Quantum computers will allow artificial intelligence, big data, and machine learning to become far more advanced. Many researchers are working on the advancement of quantum computers, and it won’t be long before their use becomes widespread.

Several major corporations are already using quantum computers for machine learning and artificial intelligence. The quantum computers that are already in use have more than 100 million times the computing power of any classical computer.

How Will Artificial Intelligence Improve As A Result Of Quantum Computing?

Artificial intelligence that’s powered by classic computers is often only capable of finding one solution to a problem at a time. However, quantum computers can come up with multiple solutions to a problem simultaneously. This is because quarks act as the computer’s bits (qubits). While stream processing is efficient and allows artificial intelligence to find multiple solutions to a problem, artificial intelligence powered by quantum computers will be able to do it faster and analyze more complex scenarios.

Quantum computers will be able to work on multiple calculations simultaneously. Therefore, quantum powered artificial intelligence will “think” more fluidly.

The raw computing power of quantum computers is incredibly vast. A quantum computer with 500 qubits has the computing power of a hypothetical classical computer with a number of bits around 10 to the 78th power!

Artificial intelligence that uses quantum computers will be able to do things that weren’t possible before, such as the following feats:

Cloud Technology And Quantum Powered AI

Cloud technology will play an increasing role in artificial intelligence when the use of quantum computers becomes widespread. This is because quantum computers won’t be in many homes or businesses until the distant future. Therefore, cloud technology will be the only way that most people will be able to access a quantum computer.

How Is Quantum Computing Likely To Improve Big Data?

Quantum computers will be capable of going through databases much faster and more effectively than classical computers. They will be able to analyze the data from multiple angles at the same time. This will enable businesses to more effectively find all of the strategies that must be implemented in an advertising campaign. Once the use of quantum computers becomes widespread, a majority of people may start paying close attention to the advertisements that are designed using information from big data.

In addition, quantum computers will help to law enforcement agencies to use big data more effectively. Quantum computers will ensure that the big data of tomorrow helps to solve crimes much more effectively than the big data of today.

How Will Quantum Computing Lead To Advancements In Machine Learning?

Machine learning is the ability of computers to learn without being programmed.

Quantum computers will be far more capable of “learning” without programming than any classical computer ever could be.

This is because quantum computers will have more opportunities for machine learning. They are capable of doing more than one computation at the same time, and this gives them more opportunities to form new connections.

Quantum computers are currently able to recognize real world objects. Classical computers are rarely able to do this, and it’s strong evidence of the incredible level of machine learning that quantum computers will be capable of.

The advances in machine learning are likely to allow computers to perform new tasks, such as the following:

  • Map the entire human genome
  • Create effective simulations of the human body down to the molecular level
  • Prevent fraud more effectively
  • Develop more effective speech recognition software

Quantum Computers Will Be Much More Secure

Quantum computers cannot be hacked. Therefore, they would greatly reduce the frequency of cyber-attacks on artificial intelligence and major databases. It may be possible for quantum computers to keep databases that classical computers wouldn’t be able to keep due to security concerns.

About the author

Kevin Faber is the CEO of Silver Summit Capital. He graduated from UC Davis with a B.A. in Business/Managerial Economics. In his free time, Kevin is usually watching basketball or kicking back and reading a good book.

Follow him on Twitter: @faber28kevin