Access qcgpu.github.io. QCGPU - Hardware Accelerated Quantum Computer Simulation

name

value

score

weighting

FCP (First Contentful Paint)

Value1.8 s

88/100

10%

LCP (Largest Contentful Paint)

Value2.7 s

84/100

25%

SI (Speed Index)

Value1.8 s

100/100

10%

TBT (Total Blocking Time)

Value20 ms

100/100

30%

CLS (Cumulative Layout Shift)

Value0.01

100/100

15%

TTI (Time to Interactive)

Value3.8 s

89/100

10%

qcgpu.github.io

13 ms

qcgpu.github.io

31 ms

foundation.min.css

23 ms

atom-one-light.css

29 ms

app.css

30 ms

Our browser made a total of 10 requests to load all elements on the main page. We found that 70% of them (7 requests) were addressed to the original Qcgpu.github.io, 10% (1 request) were made to Fonts.googleapis.com and 10% (1 request) were made to Use.fontawesome.com. The less responsive or slowest element that took the longest time to load (53 ms) relates to the external source Use.fontawesome.com.

Content Size

270.0 kB

After Optimization

259.3 kB

In fact, the total size of Qcgpu.github.io main page is 270.0 kB. This result falls beyond the top 1M of websites and identifies a large and not optimized web page that may take ages to load. Only 10% of websites need less resources to load. Javascripts take 255.3 kB which makes up the majority of the site volume.

HTML Optimization

-73%

Potential reduce by 10.8 kB

Original 14.7 kB
After minification 13.4 kB
After compression 4.0 kB

HTML content can be minified and compressed by a website’s server. The most efficient way is to compress content using GZIP which reduces data amount travelling through the network between server and browser. HTML code on this page is well minified. It is highly recommended that content of this web page should be compressed using GZIP, as it can save up to 10.8 kB or 73% of the original size.

JavaScript Optimization

-0%

Potential reduce by 0 B

Original 255.3 kB
After minification 255.3 kB
After compression 255.3 kB

It’s better to minify JavaScript in order to improve website performance. The diagram shows the current total size of all JavaScript files against the prospective JavaScript size after its minification and compression. This website has mostly compressed JavaScripts.

Requests Now

After Optimization

The browser has sent 7 CSS, Javascripts, AJAX and image requests in order to completely render the main page of QCGPU Github. We recommend that multiple CSS and JavaScript files should be merged into one by each type, as it can help reduce assets requests from 4 to 1 for CSS and as a result speed up the page load time.

Accessibility Issues

These are opportunities to improve the legibility of your content.

High

Background and foreground colors do not have a sufficient contrast ratio.

These are opportunities to improve the experience of reading tabular or list data using assistive technology, like a screen reader.

High

Lists do not contain only <li> elements and script supporting elements (<script> and <template>).

High

List items (<li>) are not contained within <ul> or <ol> parent elements.

Areas of Improvement

High

Does not use HTTPS

Low

Ensure CSP is effective against XSS attacks

High

Browser errors were logged to the console

Search Engine Optimization Advices

Make sure your pages are mobile friendly so users don’t have to pinch or zoom in order to read the content pages. [Learn more](https://developers.google.com/search/mobile-sites/).

High

Document uses legible font sizes

High

Tap targets are not sized appropriately

Language and Encoding

Language Detected

EN
Language Claimed

EN
Encoding

UTF-8

Language claimed in HTML meta tag should match the language actually used on the web page. Otherwise Qcgpu.github.io can be misinterpreted by Google and other search engines. Our service has detected that English is used on the page, and it matches the claimed language. Our system also found out that Qcgpu.github.io main page’s claimed encoding is utf-8. Use of this encoding format is the best practice as the main page visitors from all over the world won’t have any issues with symbol transcription.

Social Sharing Optimization

Open Graph description is not detected on the main page of QCGPU Github. Lack of Open Graph description can be counter-productive for their social media presence, as such a description allows converting a website homepage (or other pages) into good-looking, rich and well-structured posts, when it is being shared on Facebook and other social media. For example, adding the following code snippet into HTML <head> tag will help to represent this web page correctly in social networks: