2019-09-28_The_Economist_-_UK

(C. Jardin) #1

16 Leaders The EconomistSeptember 28th 2019


1

“N

ature isn’tclassical, dammit, and if you want to make a
simulation of nature you’d better make it quantum me-
chanical, and by golly, it’s a wonderful problem because it
doesn’t look easy.” With those words, in 1981, Richard Feynman,
an American physicist, introduced the idea that, by harnessing
quantum mechanics, it might be possible to build a new kind of
computer, capable of tackling problems that would cause a run-
of-the-mill machine to choke. Feynman was right: it has not
been easy. Over the past four decades quantum computers have
slowly evolved from squiggles on theoreticians’ blackboards to
small machines in university laboratories to research projects
run by some of the world’s biggest companies.
Now one of those machines, built by researchers at Google,
has at last shown what all the fuss is about. It ap-
pears to have performed, in just over three min-
utes, a task that, the researchers estimate, the
world’s most powerful classical supercomputer
would take around 10,000 years to complete.
Google’s machine is a special-purpose device
that was designed to solve a contrived problem
with few practical uses. But this display of so-
called “quantum supremacy” is nonetheless a
milestone (see Science section).
What might quantum computing actually be used for? That
question is obscured by the piles of money and hyperbole that
surround it. Along with 5gandai, it is one of the technologies
that presidents, of both countries and companies, love to cite.
China and America have pledged to invest billions of dollars in it.
There is excited talk of a race, and of the riches and power that
await the first to seize the “Holy Grail of computing”.
Despite the breathlessness, quantum computers are not mag-
ical. A rich body of theoretical work proves that they will be po-
tent, but limited. For all the talk of supremacy, quantum com-
puters are not superior in every regard to their classical cousins.
Indeed for many tasks they will offer little improvement. Yet for

some problems—but only some—clever programmers or math-
ematicians can create algorithms that exploit the machines’
quantum capabilities. In those special cases, quantum comput-
ers offer huge gains, crunching tasks that would otherwise take
years or millennia down to minutes or seconds.
Several of these algorithms have been developed. They offer a
glimpse of where quantum computers mightexcel.In encryp-
tion, for example, a quantum machine could quickly untangle
the complex maths that underlies much of the scrambling that
protects information online. A world with powerful quantum
computers, in other words, is one in which much of today’s
cyber-security unravels. Tech firms and governments are inves-
tigating new foundations for encryption that are not known to
be susceptible to quantum computers. But de-
ploying them will be the work of decades.
As Feynman pointed out, classical comput-
ers struggle to simulate the quantum-mechani-
cal processes that underpin physics and chem-
istry. Quantum computers could do so with
aplomb, a useful trick for developing everything
from pharmaceuticals to petrochemicals. Their
ability to solve optimisation problems could
help financial firms improve their trading algorithms. Artificial-
intelligence researchers hope that quantum computers could of-
fer a boost to their algorithms, too.
For now, though, all that lies in the future. Google’s machine
is best thought of as a Sputnik moment. By itself, Sputnik did
nothing but orbit Earth while beeping. But it proved a concept,
and grabbed the world’s attention. Google’s accomplishment is
one in the eye for quantum-computing sceptics. It strongly sug-
gests the promise of quantum technology can be realised in prac-
tice as well as theory. And it will draw even more money and at-
tention to a red-hot field. A great deal of engineering work
remains before quantum computers can be used for real-world
tasks. But that day has suddenly got closer. 7

Supreme achievement


A demonstration of quantum computing’s power is a defining moment for a field prone to hype

Quantum computers

“F

rom ninetill five, I have to spend my time at work,” war-
bled Martha and the Muffins back in 1980. “My job is very
boring, I’m an office clerk.” Many of the hundreds of millions of
people who trek into an office will feel as despondent at the pros-
pect as Martha did. The office needs a revamp (see Business sec-
tion). But the crisis at WeWork, a trendy office-rental firm whose
boss, Adam Neumann, stepped down this week after its attempt
to float its shares turned into a debacle, shows that businesses
are still struggling to come up with a new format.
The large office, like the factory, is an invention of the past
two centuries. The factory arose because of powered machinery,

which required workers to be gathered in one place. Big offices
grew from the need to process lots of paperwork, and for manag-
ers to instruct clerks on what to do. But now the internet, perso-
nal computing and handheld devices mean that transactions can
be dealt with on-screen and managers can instantly communi-
cate with their workers, wherever they are. The need for staff to
be in one place has been dramatically reduced.
A new model may take time to emerge—electric power was
first harnessed in the 1880s but it was not until the 1920s that fac-
tories changed their layouts to make full use of it. The new model
will have to balance three factors: the desire of many workers for

Work in progress


Beyond the fiasco at WeWork, white-collar workers are facing a two-tier office system

The future of the office
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