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Abstract

A universal quantum computer of large scale is not available yet, however, intermediate models of quantum computation would still permit demonstrations of a quantum computational advantage over classical computing and could challenge the Extended Church-Turing Thesis. One of these models based on single photons interacting via linear optics is called Boson Sampling. Although Boson Sampling was demonstrated and the threshold to claim quantum computational advantage was achieved, the question of how to scale up Boson Sampling experiments remains. To make progress with this problem, here we present a practically achievable pathway to scale Boson Sampling experiments by combining continuous-variable quantum information and temporal encoding. We propose the combination of switchable dual-homodyne and single-photon detections, the temporal loop technique, and scattershot-based Boson Sampling. We detail the required assumptions for concluding computational hardness for this configuration. Furthermore, this particular combination of techniques moves towards an efficient scaling and certification of Boson Sampling, all in a single experimental setup.

Details

1009240
Title
Boson Sampling with Gaussian input states: toward efficient scaling and certification
Publication title
arXiv.org; Ithaca
Publication year
2024
Publication date
Nov 13, 2024
Section
Quantum Physics
Publisher
Cornell University Library, arXiv.org
Source
arXiv.org
Place of publication
Ithaca
Country of publication
United States
University/institution
Cornell University Library arXiv.org
e-ISSN
2331-8422
Source type
Working Paper
Language of publication
English
Document type
Working Paper
Publication history
 
 
Online publication date
2024-11-15
Milestone dates
2018-12-21 (Submission v1); 2019-07-05 (Submission v2); 2020-04-13 (Submission v3); 2021-11-28 (Submission v4); 2023-06-29 (Submission v5); 2024-11-13 (Submission v6)
Publication history
 
 
   First posting date
15 Nov 2024
ProQuest document ID
2160078195
Document URL
https://www.proquest.com/working-papers/boson-sampling-with-gaussian-input-states-toward/docview/2160078195/se-2?accountid=208611
Full text outside of ProQuest
Copyright
© 2024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2024-11-16
Database
ProQuest One Academic