How It Works - UK (2020-02)

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DID YOU KNOW? Over 17 million experiments were run through IBM’s quantum computers in 2019


How significant is
Google’s breakthrough?
It’s a technical next step, but it’s not
necessarily as significant as some people
think. What Google has done is solved an
academic problem – one that is entirely
useless in a practical sense. It’s a problem
that’s chosen w ith one thing in mind:
whether a quantum computer can do
something a conventional computer can’t.

So why are we talking about it?
Google’s achievement demonstrates that
quantum computers are not like nuclear
fusion, which a lot of people often say is ten
years away, but never actually arrives.
When I started 20 years ago, people were
ver y sceptical. Most of my colleagues rolled
their eyes at me when I said I was going to
build a quantum computer. That’s because
it’s unbelievably hard to control the
quantum effects of atoms. So what Google
has achieved is still really nice, as it’s
demonstrated master y of manipulating 53
qubits. That’s a big milestone.

When do you think quantum
computing will come into its own?
Quantum computing w ill likely follow the
same development path as conventional
computers. In the 1940s, conventional
computers decided World War II by
breaking the German Enigma code.
However, while they were good for a
particular task, they couldn’t tell you
train times, handle word processing or
play v ideo games. It was another 40 to 50
years until we used them for literally
ever y thing. It’s a gradual process. Quantum
computers now are probably approaching
those in the 1940s. In the next five years,
these machines w ill be able to solve one
particular practical problem.

Prof Winfried Hensinger of


the University of Sussex


puts Google’s achievement


into perspective


“Quantum


computers now
are approaching

those in
the 1940s”

qubits, they could hold four values at once: 1-0,
0-1, 1-1 and 0-0. As the number of qubits grow, a
quantum computer ver y quickly becomes more
powerful than a conventional one, so it can
process information in a fraction of the time.
While Fey nman prov ided a blueprint for how
the technolog y could work, actually building a
quantum computer proved much harder. Qubits
are made from indiv idual atoms or subatomic
particles. Just tr y ing to control them risks
making them lose their quantum properties.
Just linking them together took years of work,
w ith the first t wo-qubit computer appearing
in 1998.
This all changed over 20 years ago, when
superconducting circuits were pioneered in
Japan. This involves cooling qubits to -273
degrees Celsius using powerful fridges. Using
this method, Intel has achieved 49 qubits, and
IBM boasts 53. Google’s game-changing
Sycamore processor also has 53 qubits, but the
tech giant’s already built another w ith 72. A start-
up w ith $119.5 million (£93 million) in funding
called Rigetti even says it’s working
on a 128-qubit system.
But it’s harder to cool large objects
than it is smaller ones, especially
when you need them to be colder
than the depths of space. So just as
superconducting qubits have
reached the size that they can
achieve quantum supremac y, they
may be about to outgrow the
refrigerators they rely on.
One alternative is to use ions, any atom w ith
an added electrical charge. These can be trapped

using microchips that emit electric fields.
Each microchip can then be used as a qubit.
Crucially, these can work at room temperature,
so solve the fridge problem. But trapped ions
have only been tested in labs,
and w ill take a long time to build
on the industrial scale that’s
needed. Microsoft, meanwhile, is
experimenting with topological
qubits, which would be less
sensitive to temperature, but
this involves splitting electrons.
You could say this technolog y is in
a quantum state of its ow n: it’s
both making important
breakthroughs and at the same time we’re only
just beginning to understand it.

“Feynman
provided a

blueprint
for how the

technology
could work”

Google’s CEO, Sundar Pichai,
inspects one of the search
giant’s quantum computers

© Google


Professor Hensinger thinks trapped-ion
quantum computers are the future

© University of Sussex
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