Illustration: Bryan Christie Design
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Click Here to learn the
basics of a Qubit and Quantum Entanglement
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Since then, physicists have come up with at least half
a dozen potential ways to do quantum
computation—including using the atomic nuclei in
dissolved organic compounds as qubits and manipulating
electrons within superconducting loops. With few
exceptions, though, these schemes will never lead to a
quantum computer that can solve a useful problem,
because they simply can't handle more than a dozen or so
qubits, and what's needed are hundreds—if not thousands.
We can't construct a full-scale ion trap big enough to
house that many qubits. So the only way we can see to
build a practical quantum computer is to borrow a page
from the electronics industry and build the equivalent
of quantum integrated circuits. The analogy here is to
transistors—traps work pretty much the same way if you
shrink them down enough and put many of them on the same
piece of semiconductor. That was demonstrated just last
year when our research group at the University of
Michigan and Wineland's group at NIST independently
produced the first ion-trap microchips built with the
same techniques that microprocessor and MEMS makers
employ. These chips are far from being useful computers
themselves, but they are the first step in a path that
could take us beyond the limits of computing as we know it.
The heart of any quantum
computer, whether it's built on a sliver of
semiconductor or not, is the qubit. A word about the
qubit: it's odd.
In an ordinary computer, information is stored as
bits, usually a minuscule reservoir of charge or the
charge's absence in a memory cell's capacitor. At any
given instant, an ordinary binary digit can be in one
and only one of two different states. But the value of a
qubit is determined by the quantum states of individual
particles. So, like those quantum states, a qubit can
have the value 1, or 0, or it can be—in the paradoxical
world of the quantum—both values at the same time. This
versatility is central to the power of quantum
computers. In an ordinary computer you can represent a
number between 0 and 31 using five binary digits. But
using the same number of qubits you could represent all
32 numbers at once and perform the same calculation on
them simultaneously. And that's not even the end of the
weirdness: two or more qubits can be linked together in
ways no two transistors could ever be, influencing each
other instantaneously—even if they are separated by a
distance of light-years.
The specific quantum state of a particle that is
generally exploited to determine a qubit's value is
called spin. In an ion-trap computer as well as several
other schemes, the value of a qubit is determined by the
direction of a particle's spin state.
Spin is a measure of a particle's angular momentum.
Angular momentum is easy to understand for large
spinning objects like a basketball, but photons,
electrons, and other fundamental particles that make
good qubits are as close as you can get to being
dimension less points in space. The question is, How can
they spin?
It was time to show that ion- trap quantum
computers could be scaled up. And that meant
shrinking them down
They don't. Like many aspects of quantum mechanics,
spin makes no intuitive sense—even to physicists. But
it's real, and it's something measurable. For a
particle, spin is an intrinsic property like charge, not
something that comes about because of physical rotation.
Spin has direction—up or down, in quantum computing's
shorthand—and it's the direction we use to represent
the value of the qubit. The qubits used in ion-trap
quantum computers rely on the spin state of an ion's
outermost electron and that of its nucleus. If the
electron's spin is aligned with that of the nucleus it
orbits, we say the qubit is in the 1 state. If the two
quantum states are pointing in opposite directions, we
say the qubit is in the 0state. And the qubit ion can be
put in a combination of 1 and 0 if the electron's spin
is itself a combination of up and down.
This ability of a qubit to have two values
simultaneously is called the principle of superposition,
and it allows a register of qubits to hold exponentially
more information than the register with the same number
of classical bits. For two ordinary bits, for example,
the possible combinations are 00, 01, 10, or 11. But for
qubits in a state of superposition, their values could
be all four of those numbers at the same time.