Limits of quantum speed-ups for computational geometry and other problems: Fine-grained complexity via quantum walks
Harry Buhrman, Bruno Loff, Subhasree Patro, Florian Speelman

TL;DR
This paper extends fine-grained complexity theory to the quantum setting, establishing tight lower bounds on quantum algorithms' speed-ups for problems like 3SUM, based on a quantum analogue of classical conjectures.
Contribution
It introduces the Quantum-3SUM-Conjecture and derives tight lower bounds for quantum algorithms, advancing understanding of quantum speed-up limits in computational geometry.
Findings
Quantum lower bounds match known upper bounds
Tight limits on quantum speed-ups for key problems
Extension of classical fine-grained complexity to quantum realm
Abstract
Many computational problems are subject to a quantum speed-up: one might find that a problem having an O(n^3)-time or O(n^2)-time classic algorithm can be solved by a known O(n^1.5)-time or O(n)-time quantum algorithm. The question naturally arises: how much quantum speed-up is possible? The area of fine-grained complexity allows us to prove optimal lower-bounds on the complexity of various computational problems, based on the conjectured hardness of certain natural, well-studied problems. This theory has recently been extended to the quantum setting, in two independent papers by Buhrman, Patro, and Speelman (arXiv:1911.05686), and by Aaronson, Chia, Lin, Wang, and Zhang (arXiv:1911.01973). In this paper, we further extend the theory of fine-grained complexity to the quantum setting. A fundamental conjecture in the classical setting states that the 3SUM problem cannot be solved by…
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