قالب وردپرس درنا توس
Home / Best / Top 10 unexpected future applications of quantum computers

Top 10 unexpected future applications of quantum computers



Quantum computing is an important trend in computer science. It is unbelievable to believe that everything began to observe the strange properties of light! In the area of ​​the quantum computer, there were several pioneers, especially Richard Feynman – he said quantum computers are feasible and the future of computing.

Quantum computers have been around for a long time before you think. The first quantum calculation was carried out in 1997 using NMR on chloroform molecules. [1] Nowadays we have tried to beat the buzzword "quantum" on almost everything. Even then, there are still some applications – in the endless list of quantum technologies ̵

1; that are really insane.

10 Improving cancer treatment


Cancer is one of the leading causes of death in the world. According to a recent World Health Organization (WHO) survey, in 2016 alone respiratory diseases claimed 1.7 million lives. However, if cancer is detected early, the chances of recovery from treatment are much higher. There are many ways cancer can be treated. One is to remove it by surgery; another is radiotherapy.

Radiation optimization is crucial in radiotherapy because it must be ensured that radiation damages as little healthy cells and tissue as possible near the cancerous area. In the past, there have been many optimization methods for radiotherapy that use classic computers. In 2015, researchers at the Roswell Park Cancer Institute developed a new technique that uses quantum annealing computers, such as those made by D-Wave, to optimize radiotherapy three to four times faster than a traditional computer [2]

9 Better Traffic Flow


Many of us are familiar with waking up early and starting to work just to find a jam waiting on the road. And then comes the terrible feeling that you will be late for work. Google has worked to address this issue by monitoring traffic and suggesting alternative routes to its users. However, Volkswagen is taking its research to another level.

In a 2017 experiment, Volkswagen tried to solve the problem of traffic, not by monitoring, but by optimizing traffic flow. They used QUBO (Quadratic Unconstraint Binary Optimization) technology with quantum annealing computers to consider the optimal route for a given number of cars and possible routes. [3]

So far they have tested With 10,000 taxis in Peking, it should be shown how their method of traffic flow can be optimized much faster than with a classic computer. Many people are skeptical of Volkswagen claims because they used a D-Wave quantum glow computer for processing. Many scientists claim that the D-Wave manufacturers' quantum annealing equipment does not offer the acceleration claimed by Volkswagen.

8 Better Mobile Data Coverage


We were all in a place where mobile data reception is overly bad, and we prefer to use this slow Wi-Fi hotspot in the nearby café. Well, it seems that a company called Booz Allen Hamilton has found the solution to the terrible network coverage problem, of course with the help of quantum computers!

In a publication published in 2017, the optimal satellite coverage was found to be rather good to find out. This is because there are many possible alignment combinations and it is difficult to verify all of these combinations with classic computers.

The solution? They suggest that using the QUBO technique, as mentioned earlier, can help to find the optimal position of the satellite coverage with D-Wave quantum annealers. [4] This would not mean that the satellites covering all satellites could have bad reception points, but the likelihood of finding a place with better reception can be significantly increased.

7 Simulate Molecules


Molecular simulation was a crucial area in biology and chemistry, as it helps us understand the structure of molecules and how they interact with each other. But it also helps us to discover new molecules.

Although classical computers may be able to simulate these molecular dynamics today, the complexity of molecules in a given simulation is limited. Quantum computers are able to effectively break this barrier. So far, they have only been used to simulate small molecules such as beryllium hydride (BeH 2 ). It does not seem like much, but the fact that it was simulated by a seven-bit chip shows that if we have more qubits, we can do extremely complex molecular simulations. [5] This is due to processing The performance of quantum computers increases exponentially with the number of qubits.

Other hardware – such as the D-Wave quantum annealers – has also been used by researchers to develop simulation methods that may be just as good, if not faster. as current methods.

6 Cryptosystems currently in use other than RSA abort


Some of us may have heard of the fear that quantum computers could break cryptosystems such as RSA or DSA. This seems to be true for some cryptosystems, as they are based on prime numbers to generate a key based on prime factors. An algorithm called the Shor algorithm can be used by quantum computers to determine the prime factors used to generate the key, and they can do so much more efficiently.

