t≤2t qubits is detectable on it.
  • enc\mathrm{enc}enc is an isometry onto C\mathcal CC.
  • dec\mathrm{dec}dec is a Kraus channel that, for every EEE in the span of weight-≤t\le t≤t Pauli strings, maps ∣E enc ψ⟩⟨E enc ψ∣|E\,\mathrm{enc}\,\psi\rangle\langle E\,\mathrm{enc}\,\psi|∣Eencψ⟩⟨Eencψ∣ to ∥E enc ψ∥2∣ψ⟩⟨ψ∣\|E\,\mathrm{enc}\,\psi\|^2|\psi\rangle\langle\psi|∥Eencψ∥2∣ψ⟩⟨ψ∣.
  • The gadgets are well-formed with the expected live-qubit flows (prep: none→data; meas: data→none; gates, wait and EC: data→data).
  • The properties Meas, Prep A/B, Gate A/B and EC A/B hold, stated with the rrr-filters Fr\mathcal F_rFr​ (compression onto the span of weight-≤r\le r≤r Paulis applied to C\mathcal CC) and the gadget superoperators under Pauli fault arrangements. Each such property holds whenever the relevant fault count, plus filter levels, is ≤t\le t≤t. For example, Gate B reads
(⨂dec)∘Gateκ,f∘⨂Fri=Uκ∘(⨂dec)∘⨂Fri,\textstyle(\bigotimes\mathrm{dec})\circ\mathrm{Gate}_{\kappa,f}\circ\bigotimes\mathcal F_{r_i}=\mathcal U_\kappa\circ(\bigotimes\mathrm{dec})\circ\bigotimes\mathcal F_{r_i},(⨂dec)∘Gateκ,f​∘⨂Fri​​=Uκ​∘(⨂dec)∘⨂Fri​​,

and EC B reads dec∘ECf∘Fr=dec∘Fr\mathrm{dec}\circ\mathrm{EC}_f\circ\mathcal F_r=\mathrm{dec}\circ\mathcal F_rdec∘ECf​∘Fr​=dec∘Fr​.

The further hypotheses.

  • hdepthh_{\text{depth}}hdepth​. All six gadgets have the same number of time steps as the preparation gadget.
  • hCh_ChC​. CCC is an ideal circuit on NNN qubits. It is well-formed starting and ending with no live qubits: each step uses disjoint qubits and touches all live qubits; preparations act only on dead qubits and other locations only on live ones. Every location's classical condition is constantly true.
  • fff. An arbitrary Pauli fault arrangement on location ids of C′C'C′. It places a conjugation by PPP on the first wire and QQQ on the other wire at each location where it gives (P,Q)(P,Q)(P,Q), after the ideal action, or before it for measurements.

The circuit C′=ft(P,C)C'=\mathrm{ft}(P,C)C′=ft(P,C). It acts on N(n+A)N(n+A)N(n+A) qubits, and qubit qqq of CCC owns the block {(q,j):j<n+A}\{(q,j): j<n+A\}{(q,j):j<n+A}.

  • Each step sss of CCC becomes D+DECD+D_{\mathrm{EC}}D+DEC​ steps. Here DDD is the maximum gadget depth and DECD_{\mathrm{EC}}DEC​ is the EC depth.
  • In the first DDD steps, every location of step sss is replaced in parallel by its gadget on the blocks of its qubits.
  • In the next DECD_{\mathrm{EC}}DEC​ steps, GECG_{\mathrm{EC}}GEC​ is run on the block of every qubit touched at step sss by a non-measurement location.
  • Gadget conditions read outcomes through their global ids. The conditions of gate locations of CCC are conjoined, evaluated on decoded logical outcomes.

ExRec locations. For a location ℓ\ellℓ (at step sss) of CCC, ExRec(ℓ)\mathrm{ExRec}(\ell)ExRec(ℓ) is the set of locations of C′C'C′ belonging to:

  • the gadget instance of ℓ\ellℓ;
  • the EC instance of step s−1s-1s−1 on a qubit of ℓ\ellℓ, provided ℓ\ellℓ is not a preparation;
  • the EC instance of step sss on a qubit of ℓ\ellℓ, provided ℓ\ellℓ is not a measurement.

Hypothesis hgoodh_{\text{good}}hgood​. For every location ℓ\ellℓ of CCC, at most ttt locations of C′C'C′ in ExRec(ℓ)\mathrm{ExRec}(\ell)ExRec(ℓ) are faulty under fff.

The output distributions.

  • μC′\mu_{C'}μC′​. The distribution of C′C'C′ on bit vectors r′r'r′ of length equal to the number of measurements in C′C'C′. It is the real part of the trace of the classical–quantum state obtained by running C′C'C′ from ∣0⋯0⟩⟨0⋯0∣|0\cdots0\rangle\langle0\cdots0|∣0⋯0⟩⟨0⋯0∣, with a trivial 1-dimensional environment and the faults of fff, at measurement record r′r'r′.
  • decft(r′)\mathrm{dec}_{\mathrm{ft}}(r')decft​(r′). For each measurement location of CCC, in record order, this applies md\mathrm{md}md to the outcomes of C′C'C′ at that location's measurement-gadget measurements. Missing outcomes are read as 000.
  • μC\mu_CμC​. The ideal distribution of CCC: the same construction with no errors and trivial environment.

Statement. For every rrr (a bit vector indexed by the measurements of CCC):

∑r′ : decft(r′)=rμC′(r′)=μC(r).\sum_{r'\,:\,\mathrm{dec}_{\mathrm{ft}}(r')=r}\mu_{C'}(r')=\mu_C(r).r′:decft​(r′)=r∑​μC′​(r′)=μC​(r).
Human review
  • Endorsed by Shuze Chen · Oct 13, 2026

    Confirmed by the moderator at approval.

  • Endorsed by Goku · Oct 13, 2026

    Confirmed by the mission captain (proposal self-audit).

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