One of the most important consequences of the subsystems
interpretation of encoding quantum information in a physical system is
that the encoded quantum information can be error-free even though
errors have severely changed the state of the physical system. Almost
trivially, any error operator acting only on the syndrome subsystem
has no effect on the quantum information. The goal of error correction
is to actively intervene and maintain the syndrome subsystem in states
where the dominant error operators continue to have little effect on
the information of interest. An important issue in analyzing error
correction methods is to estimate the residual error in the encoded
information. A simple example of how that can be done was discussed
for the quantum repetition code. The same ideas can be applied in
general. Let
be the physical system in which the
information is encoded and
an initial state
containing such information with the syndrome subsystem appropriately
prepared. Errors and error-correcting operations modify the
state. The new state can be expressed using environment labeling as
. In view of the
partitioning into information-carrying and syndrome subsystems,
``good'' states
are those states for which
acts only on the syndrome subsystem given that the
syndrome has been prepared. The remaining states
form the set of
``bad'' states,
. The error probability
can be bounded
from above by
In principle, we can obtain better expressions for
by
calculating the density matrix
of the state of the subsystem
containing the desired quantum information. This calculation involves
``tracing over'' the syndrome subsystem. The matrix
can then be
compared to the intended state. If the intended state is pure, given
by
, the probability of error is given by
, which is the probability that a
measurement that distinguishes between
and its orthogonal
complement fails to detect
. The quantity
is called the ``fidelity'' of the state
.
For applications to communication, the goal is to be able to reliably
transmit arbitrary states through a communication channel,
which may be physical or realized via an encoding/decoding scheme.
It is therefore important to characterize the reliability of the
channel independent of the information transmitted.
Eq. 30 can be used to obtain state-independent bounds
on the error probability but does not readily provide a single measure
of reliability. One way to quantify the reliability is to identify
the error of the channel with the average error
over all
possible input states. The reliability is then given by the average
fidelity
Another elegant way appropriate for QIP
is to use the ``entanglement
fidelity'' [20]. Entanglement fidelity measures
the error when the input is maximally entangled with an identical
``reference'' system. In this process, the reference system is
imagined to be untouched, so that the state of the reference system
together with the output state can be compared to the original
entangled state. For a one-qubit channel labeled
, the
reference system is a qubit, which we label with
. An
initial, maximally entangled state is
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(31) |
| (32) |