Fine-grained quantum supremacy based on Orthogonal Vectors, 3-SUM and All-Pairs Shortest Paths
Ryu Hayakawa, Tomoyuki Morimae, Suguru Tamaki

TL;DR
This paper establishes new lower bounds for classical simulation of quantum circuits based on well-known fine-grained complexity conjectures, extending previous results beyond ETH and SETH assumptions.
Contribution
It introduces quantum supremacy results grounded on Orthogonal Vectors, 3-SUM, and APSP conjectures, applicable to both QRAM and non-QRAM quantum models.
Findings
Classical simulation of certain quantum circuits is impossible in exponential time under these conjectures.
Quantum circuits with size linear or exponential in qubits cannot be efficiently classically simulated.
Results extend fine-grained quantum supremacy beyond ETH and SETH assumptions.
Abstract
Fine-grained quantum supremacy is a study of proving (nearly) tight time lower bounds for classical simulations of quantum computing under "fine-grained complexity" assumptions. We show that under conjectures on Orthogonal Vectors (OV), 3-SUM, All-Pairs Shortest Paths (APSP) and their variants, strong and weak classical simulations of quantum computing are impossible in certain exponential time with respect to the number of qubits. Those conjectures are widely used in classical fine-grained complexity theory in which polynomial time hardness is conjectured. All previous results of fine-grained quantum supremacy are based on ETH, SETH, or their variants that are conjectures for SAT in which exponential time hardness is conjectured. We show that there exist quantum circuits which cannot be classically simulated in certain exponential time with respect to the number of qubits first by…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Computability, Logic, AI Algorithms
