Quasiprobability distribution
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A quasiprobability distribution is a mathematical object similar to a
probability distribution In probability theory and statistics, a probability distribution is a Function (mathematics), function that gives the probabilities of occurrence of possible events for an Experiment (probability theory), experiment. It is a mathematical descri ...
but which relaxes some of Kolmogorov's axioms of probability theory. Quasiprobability distributions arise naturally in the study of
quantum mechanics Quantum mechanics is the fundamental physical Scientific theory, theory that describes the behavior of matter and of light; its unusual characteristics typically occur at and below the scale of atoms. Reprinted, Addison-Wesley, 1989, It is ...
when treated in phase space formulation, commonly used in
quantum optics Quantum optics is a branch of atomic, molecular, and optical physics and quantum chemistry that studies the behavior of photons (individual quanta of light). It includes the study of the particle-like properties of photons and their interaction ...
, time-frequency analysis, and elsewhere. Quasiprobabilities share several of general features with ordinary probabilities, such as, crucially, ''the ability to yield
expectation value In probability theory, the expected value (also called expectation, expectancy, expectation operator, mathematical expectation, mean, expectation value, or first moment) is a generalization of the weighted average. Informally, the expected va ...
s with respect to the weights of the distribution''. However, they can violate the ''σ''-additivity axiom: integrating over them does not necessarily yield probabilities of mutually exclusive states. Quasiprobability distributions also have regions of negative probability density, counterintuitively, contradicting the first axiom.


Introduction

In the most general form, the dynamics of a quantum-mechanical system are determined by a
master equation In physics, chemistry, and related fields, master equations are used to describe the time evolution of a system that can be modeled as being in a probabilistic combination of states at any given time, and the switching between states is determi ...
in
Hilbert space In mathematics, a Hilbert space is a real number, real or complex number, complex inner product space that is also a complete metric space with respect to the metric induced by the inner product. It generalizes the notion of Euclidean space. The ...
: an equation of motion for the
density operator In quantum mechanics, a density matrix (or density operator) is a matrix used in calculating the probabilities of the outcomes of measurements performed on physical systems. It is a generalization of the state vectors or wavefunctions: while thos ...
(usually written \widehat) of the system. The density operator is defined with respect to a ''complete''
orthonormal basis In mathematics, particularly linear algebra, an orthonormal basis for an inner product space V with finite Dimension (linear algebra), dimension is a Basis (linear algebra), basis for V whose vectors are orthonormal, that is, they are all unit vec ...
. Although it is possible to directly integrate this equation for very small systems (i.e., systems with few particles or degrees of freedom), this quickly becomes intractable for larger systems. However, it is possible to prove that the density operator can always be written in a ''
diagonal In geometry, a diagonal is a line segment joining two vertices of a polygon or polyhedron, when those vertices are not on the same edge. Informally, any sloping line is called diagonal. The word ''diagonal'' derives from the ancient Greek � ...
'' form, provided that it is with respect to an '' overcomplete'' basis. When the density operator is represented in such an overcomplete basis, then it can be written in a manner more resembling of an ordinary function, at the expense that the function has the features of a quasiprobability distribution. The evolution of the system is then completely determined by the evolution of the quasiprobability distribution function. The coherent states, i.e. right
eigenstate In quantum physics, a quantum state is a mathematical entity that embodies the knowledge of a quantum system. Quantum mechanics specifies the construction, evolution, and measurement of a quantum state. The result is a prediction for the system re ...
s of the annihilation operator \widehat serve as the overcomplete basis in the construction described above. By definition, the coherent states have the following property, \begin \widehat, \alpha\rangle&=\alpha, \alpha\rangle \\ ex\langle\alpha, \widehat^&=\langle\alpha, \alpha^*. \end They also have some further interesting properties. For example, no two coherent states are orthogonal. In fact, if and are a pair of coherent states, then \langle\beta\mid\alpha\rangle = e^ \neq \delta(\alpha-\beta). Note that these states are, however, correctly normalized with . Owing to the completeness of the basis of Fock states, the choice of the basis of coherent states must be overcomplete. Click to show an informal proof. In the coherent states basis, however, it is always possible to express the density operator in the diagonal form \widehat = \int f(\alpha,\alpha^*) , \alpha\rangle \langle \alpha, \, d^2\alpha where is a representation of the phase space distribution. This function is considered a quasiprobability density because it has the following properties: *\int f(\alpha,\alpha^*) \, d^2\alpha = \operatorname(\widehat) = 1 (normalization) *If g_\Omega (\widehat,\widehat^\dagger) is an operator that can be expressed as a
power series In mathematics, a power series (in one variable) is an infinite series of the form \sum_^\infty a_n \left(x - c\right)^n = a_0 + a_1 (x - c) + a_2 (x - c)^2 + \dots where ''a_n'' represents the coefficient of the ''n''th term and ''c'' is a co ...
of the creation and annihilation operators in an ordering Ω, then its expectation value is \langle g_ (\widehat,\widehat^\dagger) \rangle = \int f(\alpha,\alpha^*) g_\Omega(\alpha,\alpha^*) \, d\alpha \, d\alpha^* (
optical equivalence theorem The optical equivalence theorem in quantum optics asserts an equivalence between the expectation value of an operator in Hilbert space and the expectation value of its associated function in the phase space formulation with respect to a quasiproba ...
). There exists a family of different representations, each connected to a different ordering . The most popular in the general physics literature and historically first of these is the Wigner quasiprobability distribution, which is related to symmetric operator ordering. In quantum optics specifically, often the operators of interest, especially the particle number operator, is naturally expressed in normal order. In that case, the corresponding representation of the phase space distribution is the Glauber–Sudarshan P representation. The quasiprobabilistic nature of these phase space distributions is best understood in the representation because of the following key statement: This sweeping statement is inoperative in other representations. For example, the Wigner function of the EPR state is positive definite but has no classical analog. In addition to the representations defined above, there are many other quasiprobability distributions that arise in alternative representations of the phase space distribution. Another popular representation is the Husimi Q representation, which is useful when operators are in ''anti''-normal order. More recently, the positive representation and a wider class of generalized representations have been used to solve complex problems in quantum optics. These are all equivalent and interconvertible to each other, viz. Cohen's class distribution function.


