In
mathematics, in the area of quantum
information geometry
Information geometry is an interdisciplinary field that applies the techniques of differential geometry to study probability theory and statistics. It studies statistical manifolds, which are Riemannian manifolds whose points correspond to p ...
, the Bures metric (named after Donald Bures) or Helstrom metric (named after
Carl W. Helstrom
Carl W. Helstrom (1925–2013) was one of the earliest pioneers in the field of quantum information theory. He is well known in this field for discovering what is now known as the Helstrom measurement, the quantum measurement with minimum error p ...
) defines an infinitesimal distance between
density matrix
In quantum mechanics, a density matrix (or density operator) is a matrix that describes the quantum state of a physical system. It allows for the calculation of the probabilities of the outcomes of any measurement performed upon this system, usin ...
operators defining
quantum state
In quantum physics, a quantum state is a mathematical entity that provides a probability distribution for the outcomes of each possible measurement on a system. Knowledge of the quantum state together with the rules for the system's evolution in ...
s. It is a quantum generalization of the
Fisher information metric In information geometry, the Fisher information metric is a particular Riemannian metric which can be defined on a smooth statistical manifold, ''i.e.'', a smooth manifold whose points are probability measures defined on a common probability space. ...
, and is identical to the
Fubini–Study metric
In mathematics, the Fubini–Study metric is a Kähler metric on projective Hilbert space, that is, on a complex projective space CP''n'' endowed with a Hermitian form. This metric was originally described in 1904 and 1905 by Guido Fubini and E ...
when restricted to the pure states alone.
Definition
The Bures
metric
Metric or metrical may refer to:
* Metric system, an internationally adopted decimal system of measurement
* An adjective indicating relation to measurement in general, or a noun describing a specific type of measurement
Mathematics
In mathem ...
may be defined as
:
where
is Hermitian 1-form operator implicitly given by
:
which is a special case of a
continuous Lyapunov equation.
Some of the applications of the Bures metric include that given a target error, it allows the calculation of the minimum number of measurements to distinguish two different states and the use of the volume element as a candidate for the
Jeffreys prior
In Bayesian probability, the Jeffreys prior, named after Sir Harold Jeffreys, is a non-informative (objective) prior distribution for a parameter space; its density function is proportional to the square root of the determinant of the Fisher infor ...
probability density for mixed quantum states.
Bures distance
The Bures distance is the finite version of the infinitesimal square distance described above and is given
by
:
where the
fidelity function is defined
as
:
Another associated function is the Bures arc also known as Bures angle, Bures length or
quantum angle, defined as
:
which is a measure of the statistical distance
between quantum states.
Quantum Fisher information
The Bures metric can be seen as the quantum equivalent of the Fisher information metric and can be rewritten in terms of the variation of coordinate parameters as
:
which holds as long as
and
have the same rank. In cases where they do not have the same rank, there is an additional term on the right hand side.
is the
Symmetric logarithmic derivative operator (SLD) defined from
:
In this way, one has
:
where the quantum Fisher metric (tensor components) is identified as
:
The definition of the SLD implies that the quantum Fisher metric is 4 times the Bures metric. In other words, given that
are components of the Bures metric tensor, one has
:
As it happens with the classical Fisher information metric, the quantum Fisher metric can be used to find the
Cramér–Rao bound
In estimation theory and statistics, the Cramér–Rao bound (CRB) expresses a lower bound on the variance of unbiased estimators of a deterministic (fixed, though unknown) parameter, the variance of any such estimator is at least as high as the i ...
of the
covariance
In probability theory and statistics, covariance is a measure of the joint variability of two random variables. If the greater values of one variable mainly correspond with the greater values of the other variable, and the same holds for the le ...
.
Explicit formulas
The actual computation of the Bures metric is not evident from the definition, so, some formulas were developed for that purpose. For 2x2 and 3x3 systems, respectively, the quadratic form of the Bures metric is calculated as
:
:
For general systems, the Bures metric can be written in terms of the eigenvectors and eigenvalues of the density matrix
as
:
as an integral,
:
or in terms of
Kronecker product
In mathematics, the Kronecker product, sometimes denoted by ⊗, is an operation
Operation or Operations may refer to:
Arts, entertainment and media
* ''Operation'' (game), a battery-operated board game that challenges dexterity
* Oper ...
and
vectorization
Vectorization may refer to:
Computing
* Array programming, a style of computer programming where operations are applied to whole arrays instead of individual elements
* Automatic vectorization, a compiler optimization that transforms loops to vect ...
,
:
where
denotes
complex conjugate
In mathematics, the complex conjugate of a complex number is the number with an equal real part and an imaginary part equal in magnitude but opposite in sign. That is, (if a and b are real, then) the complex conjugate of a + bi is equal to a - ...
, and
denotes
conjugate transpose
In mathematics, the conjugate transpose, also known as the Hermitian transpose, of an m \times n complex matrix \boldsymbol is an n \times m matrix obtained by transposing \boldsymbol and applying complex conjugate on each entry (the complex c ...
. This formula holds for invertible density matrices. For non-invertible density matrices, the inverse above is substituted by the
Moore-Penrose pseudoinverse. Alternatively, the expression can be also computed by performing a limit on a certain mixed and thus invertible state.
Two-level system
The state of a two-level system can be parametrized with three variables as
:
where
is the vector of
Pauli matrices
In mathematical physics and mathematics, the Pauli matrices are a set of three complex matrices which are Hermitian, involutory and unitary. Usually indicated by the Greek letter sigma (), they are occasionally denoted by tau () when use ...
and
is the (three-dimensional) Bloch vector satisfying
.
The components of the Bures metric in this parametrization can be calculated as
:
.
The Bures measure can be calculated by taking the square root of the determinant to find
:
which can be used to calculate the Bures volume as
:
Three-level system
The state of a three-level system can be parametrized with eight variables as
:
where
are the eight
Gell-Mann matrices
The Gell-Mann matrices, developed by Murray Gell-Mann, are a set of eight linearly independent 3×3 traceless Hermitian matrices used in the study of the strong interaction in particle physics.
They span the Lie algebra of the SU(3) group in th ...
and
the 8-dimensional Bloch vector satisfying certain constraints.
See also
*
Fubini–Study metric
In mathematics, the Fubini–Study metric is a Kähler metric on projective Hilbert space, that is, on a complex projective space CP''n'' endowed with a Hermitian form. This metric was originally described in 1904 and 1905 by Guido Fubini and E ...
*
Fidelity of quantum states
In quantum mechanics, notably in quantum information theory, fidelity is a measure of the "closeness" of two quantum states. It expresses the probability that one state will pass a test to identify as the other. The fidelity is not a metric on the ...
*
Fisher information
In mathematical statistics, the Fisher information (sometimes simply called information) is a way of measuring the amount of information that an observable random variable ''X'' carries about an unknown parameter ''θ'' of a distribution that model ...
*
Fisher information metric In information geometry, the Fisher information metric is a particular Riemannian metric which can be defined on a smooth statistical manifold, ''i.e.'', a smooth manifold whose points are probability measures defined on a common probability space. ...
References
Further reading
*
*
*
*
*{{cite book , first1=M. A. , last1=Nielsen , first2=I. L. , last2=Chuang , title=Quantum Computation and Quantum Information , publisher=Cambridge University Press , year=2000 , isbn=0-521-63235-8
Quantum information science