Skip to main content

Facts about Quantum Computing


  • The main motive of Quantum computing is to take advantage of unusual properties that exhibited by matter. A conventional computer uses binary “bits” (zero and one) for the calculation process; a quantum computer uses quantum bits, known as qubits which can exist in both states simultaneously. It exhibits properties of quantum entanglement which is a phenomenon that means pairs, or groups, of particles, cannot be described or measured independently of each other and their state depends on that of other particles in the group.
  • Due to factors which are still not fully understood despite the best efforts of Schrödinger, Einstein and many others since it appears that particles linked in this way can transfer information between each other. Even though they could be an unlimited distance apart. The analyst team engaged in quantum computing believes that in future it will be possible to harness the mechanisms and will be able to build computers millions of times more efficient than something accessible nowadays.
  • The temperature required by Quantum computing is extremely cold, as sub-atomic particles must be as close as possible to a stationary state to be measured. The D Wave core of quantum computers operates at, -273 degrees c or -460 degrees f, i.e 0.02 degrees away from absolute zero. One possible explanation for why quantum computers work involves parallel universes. It has been theorized that qubits are able to survive in two states simultaneously.
Major Sessions are Artificial Intelligence, Artificial Neural Networks, Cognitive Computing, Self-Organizing Neural Networks, Backpropagation, Computational Creativity, Deep Learning, Perceptrons, Ambient Intelligence, Cloud Computing, Autonomous Robots, Support Vector Machines, Parallel Processing, Bioinformatics, Ubiquitous Computing, Natural Language Processing, and Entrepreneurs Investment Meet.

For updates on the availing research, do visit: https://neuralnetworks.conferenceseries.com/abstract-submission.php


Go through the link provided, for details about the webpage; PS: https://neuralnetworks.conferenceseries.com/   

Comments

Post a Comment

Popular posts from this blog

Does Machines Perceive Human Emotions?

Researchers have developed a machine-learning model that takes computers a step closer to interpreting our emotions as naturally as humans do. In the growing research field of “affective computing”, robots and computers are being developed to analyze facial expressions, interpret our emotions and respond accordingly. Applications include, for instance, monitoring an individual’s health and well-being, gauging student interest in classrooms, helping diagnose signs of certain diseases, and developing helpful robot companions . A challenge, however, is people express emotions quite differently, depending on many factors. General differences can be seen between cultures, genders, and age groups. But other differences are even more fine-grained: The time of day, how much you slept, or even your level of familiarity with a conversation partner leads to subtle variations in the way you express, say, happiness or sadness in a given moment. Human brains instinctively catch these dev
2 comments
Read more

About Conference

We take the pride to invite all the participants across the globe to attend the Global summit on Artificial Intelligence and Neural Network during October 15-16, 2018 at Helsinki, Finland.  Artificial Intelligence and Neural Network include prompt keynote presentations, Oral talks, Poster presentations, and Exhibitions. Neural Networks 2018 aims in proclaim knowledge and share new ideas amongst the professionals, industrialists, researchers, and students from research area of Artificial Intelligence. This scientific gathering guarantees that offering the thoughts and ideas will enable and secure you the theme “Harnessing the power of Artificial Intelligence”. Artificial Intelligence is the technology which will revolutionize many fields especially in industries like manufacturing, control systems, cloud computing, Data mining, etc. Artificial neural networks are statistical models directly inspired by, and partially modeled on biological neural networks. The current era full
Post a Comment
Read more

Market Analysis: Cognitive Computing, recent industry developments

In the ever dynamical world of data technology, business organizations are left with a massive amount of data with them. This data includes very crucial info for business use, however business organizations are solely ready to utilize 200th of whole data accessible with them with the use of traditional data analytics technology. To method and interpret the reaming 80th of the data that's within the form of videos, images, and human voice (also referred to as dark data), there's a requirement of cognitive computing systems. Cognitive computing  systems are a typical combination of hardware and software that constitute natural language processing (NLP) and machine language, and have the capability to collect, process, and interpret the dark data available with business organizations. Cognitive computing systems process and interpret the data in a probabilistic manner, unlike conventional big data analytic tools. However, to cope with the continuously evolving technolog
2 comments
Read more