Quantum computing could break the internet. This is how
The next generation of quantum computers will open a new world of possibilities, but also pose enormous risks to our online security
But in 1994 the American mathematician Peter Shor wrote an algorithm that could theoretically run on a powerful quantum computer to crack the RSA encryption protocol most commonly used to secure online transactions. The RSA algorithm exploits the fact that while it is very easy to multiply two large prime numbers, no one has yet discovered an efficient way for a classical computer to perform the calculation in reverse. Shor showed how a quantum computer could do so relatively easily. A recent research paper published in China explored the possibility that a hybrid classical-quantum computing approach might be able to pull Q-day forward.
Excited by the possibilities of building the first robust quantum computer, and terrified by the prospect of coming second, the world’s leading powers are now in a race to develop the technology. Not only can quantum computers be used to crack existing encryption methods, they can also be used to secure communications in a quantum world — and governments, corporations and venture capitals have been investing heavily with a view to commercialising the technology.
But how does quantum computing actually work? To understand the answer, first you need to understand how a classical computer functions.
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That’s how it should work, at least.
In reality, there are a number of issues separating today’s quantum computers from future versions that could dependably solve problems classical computers struggle with.
The biggest challenge is keeping the qubits in a stable position long enough for them to be usable. Qubits are made of notoriously fragile sub-atomic particles in delicate quantum states that are easily disrupted.
Any interaction with the surrounding environment — small amounts of heat, electronic signals, magnetic fields and even cosmic rays — can impact the state of qubits.
Timothy Spiller, director of the Quantum Communications Hub at the Engineering and Physical Sciences Research Council, explains that this “outside noise” masks what is going on in the quantum machine — and makes measuring the correct answer extremely difficult. “If you’ve got a signal and the noise becomes comparable with that, you simply lose the signal. It just gets swamped in the background noise. And that’s true in the quantum case . . . it loses the refinement.”
Some interaction with the environment is necessary, as we eventually need to measure the qubits to return an answer. But this outside engagement creates issues of reliability. That is why most prototype quantum computers operate in a cryogenic chamber just above absolute zero. At minus 273C, the chamber is colder than deep space.
This loss of quantum coherence, known as decoherence, has been likened to the difficulty of controlling a long line of distracted kittens and stopping them from wandering off in every direction.
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Even the rudimentary quantum technologies we have today can help companies optimise their logistics operations or enable doctors to monitor brain activity in sick children, as they are in the Port of Los Angeles and a Toronto hospital respectively. But a whole new world of possibilities will open up if researchers can succeed in developing robust, error-free quantum computers.
The race to develop the technology is driven both by the prospect of commercial gain and geopolitical rivalry between the great powers. Several of the world’s biggest tech companies, including Google, IBM, Microsoft and Honeywell, have been investing heavily in quantum — as well as a small army of start-ups.
In spite of a broader tech sector downturn, investors poured a record $2.35bn into quantum start-ups last year, according to data compiled by management consultants McKinsey. Much of the investors’ focus was on quantum computing, communications and sensing.
Many governments view quantum technology as a strategic imperative and have been increasing spending on research and development. Last year, the US committed an additional $1.8bn while the EU pledged another $1.2bn. In March, the UK launched a 10-year programme to invest £2.5bn. But these efforts are dwarfed by China, which has announced total investments of $15.3bn to date.
The first company to develop a reliable quantum computer could generate billions in revenues. McKinsey estimates the four industries most impacted by the development of quantum computing — automotive, chemicals, financial services, and life sciences — could potentially gain $1.3trn in value by 2035.
Quantum technology might help us invent new materials and drugs, develop smarter financial trading strategies and create secure new methods of communication. “The prospect of quantum computing opens up entirely new areas of technology,” says David Cowan, a partner at Bessemer Venture Partners, a San Francisco-based venture capital firm. “We can unlock solutions that we just couldn’t even dream of achieving in the past.”
As well as being enticed by the economic possibilities, governments are concerned about the security implications of developing quantum computers. At present, the most common method used to secure all our digital data relies on the RSA algorithm, which is vulnerable to being cracked by a quantum machine.
The RSA encryption method relies on the immense difficulty of factoring the product of two large prime numbers.
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Shor says that the “toy” quantum computers we have today are not reliable enough to run his algorithm. It will take several conceptual breakthroughs and a huge engineering effort before we can scale quantum computers to the necessary 1mn qubits.
His best guess as to when this might happen? “I would predict between 20 and 40 years,” he says. But he does not rule out the possibility that the physics challenges will prove too hard and we will never build workable quantum computers. Shor, who has worked as a maths professor at MIT for 20 years, has also published poetry on quantum computing.quantum computing.
“The best quantum computers today, produced in countries like China and at Google, can do on the order of 100 operations before failure”, explains Steve Brierley, founder and chief executive of Riverlane — a company building operating systems for quantum computers. “To implement Shor’s algorithm you need something like a trillion quantum operations before failure.”
But researchers are employing all kinds of ingenious techniques to overcome these challenges. “Scientific breakthroughs don’t always come on a predictable time. But we’re looking at years and not decades for this level of innovation,” says Julie Love, product leader for quantum computing at Microsoft.
For several years, the US government has been planning for a quantum world and has been running competitions to find the most secure communication protocols of the future that would forestall the threat of Q-day. The US National Institute of Standards and Technology is in the process of approving new cryptography systems — based on problems other than factorisation — that are secure against both quantum and classical computers. “It’s really a race between quantum computers and the fix — which is to stop using RSA”, says Brierley.
But whatever new security protocols are finally approved, it will take years for governments, banks and internet companies to implement them. That is why many security experts argue every company with sensitive data should be preparing for Q-day today.
However, the obstacles to developing 1mn-qubit quantum computers remain daunting, with some private sector investors predicting a “quantum winter” as they lose faith in how quickly a quantum advantage can be achieved.
Even if private sector investment slows, the escalating geopolitical rivalry between the US and China will provide added impetus to develop the world’s first robust quantum computer. Neither Washington nor Beijing wants to come second in that particular race.
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Additional Reporting by Josh Gabert-Doyon and Edwin Lane. Additional development by Emma Lewis. With thanks to Peter Sigrist, Glenn Manoff and Ben Barber.
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