On the Satisfiability of Quantum Circuits of Small Treewidth
Mateus de Oliveira Oliveira

TL;DR
This paper extends classical treewidth-based algorithms to quantum circuits, showing that certain quantum circuit problems are efficiently solvable or hard depending on the treewidth, revealing the complexity landscape of quantum satisfiability.
Contribution
It introduces the first algorithms for quantum circuit satisfiability based on treewidth and characterizes the complexity of these problems, bridging classical and quantum computational complexity.
Findings
Polynomial-time algorithm for quantum circuits with constant treewidth and small error.
NP-completeness of quantum satisfiability for circuits with logarithmic treewidth.
QMA-completeness of quantum circuit satisfiability with logarithmic treewidth.
Abstract
It has been known for almost three decades that many -hard optimization problems can be solved in polynomial time when restricted to structures of constant treewidth. In this work we provide the first extension of such results to the quantum setting. We show that given a quantum circuit with uninitialized inputs, gates, and treewidth , one can compute in time a classical assignment that maximizes the acceptance probability of up to a additive factor. In particular, our algorithm runs in polynomial time if is constant and . For unrestricted values of , this problem is known to be complete for the complexity class , a quantum generalization of MA. In contrast, we show that the same problem is -complete if even…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Complexity and Algorithms in Graphs · Machine Learning and Algorithms
