Second moment of Hafnians in Gaussian boson sampling

This paper addresses the question of exactly how to tell if Gaussian boson sampling gives a quantum advantage. It complements a joint PRL paper that uses a graph-theoretic method to study the output probabilities of Gaussian boson sampling. In this PRA paper, the authors dive deeper into the formalism and detail a numerical technique based on recursion.

Authors

Institutions

Publication Details

Journal
Physical review. A/Physical review, A
Published
2025-04-08
DOI
https://doi.org/10.1103/physreva.111.042412
Citations
3
Primary Topic
Quantum many-body systems
Type
article
Field-Weighted Citation Impact
3.74

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Second moment of Hafnians in Gaussian boson sampling

Alexey Vyacheslavovich Gorshkov, Abhinav Deshpande, Joseph T. Iosue, Adam Ehrenberg et al.
3 citations
Physical review. A/Physical review, A
Quantum many-body systems
3.74
article

Second moment of Hafnians in Gaussian boson sampling

Alexey Vyacheslavovich Gorshkov, Abhinav Deshpande, Joseph T. Iosue, Adam Ehrenberg, Dominik Hangleiter
article en
3 citations

Abstract

This paper addresses the question of exactly how to tell if Gaussian boson sampling gives a quantum advantage. It complements a joint PRL paper that uses a graph-theoretic method to study the output probabilities of Gaussian boson sampling. In this PRA paper, the authors dive deeper into the formalism and detail a numerical technique based on recursion.

Physical review. A/Physical review, AVol. 111(4)
IBM Research - Almaden (US), Joint Center for Quantum Information and Computer Science (US), Joint Quantum Institute (US), University of California, Berkeley (US)
National Science Foundation, U.S. Department of Defense, U.S. Department of Energy, University of Maryland, Air Force Office of Scientific Research
Openalex Percentile: Top 8%
Quantum many-body systems
3.74
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.