Computational Complexity of Model-Checking Quantum Pushdown Systems
Deren Lin, Tianrong Lin

TL;DR
This paper explores the computational complexity of model-checking quantum pushdown systems, extending classical notions to quantum versions, and establishes decidability and hardness results for various model-checking problems.
Contribution
It introduces quantum pushdown systems and quantum Markov chains, and analyzes the decidability and complexity of model-checking these systems against probabilistic logics.
Findings
Model-checking qBPA against PCTL is undecidable.
Model-checking qBPA against bPCTL is decidable and NP-hard.
Provides a reduction from the bounded Post Correspondence Problem.
Abstract
In this paper, we study the problem of model-checking quantum pushdown systems from a computational complexity point of view. We arrive at the following equally important, interesting new results: We first extend the notions of the {\it probabilistic pushdown systems} and {\it Markov chains} to their quantum counterparts, i.e., {\em quantum pushdown system (qPDS)} and {\em quantum Markov chains}, and prove a necessary and sufficient condition for a qPDS to be well formed, also presenting a method to extend the local transition function of a well-formed qPDS to a unitary local time evolution operator. Next, we investigate the question of whether it is necessary to define a quantum analogue of {\it probabilistic computational tree logic} to describe the probabilistic and branching-time properties of the {\it quantum Markov chain}. We study its model-checking question and show that…
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