A faster hafnian formula for complex matrices and its benchmarking on a supercomputer
Not on the map. Why?
Abstract (arXiv)
We introduce new and simple algorithms for the calculation of the number of perfect matchings of complex weighted, undirected graphs with and without loops. Our compact formulas for the hafnian and loop hafnian of n × n complex matrices run in O(n3 2n/2) time, are embarrassingly parallelizable and, to the best of our knowledge, are the fastest exact algorithms to compute these quantities. Despite our highly optimized algorithm, numerical benchmarks on the Titan supercomputer with matrices up to size 56 × 56 indicate that one would require the 288000 CPUs of this machine for about a month and a half to compute the hafnian of a 100 × 100 matrix.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 31 May 2018.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2024: 1.
1 paper.
- 2024Photonic Quantum Computerscited by 2
- 2024Photonic Quantum Computers12 Sep 2024