QuantumInfo.Finite.Entropy.Relative
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Weighted Jensen Inequality for Power Functions with
#weighted_jensen_rpowLet be a set of non-negative weights such that , and let be non-negative real numbers. For any real number , the following weighted Jensen inequality holds:
Doubly Stochastic Hölder Inequality
#doubly_stochastic_holderLet and be non-negative real numbers for . Let be a doubly stochastic matrix, such that for all , and its rows and columns sum to 1 ( for all , and for all ). For any conjugate exponents satisfying , the following inequality holds:
Hermitian Trace Hölder Inequality:
#inner_le_trace_rpow_mulLet and be complex Hermitian matrices of dimension that are positive semi-definite (). Let and be real conjugate exponents such that and . Then the real-valued Hilbert-Schmidt inner product of and , denoted , satisfies:
for Mixed State and
#rpow_le_one'Let be a quantum mixed state with associated matrix . For any real number , the -th power of the matrix satisfies , where denotes the identity matrix.
If , then its eigenvalues satisfy
#eigenvalues_le_one_of_le_oneLet be a Hermitian matrix in . If (where is the identity matrix), then for every index in the dimension type , the -th eigenvalue of satisfies . Combined with the condition , this implies that all eigenvalues of lie in the interval .
for and
#trace_rpow_le_trace_of_le_oneLet be a complex Hermitian matrix of dimension such that , where is the identity matrix. For any real number , the trace of the -th power of is less than or equal to the trace of , i.e., .
for PSD and
#rpow_neg_mul_rpow_eq_supportProjLet be a positive semi-definite (PSD) Hermitian matrix of dimension over the complex numbers . For any non-zero real number , the product of the matrix power and is equal to the orthogonal projection onto the support of , denoted as .
Left multiplication of a Hermitian matrix by its support projection
#supportProj_mul_selfFor any complex Hermitian matrix , the product of its support projection and the matrix itself is equal to , i.e., .
For any complex Hermitian matrix , the inner product of with its support projection is equal to the trace of . Here, denotes the Frobenius inner product (or Hilbert-Schmidt inner product), and denotes the sum of the diagonal elements of .
Let and be Hermitian matrices of dimension over the complex numbers . If the kernel of the linear map associated with is a subspace of the kernel of the linear map associated with (i.e., ), then the product of and the support projection of (denoted ) satisfies .
Let and be complex Hermitian matrices of dimension . If the kernel of is contained in the kernel of (i.e., ), then the Frobenius inner product of and the support projection of (denoted ) is equal to the trace of , such that .
Let and be density matrices. If the kernel of the linear map associated with is contained within the kernel of the linear map associated with (denoted ), then the real inner product of the support projection of and the density matrix is equal to 1, i.e., .
Non-negativity of Quantum Relative Entropy
#inner_log_sub_log_nonnegLet and be density operators (represented by their matrices and ). If the kernel of is contained in the kernel of (), then the quantity is non-negative, i.e., . Here denotes the Hilbert-Schmidt inner product .
Non-negativity of Sandwiched Rényi Relative Entropy
#sandwichedRelRentropy_nonnegLet and be density states with associated matrices and . Suppose the kernel of is contained in the kernel of (). For any such that , the sandwiched Rényi relative entropy is non-negative (), where is defined as: - If , the relative entropy is given by the inner product . - If , it is given by .
and implies
#ker_kron_le_of_leLet be square matrices of size over , and let be square matrices of size over . If the kernel of is contained in the kernel of () and the kernel of is contained in the kernel of (), then the kernel of the Kronecker product is contained in the kernel of the Kronecker product (). Here, refers to the kernel of the linear map associated with a matrix .
implies
#ker_le_of_ker_kron_le_leftLet be quantum mixed states of dimension , and be quantum mixed states of dimension . If the kernel of the Hermitian operator associated with the product state is contained in the kernel of the Hermitian operator associated with the product state (i.e., ), then the kernel of is contained in the kernel of ().
Let be quantum mixed states of dimension and be quantum mixed states of dimension . If the kernel of the Hermitian operator of the product state is contained in the kernel of the Hermitian operator of the product state (i.e., ), then the kernel of the Hermitian operator of is contained in the kernel of the Hermitian operator of (i.e., ).
Let be mixed states on a Hilbert space of dimension , and let be mixed states on a Hilbert space of dimension . The kernel of the density matrix of the product state is contained in the kernel of the density matrix of the product state (i.e., ) if and only if and .
Let and be complex Hermitian matrices of dimension , and let and be complex Hermitian matrices of dimension . Then the Frobenius inner product of the Kronecker products and is equal to the product of the individual inner products, namely:
Continuity of in the topology of uniform convergence on compact sets for
#continuousOn_rpow_uniformLet be a compact set. The function that maps a real exponent to the power function (viewed as an element of the space of functions on endowed with the topology of uniform convergence) is continuous on the interval .
