Helstrom Measurement
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In
mathematics Mathematics is an area of knowledge that includes the topics of numbers, formulas and related structures, shapes and the spaces in which they are contained, and quantities and their changes. These topics are represented in modern 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 prob ...
, the Bures metric (named after Donald Bures) or Helstrom metric (named after Carl W. Helstrom) defines an infinitesimal distance between density matrix 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 Edua ...
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 mathema ...
G may be defined as : (\rho, \rho+d\rho)2 = \frac\mbox( d \rho G ), where G is Hermitian 1-form operator implicitly given by : \rho G + G \rho = d \rho, 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 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 : D_B(\rho_1,\rho_2)^2 = 2(1-\sqrt), where the fidelity function is defined as : F(\rho_1,\rho_2) = \left \mbox( \sqrt)\right2. Another associated function is the Bures arc also known as Bures angle, Bures length or
quantum angle In physics, a quantum (plural quanta) is the minimum amount of any physical entity (physical property) involved in an interaction. The fundamental notion that a physical property can be "quantized" is referred to as "the hypothesis of quantizati ...
, defined as : D_A(\rho_1,\rho_2) = \arccos \sqrt, 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 : (\rho, \rho+d\rho)2 = \frac \mbox\left( \frac L_ \right) d \theta^ d\theta^, which holds as long as \rho and \rho+d\rho have the same rank. In cases where they do not have the same rank, there is an additional term on the right hand side. L_\mu is the Symmetric logarithmic derivative operator (SLD) defined from : \frac = \frac. In this way, one has : (\rho, \rho+d\rho)2 = \frac \mbox\left \rho \frac \rightd \theta^ d\theta^, where the quantum Fisher metric (tensor components) is identified as : J_ = \mbox\left \rho \frac\right The definition of the SLD implies that the quantum Fisher metric is 4 times the Bures metric. In other words, given that g_ are components of the Bures metric tensor, one has : J_^ = 4 g_. 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 in ...
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 les ...
.


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 : (\rho, \rho+d\rho)2 = \frac\mbox\left d \rho d \rho + \frac(\mathbf-\rho)d\rho (\mathbf-\rho)d\rho \right : (\rho, \rho+d\rho)2 = \frac\mbox\left d \rho d \rho + \frac (\mathbf-\rho)d\rho (\mathbf-\rho)d\rho + \frac (\mathbf-\rho^)d\rho (\mathbf-\rho^)d\rho \right For general systems, the Bures metric can be written in terms of the eigenvectors and eigenvalues of the density matrix \rho=\sum_^n\lambda_j, j\rangle\langle j, as : (\rho, \rho+d\rho)2 = \frac \sum_^ \frac, as an integral, : (\rho, \rho+d\rho)2 = \frac\int_0^\infty\text ^d\rho e^d\rho dt, or in terms of
Kronecker product In mathematics, the Kronecker product, sometimes denoted by ⊗, is an operation on two matrices of arbitrary size resulting in a block matrix. It is a generalization of the outer product (which is denoted by the same symbol) from vectors to ...
and vectorization, : (\rho, \rho+d\rho)2 = \frac\text \rho\dagger\big(\rho^*\otimes \mathbf+\mathbf\otimes\rho\big)^\text \rho where ^* denotes complex conjugate, and ^\dagger denotes conjugate transpose. 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 : \rho = \frac( I + \boldsymbol ), where \boldsymbol is the vector of Pauli matrices and \boldsymbol is the (three-dimensional) Bloch vector satisfying r^2\stackrel \boldsymbol \le 1 . The components of the Bures metric in this parametrization can be calculated as : \mathsf = \frac+\frac . The Bures measure can be calculated by taking the square root of the determinant to find : dV_B = \frac, which can be used to calculate the Bures volume as : V_B = \iiint_\frac = \frac .


Three-level system

The state of a three-level system can be parametrized with eight variables as : \rho = \frac( I + \sqrt \sum_^8\xi_\nu\lambda_\nu), where \lambda_\nu are the eight Gell-Mann matrices and \boldsymbol \xi \in\mathbb^8 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 Edua ...
*
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 *
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