A quantum error-correcting code's logical operators, taken modulo its stabilizers, form a finite abelian group; that group, not any single number, is the code's logical identity. We identify the group as one mathematical object across a divide usually treated as fundamental: the cokernel of an integer matrix, read off its Smith normal form. For a Gottesman–Kitaev– Preskill bosonic code the matrix is an integral symplectic Gram matrix and the cokernel is Q 2 (Z/d i Z) ; for a quantum low-density-parity-check digital code the matrix is a boundary i map and the cokernel is its first homology; the reading is the same computation, and code concatenation is the cokernel of a direct sum, so the two Smith normal forms simply concatenate. Because the cokernel is the complete invariant of the two-sided unimodular action, a code's logical group is certified by verifying a witness rather than by trusting a table: a prover supplies (U, D, V ) and a checker re-derives U AV = D in pure integer arithmetic. Every result is checked in Lean 4, and its load-bearing arithmetic is reproved in a second, toolchain-disjoint Cubical Agda kernel from the Peano axioms up. We prove that the group order alone is an incomplete invariant—(Z/2Z)4 and (Z/4Z)2 share order sixteen but differ in two-torsion—give an analog-weighted decoder whose correctable region provably exceeds the hard-decision region because the soft metric widens the distance, and expose the entire certified construction inside a live PennyLane and Strawberry Fields workflow, the software and hardware setting of a photonic fault-tolerant program built on exactly this concatenation. Published by The Institute for Applied Ontological Mathematics.
A quantum error-correcting code's logical operators, taken modulo its stabilizers, form a finite abelian group; that group, not any single number, is the code's logical identity. We identify the group as one mathematical object across a divide usually treated as fundamental: the cokernel of an integer matrix, read off its Smith normal form. For a Gottesman–Kitaev– Preskill bosonic code the matrix is an integral symplectic Gram matrix and the cokernel is Q 2 (Z/d i Z) ; for a quantum low-density-parity-check digital code the matrix is a boundary i map and the cokernel is its first homology; the reading is the same computation, and code concatenation is the cokernel of a direct sum, so the two Smith normal forms simply concatenate. Because the cokernel is the complete invariant of the two-sided unimodular action, a code's logical group is certified by verifying a witness rather than by trusting a table: a prover supplies (U, D, V ) and a checker re-derives U AV = D in pure integer arithmetic. Every result is checked in Lean 4, and its load-bearing arithmetic is reproved in a second, toolchain-disjoint Cubical Agda kernel from the Peano axioms up. We prove that the group order alone is an incomplete invariant—(Z/2Z)4 and (Z/4Z)2 share order sixteen but differ in two-torsion—give an analog-weighted decoder whose correctable region provably exceeds the hard-decision region because the soft metric widens the distance, and expose the entire certified construction inside a live PennyLane and Strawberry Fields workflow, the software and hardware setting of a photonic fault-tolerant program built on exactly this concatenation. Published by The Institute for Applied Ontological Mathematics.
Four questions sit at the base of fault-tolerant quantum computing: whether a code with given parameters can exist, whether two circuits denote the same operation, how much entropy a measurement irreversibly produces, and whether a compiled gate still means what it should. They are normally answered by four disjoint techniques. We show they are one technique. In each case the answer is an invariant—the object a governing transformation leaves fixed—and that invariant can be held as a certificate a proof kernel checks and an operator-native substrate computes. The instruments are the quantum weight enumerator, whose shadow variant yields what is, to our knowledge, the first machine-checked nonexistence certificate for a quantum error-correcting code (no pure [[4, 1, 3]] stabilizer code, reduced to an integer impossibility); the spider normal form, unique both as a linear map and as a content-addressed tree, at the minimal axiomatic footprint of a proof assistant; the measurement boundary defect, whose logical entropy equals a kernel-counted cohomology dimension; and the reduction receipt, round-tripping a certified gate word to bare metal on two independent substrates. Everything downstream of the explicitly labelled modeling step in each domain is exact integer or rational arithmetic. The common shape—find the invariant the transformation fixes, and read it off as a certificate—turns four hard quantum questions into arithmetic a machine can hold. Published by The Institute for Applied Ontological Mathematics.