Additivity of under tensor products of mixed states
#sandwichedRelRentropy_additive_alpha_one_auxLet be mixed states of dimension and be mixed states of dimension . Let denote their respective density matrices, and let denote the tensor product of mixed states. Suppose that the kernel of is a subspace of the kernel of () and the kernel of is a subspace of the kernel of (). Then the following additivity property for the Frobenius inner product of the logarithm of the states holds: where denotes the functional calculus for Hermitian matrices.
Sandwiched Rényi Relative Entropy
#SandwichedRelRentropyLet and be quantum states (represented by the type `MState d`) with associated density matrices and . Given a parameter , the Sandwiched Rényi Relative Entropy is defined as an extended non-negative real number as follows: 1. If , the value is . 2. If and the kernel condition is not satisfied, the value is . 3. If and , it returns the standard relative entropy (Kullback-Leibler divergence) calculated using the natural logarithm: 4. If and , it is given by: where denotes the trace and the power of the matrices is defined via functional calculus.
Sandwiched Rényi relative entropy
#termD̃__(_‖_)This notation defines the sandwiched Rényi relative entropy of order between two mixed states and , denoted as . It is defined for and maps a pair of mixed states to an extended non-negative real number .
Quantum Relative Entropy
#qRelativeEntThe quantum relative entropy, also known as the Umegaki relative entropy, is defined for two quantum states and (elements of the space of mixed states ) as: The value is represented as an extended non-negative real number (). In this library, it is implemented as a special case of the sandwiched Rényi relative entropy evaluated at the limit .
Notation for Quantum Relative Entropy
#term𝐃(_‖_)This represents the mathematical notation , which denotes the quantum relative entropy between two quantum states and . It is defined formally as the value of the function `qRelativeEnt ρ σ`, which calculates the Umegaki relative entropy .
Factorization of the trace of the sandwiched term over tensor products
#sandwiched_term_productLet be mixed states of dimension and be mixed states of dimension . For any real numbers and , the trace of the sandwiched term of the combined states satisfies the following factorization property: where denotes the conjugation operation , is the tensor product of mixed states, and is the density matrix associated with a mixed state.
Additivity of Sandwiched Rényi Relative Entropy for
#sandwichedRelRentropy_additive_alpha_ne_oneFor any real parameter and any quantum mixed states on a Hilbert space of dimension and on a Hilbert space of dimension , the sandwiched Rényi relative entropy is additive under the tensor product. That is, where denotes the tensor product of the mixed states.
Additivity of Sandwiched Rényi Relative Entropy for Product States
#sandwichedRelRentropy_additiveFor any Renyi parameter and mixed states on a system of dimension and on a system of dimension , the sandwiched Rényi relative entropy is additive under the tensor product of states: where denotes the tensor product of mixed states.
Additivity of Quantum Relative Entropy for Product States
#qRelativeEnt_additiveFor any quantum mixed states on a Hilbert space of dimension , and any quantum mixed states on a Hilbert space of dimension , the quantum relative entropy is additive under the tensor product of states. Specifically, where denotes the tensor product of the mixed states.
Invariance of Sandwiched Rényi Relative Entropy under basis relabeling
#sandwichedRelRentropy_relabelFor any quantum mixed states defined on a finite-dimensional Hilbert space with basis , and for any bijection between basis sets, the sandwiched Rényi relative entropy of order is invariant under relabeling, such that , where and are the states relabeled by .
For any quantum state and any real parameter , the sandwiched Rényi relative entropy of the state with itself, denoted as , is equal to 0.
for non-singular
#sandwichedRelEntropy_ne_topLet and be quantum mixed states on a finite-dimensional Hilbert space. If the density matrix of (denoted ) is non-singular (invertible), then for any real order , the sandwiched Rényi relative entropy is not equal to positive infinity ().
The function is continuous on
#continuousOn_exponentThe function defined by is continuous on the interval .
Continuity of on
#continuousOn_cpow_const_IoiFor any complex number , the function defined by is continuous on the interval . Here, denotes the complex power function, and is the set of positive real numbers.
maps to
#maps_to_Iio_of_Ioi_1The function defined by maps the interval into the interval .
The frontier of a singleton in a perfect space is
#frontier_singletonLet be a topological space that satisfies the separation axiom and is a perfect space (meaning it has no isolated points). For any point , the frontier (boundary) of the singleton set is equal to the set itself.
Continuity of for
#continuousOnLet and be mixed states of a -dimensional Hilbert space (). The sandwiched Rényi relative entropy , considered as a function of the order parameter , is continuous on the interval .
