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Title | QuantumOptics.jl |
Description | A Julia Framework for Open Quantum A Julia Framework for Open Quantum |
Keywords | N/A |
WebSite | qojulia.org |
Host IP | 85.13.153.102 |
Location | Germany |
Site | Rank |
US$1,535,437
Last updated: 2023-05-14 15:29:44
qojulia.org has Semrush global rank of 6,893,349. qojulia.org has an estimated worth of US$ 1,535,437, based on its estimated Ads revenue. qojulia.org receives approximately 177,166 unique visitors each day. Its web server is located in Germany, with IP address 85.13.153.102. According to SiteAdvisor, qojulia.org is safe to visit. |
Purchase/Sale Value | US$1,535,437 |
Daily Ads Revenue | US$1,418 |
Monthly Ads Revenue | US$42,520 |
Yearly Ads Revenue | US$510,238 |
Daily Unique Visitors | 11,812 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
qojulia.org. | A | 3600 | IP: 85.13.153.102 |
qojulia.org. | NS | 3600 | NS Record: ns5.kasserver.com. |
qojulia.org. | NS | 3600 | NS Record: ns6.kasserver.com. |
qojulia.org. | MX | 3600 | MX Record: 10 w015d47f.kasserver.com. |
Toggle navigation qojulia.org Cite Add-Ons Benchmarks Github Documentation v1.0.9 released A Julia Framework for Open Quantum Dynamics QuantumOptics.jl is a numerical framework written in the Julia programming language that makes it easy to simulate various kinds of open quantum systems. It is inspired by the Quantum Optics Toolbox for MATLAB and the Python framework QuTiP . Performance QuantumOptics.jl optimizes processor usage and memory consumption by relying on different ways to store and work with operators. Check out the benchmarks . Usability The framework comes with a plethora of pre-defined systems and interactions making it very easy to focus on the physics, not on the numerics. Read the documentation . Reliability Every function in the framework has been severely tested with all tests and their code coverage presented on the framework’s GitHub page . Getting Started To get started with Julia, check out Julia’s setup instructions . For plotting we recommend matplotlib in |
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