In-depth

What are the benefits of quantum computing?

This emerging technology promises to revolutionise computing, but we're some way from general availability

quantum computing qubit in superposition

Quantum computing. The term sounds almost mythical, almost the stuff of science fiction. And what it describes is as revolutionary as the invention of the computer itself. With apologies to the sheer technical complexity of how quantum computing works, here's a basic definition.

Standard computing is binary. The bits that it manipulates can be in one of two states on or off, yes or no, up or down, that kind of thing. Quantum computing works with quantum bits (or qubits) which can be in 'superpositions of states', which is to say they can be in many different states not just binary  at the same time.

The potential is for massively faster, massively more efficient calculations, and that's handy because we are generating more data now than ever before, need to analyse that data in more complex ways, and get results out faster.

But hold up a second. Does this mean that everything from weather forecasting to sending emails round the internet will achieve a giant speed and power leap thanks to quantum computing? And will your next laptop be quantum? The answers to those questions are no, and no but that's not the end of the story. Like quantum computing itself, the answer is more complex than that.

What is quantum computing for?

We spoke to Mark Potter, SVP and CTO of Hewlett Packard Enterprise and director of Hewlett Packard Labs, an organisation that's at the forefront of quantum research, but is also seeking to temper expectations of the technology.

"Immediate problems that we are currently being overwhelmed by, such as mainstream enterprise analytics  Big Data and AI  are not going to be solved by quantum computing," explains Potter. "Quantum computing, by its very nature, is not going to be useful for real customer problems involving Big Data."

This is primarily due to the massive volumes of data required to power AI; quantum computers simply can't process such data sets in bulk. That doesn't mean they're useless, however just that they will make their impact felt initially in more niche areas.

"Quantum computing will have a revolutionary impact on our understanding of quantum systems and will be good at solving intrinsically quantum problems," says Potter. "For example, it can help us solve physics problems where quantum mechanics and the interrelation of materials or properties are important. At an atomic level, quantum computing simulates nature and therefore could help us find new materials or identify new chemical compounds for drug discovery. It holds the promise of being able to take on problems that could take a normal computer billions of years to solve and do it in seconds."

When will quantum computing come on the market?

As to the question of when quantum computing will become mainstream, Potter explains that there are a number of hurdles to overcome before it's able to see practical application, most notably its ability to produce reliable and repeatable results.

What's more likely to happen is that we'll see a number of "quantum-like" technologies emerge over the next few years. One such technology is Fujitsu's Digital Annealer, described as "the world's first quantum-inspired technology".

Quantum annealing is when the superposition of a qubit is collapsed, causing it to become either a binary 1 or 0. Normally the odds of a qubit becoming a 1 or a 0 are 50/50, but certain processes can be applied to make it more likely it will become one or the other.

Yves De Beauregard, EMEIA head of digital business solutions at Fujitsu Global tells IT Pro the company's Digital Annealer is "inspired by the theory of quantum annealing" and claims that "companies across the globe are already using it".

When it comes to full quantum computing, De Beauregard says that ultimately it is achievable "but we're years away from realising true quantum capabilities for real world problems".

"It's not completely impossible ... that it may become a reality in the next five years, but looking at where we currently stand in the innovation lifecycle, it will take significant investment and technology breakthroughs to make this happen."

Despite many large technology companies heralding quantum as the next major breakthrough in computing, their investments suggest there's a degree of disagreement as to how we will get there.

"Even the big companies are betting on different technologies, which gives a good idea of how much uncertainty there is about which technology to bet on, and if there will be only one standard," explains Syed Adil Rab, quantum computing lead at Cogisen.

"Today we can already access some of IBM's quantum computers through the cloud for high level scientific research and within the next year they will make a much larger and more powerful quantum computer (even though not perfect) available to the public. Depending on the results the scientific community achieves with these machines, we'll see the amount of investment (public and private) change and it will determine when we will have a large scale commercial distribution."

He adds that we're unlikely to see anything close to a universal quantum computer for at least five years, and even if that happened there wouldn't be widespread market adoption until we're well into the 2030s.

Like HPE's Mark Potter, Syed Adil Rab thinks materials science and biochemistry will be important beneficiaries of quantum computing. But he is very open minded about the possibilities of the tech more broadly.

"It is hard to see the business case for the entertainment and gaming industry at this point, because there does not appear to be a demand for the vast processing power quantum computing can offer," he explains.

"But who knows what we will see in the future? It's like asking electrical engineers and computer scientists back in the 1950s whether it would be possible to have services like Netflix and multiplayer online role-playing games. That is the exciting opportunity quantum computing presents. We are only at the start of discovering its potential."

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