Characteristic functions

Analogous to probability theory, quantum quasiprobability distributions can be written in terms of
characteristic function In mathematics, the term "characteristic function" can refer to any of several distinct concepts: * The indicator function of a subset, that is the function \mathbf_A\colon X \to \, which for a given subset ''A'' of ''X'', has value 1 at points ...
s, from which all operator expectation values can be derived. The characteristic functions for the Wigner, Glauber P and Q distributions of an ''N'' mode system are as follows: * \chi_W(\mathbf,\mathbf^*)= \operatorname\left rho \exp\left(i\mathbf\cdot\widehat + i\mathbf^*\cdot\widehat^\right)\right/math> * \chi_P(\mathbf,\mathbf^*) = \operatorname\left rho \exp\left(i\mathbf^*\cdot\widehat^\right) \exp\left(i\mathbf\cdot\widehat\right)\right/math> * \chi_Q(\mathbf,\mathbf^*)=\operatorname\left rho \exp\left(i\mathbf\cdot\widehat\right) \exp\left(i\mathbf^*\cdot\widehat^\right)\right/math> Here \widehat and \widehat^ are vectors containing the annihilation and creation operators for each mode of the system. These characteristic functions can be used to directly evaluate expectation values of operator moments. The ordering of the annihilation and creation operators in these moments is specific to the particular characteristic function. For instance, normally ordered (creation operators preceding annihilation operators) moments can be evaluated in the following way from \chi_P\,: \left\langle\widehat_j^\widehat_k^n\right\rangle = \left.\frac\chi_P(\mathbf,\mathbf^*)\_ In the same way, expectation values of anti-normally ordered and symmetrically ordered combinations of annihilation and creation operators can be evaluated from the characteristic functions for the Q and Wigner distributions, respectively. The quasiprobability functions themselves are defined as
Fourier transform In mathematics, the Fourier transform (FT) is an integral transform that takes a function as input then outputs another function that describes the extent to which various frequencies are present in the original function. The output of the tr ...
s of the above characteristic functions. That is, \(\mathbf,\mathbf^*)=\frac\int \chi_(\mathbf,\mathbf^*)e^e^ \, d^\mathbf. Here \alpha_j\, and \alpha^*_k may be identified as coherent state amplitudes in the case of the Glauber P and Q distributions, but simply c-numbers for the Wigner function. Since differentiation in normal space becomes multiplication in Fourier space, moments can be calculated from these functions in the following way: * \langle\widehat_j^\widehat_k^n\rangle=\int P(\mathbf,\mathbf^*)\alpha_j^n\alpha_k^ \, d^\mathbf * \langle\widehat_j^m\widehat_k^\rangle=\int Q(\mathbf,\mathbf^*)\alpha_j^m\alpha_k^ \, d^\mathbf * \langle(\widehat_j^\widehat_k^n)_S\rangle=\int W(\mathbf,\mathbf^*)\alpha_j^m\alpha_k^ \, d^\mathbf Here (\cdots)_S denotes symmetric ordering. These representations are all interrelated through
convolution In mathematics (in particular, functional analysis), convolution is a operation (mathematics), mathematical operation on two function (mathematics), functions f and g that produces a third function f*g, as the integral of the product of the two ...
by
Gaussian function In mathematics, a Gaussian function, often simply referred to as a Gaussian, is a function (mathematics), function of the base form f(x) = \exp (-x^2) and with parametric extension f(x) = a \exp\left( -\frac \right) for arbitrary real number, rea ...
