The
processor of a quantum computer at D-Wave Systems’ lab in Burnaby, British
Columbia.
The
long-sought quantum computer, a machine potentially far ahead of today’s best
supercomputers, is almost as hard to define as it is to build. For at least a
few particular uses, however, the unusual computer made by D-Wave Systems now
seems to be very fast indeed.
Next week a
professor at Amherst College will present her findings about the performance of
the D-Wave machine, which its makers say makes use of such unusual properties
of quantum physics as a particle’s ability to move in one direction and its
opposite at the same time.
The
professor, Catherine C. McGeoch, who is the Beitzel professor in technology and
society at Amherst, gave the machine a so-called optimization problem and
compared the results with those generated by
popular software from I.B.M. running on a high-performance machine.
The D-Wave
machine, she said, was 3,600 times as fast as the conventional system.
“There is
no sense in which this is the definitive statement about quantum computing,”
Ms. McGeoch said. “I’m more interested in how well it works, not whether or not
it is quantum.”
That
question matters a great deal to some others in the field. While quantum
properties are among the most tested and proven domains of physics, the
concepts behind them — for example, suggestions that we live in one of many
universes, or that objects not in direct contact can affect each other — make
such properties hard to accept.
Harnessing
them for the sake of computation, suggested as a possibility more than two
decades ago, has proved difficult.
The
optimization problem is typically something like how a traveling salesman would
plan a complicated trip most effectively. Ms. McGeoch tested three problems
involving optimization. In two of them, the D-Wave computer was slightly
faster. In the third, it was markedly faster.
D-Wave,
which was the subject of an article in The New York Times in March, has been
criticized for making claims about its quantum capabilities that cannot be
supported.
Over time,
however, D-Wave’s performance has improved, and the skeptics have toned down
their criticism. Nonetheless, D-Wave is sensitive about the issue and, even
after selling a working machine to Lockheed Martin, eager to rebut the
criticism.
Ms.
McGeoch, who has spent more than 25 years testing computer speeds, performed
the experiments while on sabbatical and was retained by D-Wave to run the
tests.
D-Wave
solves optimization problems by setting them in the context of energy
consumption: the lowest power needed to achieve a stated outcome, which it says
is quickly achieved through a quantum process, is the answer. D-Wave thinks
that many problems in computing might be restated as optimization problems and
that its machine could be coupled with cloud computing systems for particularly
hard problems.
Ms. McGeoch
said D-Wave’s chips had performed well and might have better outcomes in the
future, as its machines become more powerful, and more complex optimization
problems are set.
“There
could be a tipping point,” she said. “If the problems get big enough,
conventional systems break down. In theory, you could solve a large number of
optimization problems. People don’t know how to do that conventionally without
losing a lot of efficiency.”
by Kim Stallknecht
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