An unholy trinity: TFNP, polynomial systems, and the quantum satisfiability problem
Marco Aldi, Sevag Gharibian, Dorian Rudolph

TL;DR
This paper introduces new subclasses of TFNP based on algebraic geometry and establishes a connection between quantum complexity and TFNP through the Quantum SAT problem with SDR, revealing novel computational hardness results.
Contribution
It defines two new TFNP subclasses, MHS and SFTA, and proves QSAT with SDR is MHS-complete, linking quantum complexity to algebraic geometric principles.
Findings
QSAT with SDR is MHS-complete
SFTA is contained in a zero-error version of MHS
Classical SAT with SDR is easy, quantum QSAT with SDR is hard
Abstract
The theory of Total Function NP (TFNP) and its subclasses says that, even if one is promised an efficiently verifiable proof exists for a problem, finding this proof can be intractable. Despite the success of the theory at showing intractability of problems such as computing Brouwer fixed points and Nash equilibria, subclasses of TFNP remain arguably few and far between. In this work, we define two new subclasses of TFNP borne of the study of complex polynomial systems: Multi-homogeneous Systems (MHS) and Sparse Fundamental Theorem of Algebra (SFTA). The first of these is based on B\'ezout's theorem from algebraic geometry, marking the first TFNP subclass based on an algebraic geometric principle. At the heart of our study is the computational problem known as Quantum SAT (QSAT) with a System of Distinct Representatives (SDR), first studied by [Laumann, L\"auchli, Moessner, Scardicchio,…
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