Quantum field lens coding and classification algorithm to predict measurement outcomes-Reference-Cited by-同舟云学术

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Quantum field lens coding and classification algorithm to predict measurement outcomes

Published:2023 Issue: Volume:10 Page:102136
ISSN:2215-0161
Container-title:MethodsX
language:en
Short-container-title:MethodsX

Author:

Alipour Philip B.^ORCID,Gulliver T. Aaron

Publisher

Elsevier BV

Subject

Medical Laboratory Technology,Clinical Biochemistry

Reference78 articles.

1. Equilibrium and nonequilibrium statistical thermodynamics;Vliet,2010

2. Generating entangled atom-photon pairs from BEC;Moore;Phys. Rev. Lett.,2000

3. Superconductivity in carbon nanotubes and carbyne-nanotube composites;Wong;Elsevier BV,2017

4. Quantum double-field model and aplication;Alipour;preprint via PHYSO-EM, Elsevier BV,2022

5. Dataset for quantum double-field model and application;Alipour,2023

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. QF-LCS: Quantum field lens coding simulator and game tool for strong system state predictions;Software Impacts;2024-09

2. Quantum AI and hybrid simulators for a Universal Quantum Field Computation Model;MethodsX;2023-12

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