We study a class of quantum error-correcting codes through the geometry of complex abelian varieties. These codes, introduced by Gottesman--Kitaev--Preskill, are built from symplectically integral lattices and therefore naturally define polarized complex abelian varieties. We give a precise mathematical formulation of this relationship and extend it to a dictionary between the main structures of GKP code theory and classical objects in the theory of abelian varieties. For instance, under this dictionary, the finite-dimensional code space becomes the space of theta functions H0(X,L), logical Pauli gates arise from the theta group, passive logical Clifford gates correspond to automorphisms of the polarized abelian variety, and concatenation with stabilizer codes corresponds to isogeny. We also prove several key results that give precise mathematical formulations of statements about these codes that often appear in heuristic form in the physics literature. In particular, we prove that the encoding is asymptotically isometric, that every logical Clifford gate is realized by a Gaussian unitary, and that, for noise of small variance, the failure probability is governed to first order by the shortest nontrivial displacement in the kernel of the polarization isogeny, a systolic invariant of the underlying polarization. This leads naturally to optimization problems on the moduli space of polarized abelian varieties.
A CSS quantum error-correcting code is, on the nose, a length-three chain complex over F2 : the commutation law HZ H⊤ X = 0 that makes the code valid is exactly the condition ∂ 2 = 0 that makes a chain complex. We take this identification literally and show that the entire working theory of a quantum code is one homological object the same engine computes, at scale, and certifies. The number of logical qubits is the first Betti number, k = dim H1 = n − rank HX − rank HZ = b1 ; the code distance is the systole, the shortest non-contractible cycle. We reproduce the published parameters of state-of-the-art codes exactly—the toric and hypergraph-product families and the IBM bivariate-bicycle codes [[72, 12, 6]], [[144, 12, 12]], [[90, 8, 10]]—cross-validated four independent ways and kernelcertified for the small cases in Cubical Agda, on CPU and GPU. The two scale certificates—the Betti count b1 and the rank-derived logical count k—are themselves kernel-proved to be a single first-homology certificate (a DescentCertificate both readings factor through), closed terminally through a fixed-point engine. We then run the code, not just measure it. (i) The Union-Find decoder is the engine's connected-components reduction, and "a logical error occurred" is the engine's coboundary decision (the residual cycle has nonzero winding); decoding the toric code at growing distance recovers the accuracy threshold near 9.5%, and the optimal (maximum-likelihood) threshold near 11% is the engine's two homology sectors competing as the domain-wall free energy of a random-bond Ising model on the Nishimori line. (ii) A code's distance scaling is its Tanner-graph spectral expansion: the second eigenvalue λ2 versus the Ramanujan bound is a computable certificate (Sipser–Spielman), exact on the topological tier where the spectral gap obeys γ d2 → 4π 2 . (iii) The full chain complex carries metachecks—redundancies among the parity checks—and we compute them: the bivariate-bicycle codes have six, the engines of single-shot error correction; the 4-dimensional toric code's homology (1, 4, 6, 4, 1), with k = b2 = 6, is the tensor of four circle complexes. (iv) The logical error-rate prefactor is the multiplicity of the systole, A = 2L for the toric code, which we compute exactly. (v) Finally the engine measures a topological phase transition: as random noise thickens, torus-wrapping "giant" cycles appear in a sharp homological-percolation transition at pc ≈ 0.5 that sharpens with system size—the same homology machinery now detecting when noise spontaneously writes a logical operator. (vi) The engine runs over any coefficients: qudit (Fp ) codes are chain complexes over Fp , and the integral homology, computed by the Smith normal form, exposes torsion—so a code's logical-qudit count can depend on the qudit dimension, an extra logical appearing exactly when p divides a torsion coefficient (reproducing the known homology of the torus, the Moore spaces, the Klein bottle, and RP2 ). We are careful to fence what is not claimed: minimum distance is NP-hard in general and we compute it only on the systolic tier; the giant-cycle transition is the random-cluster one, distinct from the maximum-likelihood decoding threshold of the random-bond Ising model. The thesis is singular and operational: a quantum code's parameters, its decoder, its quality, its higher-dimensional structure, its performance prefactor, and its phase transition are not six theories but one—homology you can run. Published by The Institute for Applied Ontological Mathematics.
We connect the structure theorem for quasiprobability representations to quantum error correction. For a code space invariant under a subgroup of an extended Weyl-Heisenberg group, the Brif-Mann construction gives a semi-functorial representation whenever its kernel satisfies the Stratonovich-Weyl axioms, and composes on channels covering full error-correction cycles. With phase-space parity available, a kernel other than the ordinary Wigner one exists iff the code space is invariant under a lattice of displacements: among compact-phase-space bosonic codes, this is only the ideal Gottesman-Kitaev-Preskill family; in finite dimension, this is every qudit stabiliser code, whose negative volume for odd prime dimension is the syndrome-averaged logical magic. For rotation-symmetric, one-photon, non-Pauli qudit and spin codes only the ordinary kernel remains, its negativity reflecting the physical carrier, not logical content; a sector-graded representation built from recovery isometries restores a resource reading. We add a channel atlas, a closed-form magic lifetime under displacement noise, a Kirkwood-Dirac layer, and finite-energy corrections.
Quantum low-density parity-check (qLDPC) codes reduce the qubit overhead of fault-tolerant quantum computation by an order of magnitude, but their decoding is harder than its classical counterpart: because many physical errors are equivalent up to stabilizers, the degenerate maximum-likelihood (ML) decoder must compare the probabilities of entire equivalence classes of errors, that is, partition functions, rather than single errors. The workhorse decoder BP+OSD sidesteps degeneracy heuristically and offers no guarantees. We treat degenerate decoding as probabilistic inference in an undirected graphical model: the probability of each logical class is the partition function of an unconstrained, strictly positive Markov random field over the code's check variables, a construction that generalizes the random-bond Ising mapping of the surface code to arbitrary CSS codes and to spacetime decoding with measurement errors and circuit-level noise. On this model we build two decoders. The first estimates all class partition functions by annealed importance sampling with common random numbers and attaches to every decision a certificate of optimality: a paired bootstrap test, or, composed with constant-factor estimators such as WISH, an exact optimality proof. The second is region-based: the Bethe free energy, whose bias cancels between classes, reproduces exact ML decoding on every tested surface-code instance at millisecond cost, and enlarging the regions to elimination clusters makes exact degenerate ML decoding of the [[72,12,6]] bivariate bicycle code feasible. Across surface codes and the bivariate bicycle codes [[72,12,6]] and [[144,12,12]], under code-capacity, phenomenological, and circuit-level noise, the sampling decoder matches or exceeds BP+OSD while certifying the bulk of its decisions, and the certificate flags exactly the syndromes on which any fast decoder should be distrusted.
Computing the distance of a stabilizer code is NP-hard, yet certifying the distance of a given code needs no search at all — only two one-sided certificates that meet. An upper bound is a single explicit logical operator: one vector, checked in milliseconds against the actual check matrix — it commutes with every stabilizer, it is provably outside their span, and it acts on exactly w qubits. A lower bound is a universal statement — no logical operator lives below weight w — discharged by a finite scan whose completeness is itself a theorem, not a convention: a reconstruction lemma proves that every light Pauli vector appears in the scanned list, so the scan quantifies over the whole space rather than over a table someone chose. When the two certificates touch, the distance is exact, and the receipt can be replayed by a referee who trusts neither the authors nor their software. We build this bracket calculus over the binary symplectic carrier, close it exactly on the classical menagerie — the five-qubit perfect code, Steane, Shor, the distance-three rotated surface code, and the 3 × 3 toric code — and report an instructive refutation: our own frozen reference data claimed distance at least 2 for a punctured code fragment, and the certificate layer produced an explicit weight-one logical operator. Puncturing buys a logical qubit and leaves it bare; the count and the distance are independent shadows of the same subgroup lattice. The same prover-proposes/kernel-disposes architecture certifies logical counts at bivariate-bicycle scale (k = 12 at n = 144) from change-of-basis rank certificates checked in linear time, and every number in the system wears a two-valued trust badge whose semantics is an event, not a citation: no kernel run on your instance, no badge. The results are proved in a machine-checked formal kernel. Published by The Institute for Applied Ontological Mathematics.