Qubits: new Google algorithm | Adrenalina

Qubits: new Google algorithm

Publicado Por | 17 Abril , 2013 | Blog Adrenalina En | No Comments


”Regarding the post”

The post we posted yesterday (December the 28th, 2012) about the Google algorithm was a prank given how it was the “Saint Innocents’ Day” in Spain, the equivalent to April’s Fool Day.

The idea was staged by various “Gato” SEOs and set from our blog with the following diffusion of buddies and pals.

We hope you liked it and, for those who “fell” (some) for it, don’t go crazy: if you want something crazy then you’ve got GOOGLE.

We thank Felipe @duqueredes & Victor @victorhdez for their help and their “Gato” pals.



Google has been introducing changes on its algorithm for a long time to measure in a more precise manner the content quality and the fight agaisnt spam. Proof of it is the latest Google Penguin updated and the latest updated and revisions of Panda.

Google staked on quality content and the changes in the algorithm help to catch the low-quality contents faster. That’s why all SEO strategies must be aimed and oriented towards content quality.

Qubits the new Google algorithm is based in a new data processing form faster than the actual Caffeine ( http://googleblog.blogspot.com.es/2010/06/our-new-search-index-caffeine.html) which mainly cares about AuthorRank.

Qubits & AuthorRank is an algorithm which establishes a numerical value to the contents’ quality or to the site produced by an author, offering a value which allows one to classify by specialized theme each author and which transfers that numerical value and of thematic classification to the contents of each author to influence their positions in the SERP’s.

Things the new algorithm won’t be able to do:

  • Established, via a pingback mechanism, the author of a post or page, so that the authors are connected with their online content..
  • Semantic links between documents (duplicated contents).
  • Links between works (Google’s Co-Occurrence Patent)
  • Links between sites ( Link exchanging and selling ) .
  • Accessibility scores in the web pages ranking (Reachability Scores in Ranking Resources)
  • Data interpretation ( Keyword stuffing) etc….
  • Use of Knowledge Base for Underserved Queries
  • Language comprehension improvement.
  • Link authority, which values a page’s quality as information means; a special sum of hub values is used to reach it when they point towards this page.
  • The real value of the “hub”, which says how good the info you manage by following the links to other pages is; it’s calculated as a special sum of authority vlues of the pages which is pointing to. Some implementations of the algorithm also take into account how much relevance linked pages have.
  • Automated PR evaluation, important for Google web positioning and the link-building strategies..
  • More efficient URL tracking

This new algorithm affect the manner of recalculating the Page Rank (weight or importance of a site) since it directly affects d which is the softening factor and has a value between 0 and 1.







According to this doccument made along with the Cambridge College, this
http://michaelnielsen.org/qcqi/QINFO-book-nielsen-and-chuang-toc-and-chapter1-nov00.pdf tells that the integration in their new data center installations have been done. Google offered images of them recently:

Qubits is based on the superposition or the lineal combination of a bit’s base states (0, 1) and be able to offer faster results.

A qubit is generally explained away as a superposition or lineal combination of the base states |0 \rangle & |1 \rangle :

 | \psi \rangle = \alpha |0 \rangle + \beta |1 \rangle

where the probability amplitudes α & β usually are complex numbers, that is, contain phase information. As any measurement in quantic mechanics, the squares of these coefficientes determine in a respective manner the probability of obtaining in one measurement the results |0 \rangle & |1 \rangle . Given how the total probability has to be units, α & β can relate by the equation:

 \|\alpha \|^2 + \|\beta \|^2 = 1

This equation guarantess that the measurement will be obtained in a state or another. Given its quantic nature, any qubit measurement will inevitably change its state: the superposition is shattered and it collapses in the base state which resulted from the measure and {\alpha,\beta} ends up becoming {0,1}.

Otherwise, the qubit can also be described through a density matrix. For a qubit in the state \left|\psi\right\rangle the projecting operator matching it is:


when compared to the state vector, the density matrix is defined in an univocal manner. Using density matrixes it’s possible to describt qubits the state of which is rather unknown, the so-called “mix stat”. Generally speaking you can describe a qubit density matrix in the following manner:

(*)\rho = \frac{1}{2}\left(\mathbf{1} + \sum_{i=1}^3 c_i\sigma_i\right),\quad c_1^2+c_2^2+c_3^2\le 1

donde \mathbf{1} is the unity matrix 2 per 2 and \sigma_i are the Pauli matrixes. The probability of findign the state \left|\psi\right\rangle in a mesasure is given by p_\psi=\left\langle\psi\right|\rho\left|\psi\right\rangle.

More info in http://en.wikipedia.org/wiki/Qubit

If you want more info about the phenomenon check out our Online Marketing Agency and web positioning, we develop web apps in a customized manner and we’re experts in
iPad apps development
, iPhone & Android.

Autor: mauro flores

Estudiamos y analizamos su negocio en profundidad, definimos objetivos y planteamos la estrategia de marketing más adecuada centrándonos en conseguir cada uno de los objetivos propuestos. Solicita Presupuesto Ahora

Uso de cookies

En este sitio web utilizamos cookies propias y de terceros para mejorar nuestros servicios, para que usted tenga la mejor experiencia de usuario y analizar su visita. Si continúa navegando está dando su consentimiento para la aceptación de las mencionadas cookies y la aceptación de nuestra política de cookies, pinche el enlace para mayor información.