• Home
  • Archive
  • Tools
  • Contact Us

The Customize Windows

Technology Journal

  • Cloud Computing
  • Computer
  • Digital Photography
  • Windows 7
  • Archive
  • Cloud Computing
  • Virtualization
  • Computer and Internet
  • Digital Photography
  • Android
  • Sysadmin
  • Electronics
  • Big Data
  • Virtualization
  • Downloads
  • Web Development
  • Apple
  • Android
Advertisement
You are here: Home » Machine Learning With Quantum Computers

By Abhishek Ghosh April 27, 2019 5:53 pm Updated on April 27, 2019

Machine Learning With Quantum Computers

Advertisement

Unlike a desktop computer based on transistors working on binary data, the quantum computers work on qubits whose quantum state can have an infinite number of values. Small quantum computers were built from the 1990s. Until 2008, the major difficulty concerns the physical realization of the basic element: the qubit. The phenomenon of decoherence (loss of quantum effects on the macroscopic scale) hinders the development of quantum computers. The first quantum processor is created in 2009 at Yale University : it has two qubits each composed of one billion aluminum atoms placed on a superconducting support. This domain is financially supported by several organizations, companies or governments because of the importance of the issue: at least one algorithm designed to use a quantum circuit, the Shor algorithm, would make many combinatorial calculations possible b out of range a classic computer in the current state of knowledge. The possibility of breaking the classical cryptographic methods is often put forward.

Quantum computers take advantage of the strange ability of subatomic particles to exist in more than one state at a time. Thanks to the way these particles behave, operations can be performed faster than on conventional computers, while consuming less energy.

In fact, unlike the bits of classical computers that can only exist in two states (1 or 0), the quantum bits (qubits) of quantum computers can exist in any superposition of these two values ​​and thus store more data. information.

Advertisement

---

Machine Learning With Quantum Computers

IBM has created quantum algorithms to perform machine learning on quantum computers to create artificial intelligences much more powerful than those created with conventional computers. This is circulating with news.

Feature Mapping is the process of disassembling information to access more finer aspects of that data. Currently, Machine Learning already allows to do this, for example by taking the pixels of an image to place them in a grid according to their color. The algorithms then map the color values ​​non-linearly and break down the data according to their most useful characteristics.

IBM researchers have discovered a way to make Machine Learning significantly more efficient for feature mapping. In a paper published, the research team announced a “quantum algorithm” allowing quantum computers to perform machine learning in a new scale.

Thus, IBM’s new quantum algorithms make it possible to separate the aspects and characteristics of the data in an even greater degree than with a standard Machine Learning algorithm. In fact, data can be classified more precisely and Machine Learning systems will be more efficient. The goal is to use quantum computers to create new classifiers that can generate more sophisticated data maps. In doing so, researchers will be able to develop more effective artificial intelligences that can for example identify invisible patterns for conventional computers.

For now, IBM says that these new algorithms have not yet surpassed the performance of conventional machines on quantum computers. However, this is mainly related to the fact that quantum computers are still limited by the current hardware constraints.

Indeed, current quantum computers have a computing capacity limited to only two qubits. However, this computing capacity can be simulated on conventional computers. It will therefore be necessary to wait for more efficient quantum computers to emerge for IBM algorithms to achieve “quantum advantage”. In the meantime, these new algorithms are available in open-source for the developers, researchers and other experts.

Tagged With machine learning on quantum computers , machine learning quantum computers , machine learning with quantum computers , Mashine Learning Quantum Computer , quantum computers 2019 and machine learning , Qubit

This Article Has Been Shared 299 Times!

Facebook Twitter Pinterest
Abhishek Ghosh

About Abhishek Ghosh

Abhishek Ghosh is a Businessman, Orthopaedic Surgeon, Author and Blogger. You can keep touch with him on Twitter - @AbhishekCTRL.

Here’s what we’ve got for you which might like :

Articles Related to Machine Learning With Quantum Computers

  • Big Data as a Service (BDaaS) Basics

    Big Data as a Service or BDaaS, is as if combination of SaaS, PaaS and DaaS. Self Hosting Big Data platform is time consuming and costly.

  • Real-time Big Data Analytics in Health Care Using Tools From IBM

    Goal of the article Real-time Big Data Analytics in Health Care Using Tools From IBM is to provide understanding of big data in the health.

  • How to Include Jupyter Notebooks in WordPress Posts

    How to Include Jupyter Notebooks in WordPress Posts? There Are Several Ways. It Depends on What Exactly Your Blogs Are About.

  • How To Install Apache Avro On Ubuntu Running Apache Hadoop

    Here is How To Install Apache Avro On Ubuntu Running Apache Hadoop. Avro is a Framework Supporting RPC and Data Serialization.

  • Configure Apache Tika With WordPress to Search, Get Meta of PDF/Doc Files

    Apache Tika Can Be Combined With PHP. Here is How to Configure Apache Tika With WordPress to Search, Get Meta of PDF/Doc/Excel/Text and Other Type of Files.

Additionally, performing a search on this website can help you. Also, we have YouTube Videos.

Take The Conversation Further ...

We'd love to know your thoughts on this article.
Meet the Author over on Twitter to join the conversation right now!

If you want to Advertise on our Article or want a Sponsored Article, you are invited to Contact us.

Contact Us

Subscribe To Our Free Newsletter

You can subscribe to our Free Once a Day, Regular Newsletter by clicking the subscribe button below.

Click To Subscribe

Please Confirm the Subscription When Approval Email Will Arrive in Your Email Inbox as Second Step.

Search this website…

 

Popular Articles

Our Homepage is best place to find popular articles!

Here Are Some Good to Read Articles :

  • Cloud Computing Service Models
  • What is Cloud Computing?
  • Cloud Computing and Social Networks in Mobile Space
  • ARM Processor Architecture
  • What Camera Mode to Choose
  • Indispensable MySQL queries for custom fields in WordPress
  • Windows 7 Speech Recognition Scripting Related Tutorials

Social Networks

  • Pinterest (21K Followers)
  • Twitter (5.3k Followers)
  • Facebook (5.7k Followers)
  • LinkedIn (3.7k Followers)
  • YouTube (1.3k Followers)
  • GitHub (Repository)
  • GitHub (Gists)
Looking to publish sponsored article on our website?

Contact us

Recent Posts

  • What is Standard Software February 28, 2021
  • WordPress Link to text Fragment February 27, 2021
  • How to Protect IP Cameras From Hackers February 25, 2021
  • 6 Sectors That Have Undergone Revamps in Digital Landscape February 24, 2021
  • What You Can Control with a Smartwatch and ESP32 February 23, 2021

 

About This Article

Cite this article as: Abhishek Ghosh, "Machine Learning With Quantum Computers," in The Customize Windows, April 27, 2019, March 2, 2021, https://thecustomizewindows.com/2019/04/machine-learning-with-quantum-computers/.

Source:The Customize Windows, JiMA.in

 

This website uses cookies. If you do not want to allow us to use cookies and/or non-personalized Ads, kindly clear browser cookies after closing this webpage.

Read Cookie Policy.

PC users can consult Corrine Chorney for Security.

Want to know more about us? Read Notability and Mentions & Our Setup.

Copyright © 2021 - The Customize Windows | dESIGNed by The Customize Windows

Copyright  · Privacy Policy  · Advertising Policy  · Terms of Service  · Refund Policy