From estimation of quantum probabilities to simulation of quantum circuits
Hakop Pashayan, Stephen D. Bartlett, and David Gross

TL;DR
This paper explores the classical simulation of quantum circuits, introducing epsilon-simulation as a measure of computational equivalence and analyzing its relationship with other simulation notions like poly-box, revealing complexity distinctions.
Contribution
It defines epsilon-simulation as a robust notion of classical simulation and compares it to poly-box, establishing complexity results for IQP and Clifford circuits under various assumptions.
Findings
Epsilon-simulation is strictly stronger than poly-box under certain assumptions.
IQP and magic-state Clifford circuits are hard to epsilon-simulate but admit a poly-box.
Under sparsity assumptions, epsilon-simulation and poly-box are equivalent.
Abstract
Investigating the classical simulability of quantum circuits provides a promising avenue towards understanding the computational power of quantum systems. Whether a class of quantum circuits can be efficiently simulated with a probabilistic classical computer, or is provably hard to simulate, depends quite critically on the precise notion of "classical simulation" and in particular on the required accuracy. We argue that a notion of classical simulation, which we call epsilon-simulation, captures the essence of possessing "equivalent computational power" as the quantum system it simulates: It is statistically impossible to distinguish an agent with access to an epsilon-simulator from one possessing the simulated quantum system. We relate epsilon-simulation to various alternative notions of simulation predominantly focusing on a simulator we call a poly-box. A poly-box outputs 1/poly…
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