Uniform Diagonalization Theorem for Complexity Classes of Promise Problems including Randomized and Quantum Classes
Friederike Anna Dziemba

TL;DR
This paper generalizes the Uniform Diagonalization Theorem to promise problems, including randomized and quantum classes, enabling the construction of problems outside these classes and exploring their structural properties.
Contribution
It extends the theorem to promise problems with total decidability, allowing analysis of intermediate and undecidable problems across various complexity class pairs.
Findings
Existence of intermediate problems like between BQP and QMA
Undecidability results for class containment problems
Applicability to a wide range of complexity class pairs
Abstract
Diagonalization in the spirit of Cantor's diagonal arguments is a widely used tool in theoretical computer sciences to obtain structural results about computational problems and complexity classes by indirect proofs. The Uniform Diagonalization Theorem allows the construction of problems outside complexity classes while still being reducible to a specific decision problem. This paper provides a generalization of the Uniform Diagonalization Theorem by extending it to promise problems and the complexity classes they form, e.g. randomized and quantum complexity classes. The theorem requires from the underlying computing model not only the decidability of its acceptance and rejection behaviour but also of its promise-contradicting indifferent behaviour - a property that we will introduce as "total decidability" of promise problems. Implications of the Uniform Diagonalization Theorem are…
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Taxonomy
TopicsComplexity and Algorithms in Graphs · Computability, Logic, AI Algorithms · Advanced Graph Theory Research
