Quantum programmes described through successive approximations need a consistent way to retain their limiting behaviour when individual approximating settings are discarded. I propose a Quantum Cantor–Bendixson Machine that certifies and repairs quantum operations at boundaries of a classical control space. For continuous matrix-valued observables over a compact zero-dimensional metric space and a finite retained boundary, the smallest completely bounded repair cost is exactly twice the largest boundary leakage, and a continuous unital completely positive map attains it. I extend this result to simultaneous finite boundary constraints, identifying when their costs combine without an additional penalty. For independent operations on any finite product of convergent-sequence spaces, a product repair preserves every Cantor–Bendixson derivative, including the infinite intermediate boundaries, at the exact cost already forced by the final boundary. A coherent qubit example establishes why the corresponding cost for a quantum subspace can instead scale as the square root of leakage. Computable operations can have noncomputable optimal repair costs: their possible leakages are exactly the lower semicomputable reals in the unit interval. An explicit tail certificate permits finite bounds and a computable repair arbitrarily close to the optimum. These results specify when one operation can respect several topological reductions, what this consistency costs, and which additional information makes its certification effective.
No takes yet. Share an insight, caveat, or question.
Hutan Ashrafian (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: