You’ve probably heard that quantum computers can solve problems at speed unfathomable to traditional computers.

What’s more:

They can be used in physics, mathematics, economy, finances, and many more fields where there is a need to create and/or analyze a vast model impacted by a huge number of factors.

Now:

This is still a new filed, so there are not many quantum computing statistics. That’s why we had to dig deep to bring you all the relevant stats and facts.

Let’s dive right in.

- Deep Blue blue calculated 200 million potential moves per second in 1997 in its chess match against Gary Kasparov.
- The operating temperature of the D-Wave 2000Q quantum computer is 0.015 Kelvin.
- 5 companies have made quantum chips so far.
- Quantum Artificial Intelligence Lab released a 72 qubit processor in 2018.
- 10 years for the same tasks for Boolean logic computers compared to the latest Google quantum computers.
- There were 90 new job postings for quantum computing commercial jobs in 2018.
- The operating power of the first quantum computers was 2 qubits.

These are some smashing figures, right? And we’ve got plenty more where these came from. But before we go any further, let’s start with the basics:

Every-day computers use transistors in order to work with zeroes and ones individually. In contrast, quantum computers can work with zero and one at the same time, using something that is called superposition quantum states.

Here’s how:

This state represents the state of matter for which we can think it is zero and one at the same time. Features like strange superposition states and quantum entanglements enable quantum computing to perform simultaneous calculations and to extract the results. These facts about quantum computing make these computers super fast and way better than classical computers.

Confused? No need to be:

In simple terms, superposition represents the ability of a quantum system to be, at the same time, here and there, up and down, left end right. Entanglement represents the extremely strong correlation that exists between quantum particles. In fact, this correlation is so strong that two or several quantum particles can be inevitably linked, even if they are very far away from each other.

With our quantum computing definition out of the way, let’s go back to the stats.

Widely regarded as one of the greatest (if not *the *greatest) chess players of all time, Gary Kasparov was at the peak of his powers at the time. So, it came as a shock when he lost the long-anticipated match with Deep Blue. And that was back in 1997! The quantum computers of today are able to do around one trillion calculations per second.

Besides the immense power and speed quantum computers have, they are also more power-efficient than traditional computers thanks to quantum tunneling. Among other interesting facts about quantum computing, quantum tunneling to reduce the consumption of power by massive amounts.

One of the greatest advantages of quantum computes is the fact that it can speed up the learning process of AI tremendously. In fact, it can help the AI to learn vast information in mere seconds, while it would take thousands of years before.

Another amazing fact about quantum computers is the temperatures needed for keeping quantum computers stable. For example, the D-Wave 2000Q system operates at a temperature of 0.015 Kelvin. This is 180 times colder than interstellar space and incredibly close to the absolute zero on the Kelvin scale.

Quantum computers are incredible, but they are not suitable for simple tasks like emailing. This means that traditional computers will not lose their place since quantum computers should be used to solve incredibly complicated problems.

A mind-blowing fact about quantum computers is their power to operate like nature, so they are sometimes called natural. Although we do not completely understand the way quantum tunneling works, we know that they operate the same principles in the sub-atomic level on which nature does. Because of that, we are one big step closer to the simulation of the natural world.

The first dedicated quantum computer focused on commercial business in the world was named 1Qbit in 2012 in Vancouver, British Columbia.

Another fun fact about quantum computers is that so far, only a handful of companies have made quantum chips. They are Google with Bristlecone, IBM with IBM Experience and Q, Intel with Tangle Lake, Rigetti with 19Q, and D-Wave with Rainier.

IBM launched Q, a 5 qubit quantum computer whose services you could use via the cloud in 2016. Two years later, the company upgraded it to 20 qubits of quantum processing power, which was a massive boost.

According to **artificial intelligence stats**, in 2018 the Quantum Artificial Intelligence Lab, which is run by NASA, Google and the Universities Space Research Association, released a Bristlecone, a 72 qubit processor.

By now you’re probably wondering:

Let’s find out:

The latest Google quantum supremacy state computers reached the speed of a couple of hundred trillions of calculations in the blink of an eye! In comparison, traditional Boolean logic computers would need more than a decade to perform the same task. Let that sink in for a moment.

In contrast, current desktop computers have the power to run billions of operations. So, the difference is vast. This kind of capability of quantum computers has made them so attractive for applications where this power is necessary, like modeling and encryption.

Which brings us to:

These computers were owned by IBM, the University of Bristol in England, the Center for Quantum Computing and Communication Technology, the University of New South Wales in Australia, and the University of Science and Technology in China. All of these computers are small in size. D-Wave supplies Lockheed Martin, Google, Nasa, and USRA with the bigger type of quantum computers.

Statistics of quantum computers show that some of these companies have more than one quantum computer. Last year, IBM developed a 53 qubit quantum computer, and Rigetti computing announced a 128 qubit quantum computer.

Next:

This number is in concordance with the D-Wave quantum computer from Google and NASA in 2015, which solved an optimization problem in a couple of seconds. According to them, a classical computer would take 10,000 years to solve the same optimization problem. It does seem like it is impossibly faster, but that is the charm of the exponential power of quantum mechanics.

The US Bureau of Labor Statistics does not collect data specifically for the position of a quantum computer research scientist. Instead, it counts these positions as physicists. In 2015 there were 15,650 physicists employed.

As for job growth, in July 2018 there were 188 new job openings. That may not sound like a lot, but the corresponding figure for October 2017 was 45. Quantum computing statistics show a massive increase in the last couple of years.

Coincidentally, our website offers some of the **best science jobs** available at the moment. Feel free to check them out by making a search query on our homepage.

Once again, the only data we have is the data from the BLS about physicists. Statistics in quantum computing reveal that salaries are likely to go up since big companies like Intel, IonQ, Google, D-Wave, and others are trying to build bigger, faster, and better quantum computers, which will need more skilled professionals to operate.

This bill should guide federal science agencies to invest in quantum technology rather than in classic binary logic for the next 10 years since it is a quantum computing fact that the future will be too much to handle for traditional computers. Additionally, the bill should instruct the agencies to train people for quantum computing-related jobs by building five institutes dedicated to quantum computing, in order to overcome the pending shortage of professionals. This bill is yet to be scheduled for the full vote in the House of Senate.

Looking from our present vantage point, the start was not that impressive. The first quantum computers operated with 2 qubits in 1998. Two years later, we got quantum computer systems of 5 and 7 qubits. In 2006 and 2008, quantum computer systems operated with 12 and 28 qubits, respectively.

Quantum computing statistics show that the first quantum computer system to operate with 50 qubits was designed in 2017, and we’re expecting a 128 qubit one soon. Now, that these computers are not perfect and that is a quantum computer fact. But what can be a flaw in one situation can become an advantage in the next.

With that in mind, let’s have a look at some…

Quantum computing will have its primary application in AI, which can become more accurate when it gets feedback.

The thing is:

This feedback comes from calculating the probabilities for many possible alternatives. But one of the amazing facts about quantum computers is that it will not stop with artificial intelligence. Quantum computing is expected to benefit every industry and revolutionize the modern economy to the same extent electricity did when it was discovered.

And that’s not all:

Another way quantum computing can be beneficial is precision modeling for chemical reactions. An interesting fact about quantum computers is that a quantum computer can determine the optimum configuration for a chemical reaction. Since these reactions can be very complex, only the simplest molecules can be analyzed by traditional computers.

What’s more:

Using quantum computing advantages for improved online security can be very beneficial. Today’s online security relies on the difficulty to factor large numbers into primes. This is a lot to ask for from traditional computers, since searching through every possible factor can take an incredible amount of time, rendering it costly and impractical. But, since that is just the kind of task for a quantum computer, these security methods will become obsolete in the future.

Of course, nothing is as perfect as it seems. Quantum computing has many advantages, but there are some negatives.

Here’s the deal:

The name of the enemy is decoherence. As you can imagine, quantum computers are extremely hard to build and program. Because of that, there can be many errors like faults, noise, or loss of quantum coherence (decoherence).

It gets worse:

This decoherence stems from temperature fluctuations, vibrations, electromagnetic waves and other impacts from the outside environment, and it can destroy the properties quantum computers are known for.

And as if that wasn’t bad enough:

There are more dangers of quantum computing. For instance, one powerful quantum computer could crack even the most cryptographic algorithms that keep our data safe. In the wrong hands, it could jeopardize the data held by the stock exchange, hospitals, banks, etc.

And on that ominous note…

Although there are not many quantum computing statistics, it’s safe to say that quantum computing is here to stay.

Bottom line:

In the next decade, you can expect quantum supercomputers to be available from the cloud. Big web search and cloud AI services will utilize the advantages of the power of quantum computers, even though there are still a lot of people absolutely unaware of that.

But now that you’ve read our article, you’re no longer one of them!

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