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In January 2019, IBM debuted its “Q System One”, as the first standalone quantum computer geared for scientific and commercial use. Quantum computing is a modern technology but one which is predicted to greatly accelerate the world of artificial intelligence (AI). In summary terms, quantum computing refers to computers based on quantum mechanics, a branch of physics that looks at a microscopic level whereas traditional physics looks at a more macroscopic level. [1]

Instead of using “bits” like classical computing, quantum computing works in “qubits”. Where a bit is a single piece of data that exists in two states (1 or 0), qubits can exist in any superposition of these values meaning they can store a lot more information. That means quantum computing can outperform classical computing.

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Quantum Computing & AI

König et al published a paper that proved quantum computing would be more powerful than classical computing. This might be expected given the fact that machines like D-Wave’s quantum computer perform at 100 million times faster than a classic computer but bigger doesn’t always mean better.

The paper showed that quantum computing outperforms classical computing and that quantum effects can “enhance information-processing capabilities and speed up the solution of certain computational problems.” König and the research team demonstrated that parallel quantum algorithms running in a constant time outperform classical computers. The scientists showed that quantum computers only required a fixed number of steps for problem solving and was better at “solving certain linear algebra problems associated with binary quadratic forms.”

AI systems thrive on data and the more of it, the better. Initial experiments have suggested that quantum computing can classify very complex sets of data more accurately according to specific characteristics and features. For example, in image recognition it can break down the data into a pixel by pixel basis, much finer detail than classical methods. These techniques are now being used in medical diagnosis or banking where improved accuracy is fundamental to the applications and industry.

Moreover, self-replicating AI like Google’s AutoML could theoretically scale with hardware advances to create algorithms more complex than we could even fathom right now, closing the gap between humans and robotics.

Impact on Cyber Security

It is widely thought that one of the most likely areas to benefit from quantum computing will be cyber security. The top 5 methods in 2018 (Triple DES, RSA, Blowfish, Twofish, AES) would all take many years to crack given the massive amount of computing power needed to do so. With quantum computing, which can supposedly hack these complex encryptions in seconds, everybody is suddenly going to be put at risk.

However, quantum computing will also make it far easier to create encryption, as much as it is to hack it. With the ability to create more complex algorithms, encryption will improve making it just as hard to crack, if not harder than standard computing. This will open up a lot of cyber security jobs as companies look to invest in these new complex algorithms before they are at risk from people who are trying to exploit the systems.

Impact on Robotics

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As discussed, quantum computing is considerably faster than traditional methods. Rapid responses could give rise to quantum robots. The quantum robot will be far more sophisticated than its classic relatives, being able to fully examine their environment and can even multitask. For example, a quantum robot going to Mars could be able to conduct a far more expansive analysis than current AI has the capability of doing. Quantum robots will be able to adapt to different environments in order to survive, process data at superior speed and, be more creative autonomously.

As we’ve only just cracked quantum computing, it is unlikely that we will see these robots too soon. That said, we are innovating faster than ever now and given that the entire field is only about 10 years old, who knows what is possible and at what speed!?

Quantum computing in the future

Quantum computing will be ground-breaking in AI, cybersecurity and robotics. Right now, platforms are just being released and research being done but IBM predict that it will become mainstream in around 5 years (don't forget Google, Microsoft, Amazon and others). The applications will solve problems that classic computing has never been able to and start to be embraced by industries and academics in the same way as artificial intelligence. Collaborations like the “Q System One” release coupled with the introduction of quantum theories in the classroom will propel us through the generations to come.

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