s, Weierstrass transforms, *W(\alpha,\alpha^*)= \frac \int P(\beta,\beta^*) e^ \, d^2\beta *Q(\alpha,\alpha^*)= \frac \int W(\beta,\beta^*) e^ \, d^2\beta or, using the property that convolution is
associative In mathematics, the associative property is a property of some binary operations that rearranging the parentheses in an expression will not change the result. In propositional logic, associativity is a valid rule of replacement for express ...
,Q(\alpha,\alpha^*)= \frac \int P(\beta,\beta^*) e^ \, d^2\beta ~. It follows thatP(\alpha,\alpha^*)= \frac \int Q(\beta,\beta^*) e^ \, d^2\beta ~d^2\lambda, an often divergent integral, indicating ''P'' is often a distribution. ''Q'' is always broader than ''P'' for the same density matrix. For example, for a thermal state, \hat \rho= \frac\sum_^\infty \left (\frac\right)^n , n\rangle \langle n, ~, one has P(\alpha)= \frac e^, \qquad Q(\alpha)= \frac e^~.


Time evolution and operator correspondences

Since each of the above transformations from to the distribution functions is
linear In mathematics, the term ''linear'' is used in two distinct senses for two different properties: * linearity of a '' function'' (or '' mapping''); * linearity of a '' polynomial''. An example of a linear function is the function defined by f(x) ...
, the equation of motion for each distribution can be obtained by performing the same transformations to \dot. Furthermore, as any
master equation In physics, chemistry, and related fields, master equations are used to describe the time evolution of a system that can be modeled as being in a probabilistic combination of states at any given time, and the switching between states is determi ...
which can be expressed in Lindblad form is completely described by the action of combinations of annihilation and creation operators on the density operator, it is useful to consider the effect such operations have on each of the quasiprobability functions. For instance, consider the annihilation operator \widehat_j\, acting on . For the characteristic function of the P distribution we have \operatorname(\widehat_j\rho e^ e^) = \frac\chi_P(\mathbf,\mathbf^*). Taking the
Fourier transform In mathematics, the Fourier transform (FT) is an integral transform that takes a function as input then outputs another function that describes the extent to which various frequencies are present in the original function. The output of the tr ...
with respect to \mathbf\, to find the action corresponding action on the Glauber P function, we find \widehat_j\rho \rightarrow \alpha_j P(\mathbf,\mathbf^*). By following this procedure for each of the above distributions, the following ''operator correspondences'' can be identified: * \widehat_j\rho \rightarrow \left(\alpha_j + \kappa\frac\right)\(\mathbf,\mathbf^*) * \rho\widehat^\dagger_j \rightarrow \left(\alpha_j^* + \kappa\frac\right)\(\mathbf,\mathbf^*) * \widehat^\dagger_j\rho \rightarrow \left(\alpha_j^* - (1-\kappa)\frac\right)\(\mathbf,\mathbf^*) * \rho\widehat_j \rightarrow \left(\alpha_j - (1-\kappa)\frac\right)\(\mathbf,\mathbf^*) Here or 1 for P, Wigner, and Q distributions, respectively. In this way,
master equation In physics, chemistry, and related fields, master equations are used to describe the time evolution of a system that can be modeled as being in a probabilistic combination of states at any given time, and the switching between states is determi ...
s can be expressed as an equations of motion of quasiprobability functions.


