arXiv QuantumArchived Apr 15, 2026✓ Full text saved
arXiv:2604.12131v1 Announce Type: new Abstract: The short-path quantum algorithm introduced by Hastings (Quantum 2018, 2019) is a variant of adiabatic quantum algorithms that enables an easier worst-case analysis by avoiding the need to control the spectral gap along a long adiabatic path. Dalzell, Pancotti, Campbell, and Brand\~{a}o (STOC 2023) recently revisited this framework and obtained a clear analysis of the complexity of the short-path algorithm for several classes of constraint satisfac
Full text archived locally
✦ AI Summary· Claude Sonnet
Quantum Physics
[Submitted on 13 Apr 2026]
Dequantizing Short-Path Quantum Algorithms
François Le Gall, Suguru Tamaki
The short-path quantum algorithm introduced by Hastings (Quantum 2018, 2019) is a variant of adiabatic quantum algorithms that enables an easier worst-case analysis by avoiding the need to control the spectral gap along a long adiabatic path. Dalzell, Pancotti, Campbell, and Brandão (STOC 2023) recently revisited this framework and obtained a clear analysis of the complexity of the short-path algorithm for several classes of constraint satisfaction problems (MAX-k-CSPs), leading to quantum algorithms with complexity 2^{(1-c)n/2} for some constant c>0. This suggested a super-quadratic quantum advantage over classical algorithms.
In this work, we identify an explicit classical mechanism underlying a substantial part of this line of work, and show that it leads to clean dequantizations. As a consequence, we obtain classical algorithms that run in time 2^{(1-c')n}, for some constant c'>c, for the same classes of constraint satisfaction problems. This shows that current short-path quantum algorithms for these problems do not achieve a super-quadratic advantage. On the positive side, our results provide a new ``quantum-inspired'' approach to designing classical algorithms for important classes of constraint satisfaction problems.
Comments: 45 pages
Subjects: Quantum Physics (quant-ph); Computational Complexity (cs.CC); Data Structures and Algorithms (cs.DS)
Cite as: arXiv:2604.12131 [quant-ph]
(or arXiv:2604.12131v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2604.12131
Focus to learn more
Submission history
From: Francois Le Gall [view email]
[v1] Mon, 13 Apr 2026 23:31:53 UTC (48 KB)
Access Paper:
HTML (experimental)
view license
Current browse context:
quant-ph
< prev | next >
new | recent | 2026-04
Change to browse by:
cs
cs.CC
cs.DS
References & Citations
INSPIRE HEP
NASA ADS
Google Scholar
Semantic Scholar
Export BibTeX Citation
Bookmark
Bibliographic Tools
Bibliographic and Citation Tools
Bibliographic Explorer Toggle
Bibliographic Explorer (What is the Explorer?)
Connected Papers Toggle
Connected Papers (What is Connected Papers?)
Litmaps Toggle
Litmaps (What is Litmaps?)
scite.ai Toggle
scite Smart Citations (What are Smart Citations?)
Code, Data, Media
Demos
Related Papers
About arXivLabs
Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)