But what about the other cryptosystems that do not rely on primes? Generate keys? There is another algorithm called the Grover algorithm, which can brutally force a key faster than with a classic computer. However, this is not such a huge acceleration that Shor's algorithm would offer compared to a classic computer (quadratic vs. exponential acceleration). This would mean that we would need much faster quantum computers than those that currently exist to even try to destroy those cryptosystems.

Even so, there are some cryptosystems that would be impossible to break for quantum computers. These cryptosystems are categorized in the field of "post-quantum cryptography". Overall, however, it seems that at least RSA, which is commonly used in digital signatures, would be outdated. [6]

5 More Humanlike AI [19659026] Artificial intelligence is an extremely up-and-coming field in computer science. Scientists have tried to make AI more human through machine learning and neural networks. This seems scary, adding quantum computers to the mix and taking them to a whole new level.

Neural networks run on matrix-based data sets, and processing in neural networks is calculated using matrix algebra. However, the quantum calculation itself basically works by frequently using matrices to define and determine the quantum states of qubits. [7] Thus, any computational process performed on the neural network would be similar to using quantum wells as qubits. Therefore, quantum computers seem to be perfect for neural networks in AI.

Not only that, but quantum computers can also help accelerate machine learning significantly compared to a classic computer. That's why Google has invested in quantum computing research to improve Google's AI using quantum hardware.

4 Quantum Cryptography


This differs greatly from post-quantum cryptography because it should not prevent quantum computers breaking cryptosystems, although they do anyway. This type of cryptography uses the tools of quantum mechanics itself. But how is it more versatile than other forms of cryptography?

Quantum cryptography focuses mainly on the key distribution part of a cryptosystem, here two pairs of entangled qubits are used. One is sent to the receiver while the sender retains the other. Interlaced particles in one overlay, when measured, affect the other qubit. Send a stream of these qubits and you have a key that can be used for encryption. [8]

Best of all, listening is impossible because the qubits can not be copied. They also can not be measured because there are methods to determine if the qubit has been manipulated before it is received by the intended recipient. This makes it a robust method for cryptography, which is why scientists are still exploring this field.

3 Forecasting Weather


We all had the time when we checked the weather forecast that it would be a beautiful sunny day. Only a few moments later it begins to pour and you have not brought your umbrella. Well, it seems that quantum computers have a solution.

In 2017, a Russian researcher published an article about the possibility of using quantum computers to predict the weather more accurately than classical computers. With today's computers, there are some limitations in predicting all the complicated weather changes. [9] This is due to the fact that large amounts of data are involved, but quantum computers seem to offer great acceleration due to dynamic quantum clusters (DQCs) compared to classical means). Methodology that is claimed to generate useful data sets that are classical Techniques are not possible.

It should be noted, however, that not even quantum computers can predict the weather with absolute accuracy, but it will be less likely that we will regret it! Do not bring umbrellas on suspicious sunny days!

2 More Efficient, Customized Advertising


We all hate when we're looking for an article just to find out it's littered with advertising. Most of it does not seem to be relevant at all! Fortunately, Recruit Communications has found a solution to one of these two issues – the relevance of ads.

In their research, they explained how quantum annealing can be used to help companies that want to advertise to reach a wider range of people without spending too much. Quantum annealing can be used to tailor relevant advertisements to customers, so they are more likely to click on them. [10]

1 Playing with Quantum Computers


With all the acceleration quantum computers in the computing field, one thing that could be of interest to gamers, whether they can be used to build cute gaming rig that can run games at brand new frame rates. The answer would be "Art of".

At this point in time, quantum computing is still in its infancy, and the current hardware has not yet reached the "quantum superiority" level, where quantum hardware can count more quickly than currently best computers, though the definition is still vague. This is because quantum computer algorithms work very differently from classical algorithms. Nevertheless, quantum games still seem possible.

There are some games that have been developed to use quantum computers. One of them is called Quantum Battleships, which is based on the board game Battleships. [11] In addition, Microsoft has been working on a programming language called Q #, which uses both classic and quantum hardware to compute. It's also very similar to C #, which would mean that it's very possible to develop Q # games that use the quantum hardware. Maybe one day we will have Call of Duty Q!

I'm a small music producer from the UK with a newly acquired secondary hobby for writing articles!



Source link