Quantum Relative Entropy Formula for
#qRelativeEnt_kerFor any two quantum states and in a -dimensional Hilbert space, if the kernel of the density operator is contained within the kernel of the density operator (denoted ), then the quantum relative entropy is given by the inner product . In the context of operators, this corresponds to the trace formula .
if else
#qRelativeEnt_eq_neg_Sᵥₙ_addFor any two quantum mixed states and of dimension , the quantum relative entropy relates to the von Neumann entropy as follows: where denotes the Hilbert-Schmidt inner product and indicates that the kernel of the density operator is contained within the kernel of .
Quantum Relative Entropy is Invariant Under Relabeling
#qRelativeEnt_relabelLet and be quantum mixed states on a system with basis . For any bijection (equivalence) , let and be the mixed states on the system with basis obtained by reindexing the density matrices. Then the quantum relative entropy is invariant under such relabeling, i.e., .
for unique states on a 1D system
#sandwichedRelRentropy_of_uniqueLet be a type with exactly one element (representing a 1-dimensional Hilbert space). For any two mixed states and in , the sandwiched Rényi relative entropy of order , denoted , is equal to 0.
Quantum Relative Entropy of States on a Unique Type is 0
#qRelEntropy_of_uniqueLet be a type with a unique element (i.e., a singleton type). For any two mixed states and defined over , the quantum relative entropy is equal to .
for heterogeneously equal states and types
#sandwichedRelRentropy_heq_congrLet and be finite types with decidable equality, representing the index sets of two quantum systems. Let be mixed states on the system indexed by , and be mixed states on the system indexed by . If the index sets are equal () and the states are heterogeneously equal (denoted by and ), then their sandwiched Rényi relative entropies of order are equal, i.e., .
Invariance of Sandwiched Rényi Relative Entropy under Basis Relabeling ()
#sandwichedRelRentropy_congrGiven two finite dimensional quantum systems with basis types and and states on and on , if there is an equality between the basis types such that the states are related by the corresponding relabeling ( and ), then the sandwiched Rényi relative entropies are equal: .
Quantum Relative Entropy is Invariant under Heterogeneous Equality of States
#qRelEntropy_heq_congrLet and be finite types. Let be mixed states (of type `MState`) acting on a Hilbert space indexed by , and be mixed states acting on a Hilbert space indexed by . If the underlying types are equal () and the states are heterogeneous equal (denoted by and ), then the quantum relative entropies are equal: .
Quantum Relative Entropy for Full Rank acts as
#qRelativeEnt_rankLet and be quantum states (represented as density matrices in ). If is non-singular (i.e., it has full rank), then the quantum relative entropy is given by the inner product where denotes the matrix logarithm and is the Hilbert-Schmidt inner product.
Upper Semicontinuity of under Kernel Constraint
#inner_log_bounded_nearLet and be mixed states in , where denotes the underlying density matrix. Suppose the kernel of is contained in the kernel of (). If the Hilbert-Schmidt inner product of and the matrix logarithm of is strictly less than some real value (i.e., ), then for all mixed states in a sufficiently small neighborhood of , if , then .
Lower Semicontinuity of Quantum Relative Entropy at States with Mismatched Kernels
#qRelativeEnt_lowerSemicontinuous_2Let and be mixed states in such that the kernel of the matrix is not contained in the kernel of the matrix (). For any value , if , then there exists a neighborhood of such that for all mixed states in that neighborhood, the value is strictly less than the quantity defined by: where the expression is treated as an element of the extended real numbers .
Lower Semicontinuity of Quantum Relative Entropy in its Second Argument
#lowerSemicontinuousFor any fixed mixed state of dimension , the quantum relative entropy is lower semicontinuous as a function of the mixed state . That is, for every , and for any , there exists a neighborhood of such that for all in that neighborhood, .
Joint Convexity of Quantum Relative Entropy
#qRelativeEnt_joint_convexityFor any quantum states in the state space and any probability , the quantum relative entropy satisfies joint convexity: where denotes the convex mixture (or "mix") of the states and with weights and respectively.
For any mixed state in a -dimensional Hilbert space, the quantum relative entropy of with respect to itself is zero, denoted as .
Quantum Relative Entropy with Non-Singular is Finite
#qRelativeEnt_ne_topLet and be mixed states of dimension . If is non-singular (i.e., its density matrix is invertible), then the quantum relative entropy is not equal to (it is finite in the extended non-negative real numbers ).
For a bipartite quantum mixed state on a composite system with dimensions , the quantum mutual information is equal to the quantum relative entropy between and the tensor product of its reduced density matrices, . That is, where and are the partial traces over the right and left subsystems, respectively.
Let , , and be quantum mixed states in a -dimensional Hilbert space. Let and denote the density operators of and , respectively. If is bounded by a scaling of such that for some scalar , then the quantum relative entropy satisfies the inequality .
Quantum Relative Entropy is bounded by the Logarithm of the Dominance Ratio
#qRelativeEnt_op_leLet and be mixed states of dimension , and let and denote their respective density matrices. If for some scalar , then the quantum relative entropy is bounded by , specifically .
