Riemannian-geometric generalizations of quantum fidelities and Bures-Wasserstein distance
arXiv:2410.04937 · doi:10.1063/5.0252803
Abstract
We introduce a family of fidelities, termed generalized fidelity, which are based on the Riemannian geometry of the Bures-Wasserstein manifold. We show that this family of fidelities generalizes standard quantum fidelities such as Uhlmann-, Holevo-, and Matsumoto-fidelity and demonstrate that it satisfies analogous celebrated properties. The generalized fidelity naturally arises from a generalized Bures distance, the natural distance obtained by linearizing the Bures-Wasserstein manifold. We prove various invariance and covariance properties of generalized fidelity as the point of linearization moves along geodesic-related paths. We also provide a Block-matrix characterization and prove an Uhlmann-like theorem, as well as provide further extensions to the multivariate setting and to quantum Rényi divergences, generalizing Petz-, Sandwich-, Reverse sandwich-, and Geometric-Rényi divergences of order .
arXiv comment56 (39 + 16) pages, 3 figures. Corrected minor errors from the previous version
References in corpus (32)
- Rényi Divergence and Kullback-Leibler Divergence
- Statistical Aspects of Wasserstein Distances
- On quantum Renyi entropies: a new generalization and some properties
- The operational meaning of min- and max-entropy
- Fast Computation of Wasserstein Barycenters
- alpha-z-relative Renyi entropies
- Quantum algorithm and quantum circuit for A-Optimal Projection: dimensionality reduction
- Matrix versions of the Hellinger distance
- Geometric distinguishability measures limit quantum channel estimation and discrimination
- From Wigner-Yanase-Dyson conjecture to Carlen-Frank-Lieb conjecture (New title)
- Variational Quantum Algorithms for Dimensionality Reduction and Classification
- Multilevel Clustering via Wasserstein Means
- Geodesic Convex Optimization: Differentiation on Manifolds, Geodesics, and Convexity
- Investigating Properties of a Family of Quantum Renyi Divergences
- Estimating distinguishability measures on quantum computers
- Gradient descent algorithms for Bures-Wasserstein barycenters
- Geometry of Matrix Decompositions Seen Through Optimal Transport and Information Geometry
- Wasserstein Barycenter Model Ensembling
- Quantum Hellinger distances revisited
- Bures-Wasserstein geometry for positive-definite Hermitian matrices and their trace-one subset
- Recoverability for Holevo's just-as-good fidelity
- Reverse test and quantum analogue of classical fidelity and generalized fidelity
- On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry
- Quantum algorithms for matrix geometric means
- Multivariate Fidelities
- Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent
- Quantum Fidelities, Their Duals, And Convex Analysis
- A fidelity measure for quantum states based on the matrix geometric mean
- Quantum mean states are nicer than you think: fast algorithms to compute states maximizing average fidelity
- Quantum -nearest neighbors algorithm
- Geometric conditions for saturating the data processing inequality
- Learning with symmetric positive definite matrices via generalized Bures-Wasserstein geometry