Examples


Coherent state

By construction, ''P'' for a coherent state , \alpha_0\rangle is simply a delta function: P(\alpha,\alpha^*)=\delta^2(\alpha-\alpha_0). The Wigner and ''Q'' representations follows immediately from the Gaussian convolution formulas above, \begin W(\alpha,\alpha^*) &= \frac \int \delta^2(\beta-\alpha_0) e^ \, d^2\beta \\ ex&= \frace^ \\ .5exQ(\alpha,\alpha^*) &= \frac \int \delta^2(\beta-\alpha_0) e^ \, d^2\beta \\ ex&= \frace^. \end The Husimi representation can also be found using the formula above for the inner product of two coherent states, Q(\alpha,\alpha^*)=\frac\langle \alpha, \widehat, \alpha\rangle =\frac, \langle \alpha_0, \alpha\rangle, ^2 = \frace^


Fock state

The ''P'' representation of a Fock state , n\rangle is P(\alpha,\alpha^*)=\frac \frac \delta^2(\alpha). Since for ''n''>0 this is more singular than a delta function, a Fock state has no classical analog. The non-classicality is less transparent as one proceeds with the Gaussian convolutions. If ''Ln'' is the ''n''-th Laguerre polynomial, ''W'' is W(\alpha,\alpha^*) = ^n \frac e^ L_n ~, which can go negative but is bounded. ''Q'', by contrast, always remains positive and bounded, Q(\alpha,\alpha^*)=\frac\langle \alpha, \widehat, \alpha\rangle =\frac, \langle n, \alpha\rangle, ^2 =\frac, \langle 0, \widehat^n, \alpha\rangle, ^2 = \frac , \langle 0, \alpha\rangle, ^2 ~.


Damped quantum harmonic oscillator

Consider the damped quantum harmonic oscillator with the following master equation, \frac = i\omega_0 widehat,\widehat^\dagger\widehat+ \frac \left(2\widehat\widehat\widehat^\dagger - \widehat^\dagger\widehat \widehat - \rho\widehat^\dagger \widehat\right) + \gamma \langle n \rangle \left(\widehat \widehat \widehat^\dagger + \widehat^\dagger\widehat\widehat - \widehat^\dagger\widehat\widehat-\widehat \widehat \widehat^\dagger\right). This results in the
Fokker–Planck equation In statistical mechanics and information theory, the Fokker–Planck equation is a partial differential equation that describes the time evolution of the probability density function of the velocity of a particle under the influence of drag (physi ...
, \frac \(\alpha,\alpha^*,t) = \left left(\frac + i\omega_0\right) \frac\alpha + \left(\frac - i\omega_0\right)\frac\alpha^* + \gamma\left(\langle n \rangle + \kappa\right) \frac\right\(\alpha,\alpha^*,t), where ''κ'' = 0, 1/2, 1 for the ''P'', ''W'', and ''Q'' representations, respectively. If the system is initially in the coherent state , \alpha_0\rangle, then this equation has the solution \(\alpha,\alpha^*,t) = \frac \exp\left \frac{\kappa + \langle n \rangle \left(1-e^{-\gamma t}\right)}\right.


See also

* Krein space


References

Particle distributions Quantum optics Exotic probabilities