In a Breakthrough Study, Physicists Discovered the Way to "Reverse Time" Using a Quantum Computer

An international team of scientists led by researchers at the Moscow Institute of Physics and Technology demonstrated the possibility of time reversal in a development that contradicts the basic laws of physics, Newsweek reported on Wednesday. The researchers were assisted by colleagues in Switzerland and the United States.

Lead researcher Dr Gordey Lesovik, who heads the Laboratory of the Physics of Quantum Information at the Moscow Institute of Physics and Technology, said, “We have artificially created a state that evolves in a direction opposite to that of the thermodynamic arrow of time.”

The thermodynamic arrow of time refers to the Second Law of Thermodynamics, which states that “disorder” only increases with time, and can never decrease. A direction opposite to this, previously unknown, would mean that the object moves back from a state of chaos to order.

In a study published in the journal Scientific Reports on March 13, the scientists experimentally showcased time reversal by sending a qubit from a more complex state to a simpler one using an algorithm on an IBM quantum computer. A qubit, or quantum bit, is the basic unit of quantum information. It is the quantum version of a computer binary bit, which can be a one or a zero.

The quantum physicists decided to check if time could spontaneously reverse itself, at least for an individual particle, and for a tiny fraction of a second. As a result, they examined a single electron in empty interstellar space.

“Suppose the electron is localised when we begin observing it. This means that we are pretty sure about its position in space,” said the study’s co-author Andrey Lebedev from the Moscow Institute of Physics and Technology. “The laws of quantum mechanics prevent us from knowing it with absolute precision, but we can outline a small region where the electron is localised.”

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Understanding Reinforced and Semi supervised Machine learning

Article 1:Iintroduction to Artificial intelligence and Machine learning

Article 2:Introduction To Machine Learning Algorithm
article 3:Understanding Supervised and unsupervised machine learning

Understanding Reinforced and Semi supervised Machine learning

As we already discussed the first two types of Machine learning Algorithm its time to understand next two and final types of machine learning algorithm which are:

*Semi supervised Machine learning
*Reinforced Machine Learning

Review of Supervised and Unsupervised Machine learning.

Supervised Machine learning:

In supervised machine learning ,system is trained using training data or also labeled data or also classified example modal .algorithm uses these training data to take decision and show results ,this type of algorithm is very time consuming and expensive but more accurate.

Unsupervised machine learning:

In unsupervised machine learning ,system is trained without any labeled data or also classified data or also example modal. These type of algorithm is less time consuming and expensive but less accurate.

What is semi supervised machine learning?

Due to use of a lot of labeled data ,supervised learning is very time consuming and expensive,in some experiment data scientists used some labeled data with some unlabeled data and founded that it increases the accuracy of result and it was easy to implement than supervised learning. And more accurate than unsupervised learning.
         Hence they devloped a new algorithm which falls between supervised and unsupervised learning aka,semi supervised learning.
       Semi supervised learning involves human agent to render data and modals .
       

As we now know what is semi supervised learning we can now try to understand  About Reinforced machine learning..

What is Reinforced machine learning?

Reinforced learning is a technique to train a program using trial an error method or more practical way as human learns from environment using their actions.

For example if a kid does something good gets a choclate as a reward and  for doing something bad gets scolded by their parents.
      Reinforced learning is also based on same principal if system does something valuable gets reward points by agents but when it does something value less ,reward point is reduced .
System used these past experience to learn and be accurate .
        So simply this technique is more action based and trained under live environment , this topic is very eye catching for research among data scientists and programmers due to its possibility in future to create a very advanced independent system.
       In next we will discuss more about these technique and terms related to Artificial intelligence .

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Written by- Aakash deep gupta 

FIVE TECH TRENDS FOR 2019

Five Tech Trends for 2019

1. Artificial Intelligence

Within a few years, analysts predict that all software will use AI at some level, according to US research and advisory firm Gartner.

2. Augmented Reality

Organizations are increasingly applying this technology across a wide spectrum of human activity from art and entertainment to commerce, education and the military.

 3. Block Chains

The fortunes of digital currency Bitcoin have drawn public attention to Blockchain technology, but this secure system for recording and verifying transactions and storing trusted records has the potential to disrupt enterprise of many kinds.

4. Automation

From convenient devices at home to industrial applications on a massive scale, automation will be a key focus of technological change, with potentially far-reaching economic and social consequences.

5. Internet Of Things

It is early days for the application of IoT strategy but it is clear that opportunities will exist for those with the technical knowledge to connect platforms as well as those with the data analytics skills to utilize the rich stream of information generated by IoT application.

Written by- Aayush Sourav