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arXiv · 2610.32595

The Compendium of Super-Quadratic Computational Quantum Advantages

Abstract

This compendium presents a structured collection of computational problems with credible prospects for realizing meaningful quantum advantage, focused on describing problem characteristics rather than specific algorithms. It is intended for non-quantum researchers and practitioners with strong computational backgrounds, particularly domain experts, seeking to assess the relevance of quantum methods to real-world problems. The compendium focuses on enumerating core problems for which there is good evidence that a quantum computer can realize more than a quadratic speedup in offline non-relativized time-complexity (e.g., as opposed to in oracular settings, streaming models, or communication advantages). Entries characterize the structural constraints that real-world instances must satisfy to realize those advantages in practice. The intention is to provide a reference that can be leveraged to connect quantum algorithms to practical use cases.

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Philipp Kammerlander, Thomas E. O'Brien, Robbie King, Rolando D. Somma, Mária Kieferová, Brad Lackey, Alexander Schmidhuber, Siddhartha Jain, Andi Gu, Yuri Alexeev, Shouvanik Chakrabarti, Ruslan Shaydulin, Pietro M. Posta, Guang Hao Low, Dar Gilboa, Matthias Troyer, Barry C. Sanders, Matthias Christandl, Elica Kyoseva, Catherine Lefebvre, Ryan Babbush. 2026-10-23. The Compendium of Super-Quadratic Computational Quantum Advantages. https://arxiv.org/abs/2610.32595

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