The Fidelity of Recovery is Multiplicative

Fawzi and Renner [Commun. Math. Phys. 340(2):575, 2015] recently established a lower bound on the conditional quantum mutual information (CQMI) of tripartite quantum states $ABC$ in terms of the fidelity of recovery (FoR), i.e. the maximal fidelity of the state $ABC$ with a state reconstructed from its marginal $BC$ by acting only on the $C$ system. The FoR measures quantum correlations by the local recoverability of global states and has many properties similar to the CQMI. Here we generalize the FoR and show that the resulting measure is multiplicative by utilizing semi-definite programming duality. This allows us to simplify an operational proof by Brandao et al. [Phys. Rev. Lett. 115(5):050501, 2015] of the above-mentioned lower bound that is based on quantum state redistribution. In particular, in contrast to the previous approaches, our proof does not rely on de Finetti reductions.Comment: v2: 9 pages, published versio

The fidelity of recovery is multiplicative

© 1963-2012 IEEE. Fawzi and Renner recently established a lower bound on the conditional quantum mutual information (CQMI) of tripartite quantum states $ABC$ in terms of the fidelity of recovery (FoR), i.e., the maximal fidelity of the state $ABC$ with a state reconstructed from its marginal $BC$ by acting only on the $C$ system. The FoR measures quantum correlations by the local recoverability of global states and has many properties similar to the CQMI. Here, we generalize the FoR and show that the resulting measure is multiplicative by utilizing semi-definite programming duality. This allows us to simplify an operational proof by Brandão et al. of the above-mentioned lower bound that is based on quantum state redistribution. In particular, in contrast to the previous approaches, our proof does not rely on de Finetti reductions

Quantum Compression and Quantum Learning via Information Theory

This thesis consists of two parts: quantum compression and quantum learning theory. A common theme between these problems is that we study them through the lens of information theory. We first study the task of visible compression of an ensemble of quantum states with entanglement assistance in the one-shot setting. The protocols achieving the best compression use many more qubits of shared entanglement than the number of qubits in the states in the ensemble. Other compression protocols, with potentially higher communication cost, have entanglement cost bounded by the number of qubits in the given states. This motivates the question as to whether entanglement is truly necessary for compression, and if so, how much of it is needed. We show that an ensemble given by Jain, Radhakrishnan, and Sen (ICALP'03) cannot be compressed by more than a constant number of qubits without shared entanglement, while in the presence of shared entanglement, the communication cost of compression can be arbitrarily smaller than the entanglement cost. Next, we study the task of quantum state redistribution, the most general version of compression of quantum states. We design a protocol for this task with communication cost in terms of a measure of distance from quantum Markov chains. More precisely, the distance is defined in terms of quantum max-relative entropy and quantum hypothesis testing entropy. Our result is the first to connect quantum state redistribution and Markov chains and gives an operational interpretation for a possible one-shot analogue of quantum conditional mutual information. The communication cost of our protocol is lower than all previously known ones and asymptotically achieves the well-known rate of quantum conditional mutual information. In the last part, we focus on quantum algorithms for learning Boolean functions using quantum examples. We consider two commonly studied models of learning, namely, quantum PAC learning and quantum agnostic learning. We reproduce the optimal lower bounds by Arunachalam and de Wolf (JMLR’18) for the sample complexity of either of these models using information theory and spectral analysis. Our proofs are simpler than the previous ones and the techniques can be possibly extended to similar scenarios

Interactive quantum information theory

La théorie de l'information quantique s'est développée à une vitesse fulgurante au cours des vingt dernières années, avec des analogues et extensions des théorèmes de codage de source et de codage sur canal bruité pour la communication unidirectionnelle. Pour la communication interactive, un analogue quantique de la complexité de la communication a été développé, pour lequel les protocoles quantiques peuvent performer exponentiellement mieux que les meilleurs protocoles classiques pour certaines tâches classiques. Cependant, l'information quantique est beaucoup plus sensible au bruit que l'information classique. Il est donc impératif d'utiliser les ressources quantiques à leur plein potentiel. Dans cette thèse, nous étudions les protocoles quantiques interactifs du point de vue de la théorie de l'information et étudions les analogues du codage de source et du codage sur canal bruité. Le cadre considéré est celui de la complexité de la communication: Alice et Bob veulent faire un calcul quantique biparti tout en minimisant la quantité de communication échangée, sans égard au coût des calculs locaux. Nos résultats sont séparés en trois chapitres distincts, qui sont organisés de sorte à ce que chacun puisse être lu indépendamment. Étant donné le rôle central qu'elle occupe dans le contexte de la compression interactive, un chapitre est dédié à l'étude de la tâche de la redistribution d'état quantique. Nous prouvons des bornes inférieures sur les coûts de communication nécessaires dans un contexte interactif. Nous prouvons également des bornes atteignables avec un seul message, dans un contexte d'usage unique. Dans un chapitre subséquent, nous définissons une nouvelle notion de complexité de l'information quantique. Celle-ci caractérise la quantité d'information, plutôt que de communication, qu'Alice et Bob doivent échanger pour calculer une tâche bipartie. Nous prouvons beaucoup de propriétés structurelles pour cette quantité, et nous lui donnons une interprétation opérationnelle en tant que complexité de la communication quantique amortie. Dans le cas particulier d'entrées classiques, nous donnons une autre caractérisation permettant de quantifier le coût encouru par un protocole quantique qui oublie de l'information classique. Deux applications sont présentées: le premier résultat général de somme directe pour la complexité de la communication quantique à plus d'une ronde, ainsi qu'une borne optimale, à un terme polylogarithmique près, pour la complexité de la communication quantique avec un nombre de rondes limité pour la fonction « ensembles disjoints ». Dans un chapitre final, nous initions l'étude de la capacité interactive quantique pour les canaux bruités. Étant donné que les techniques pour distribuer de l'intrication sont bien étudiées, nous nous concentrons sur un modèle avec intrication préalable parfaite et communication classique bruitée. Nous démontrons que dans le cadre plus ardu des erreurs adversarielles, nous pouvons tolérer un taux d'erreur maximal de une demie moins epsilon, avec epsilon plus grand que zéro arbitrairement petit, et ce avec un taux de communication positif. Il s'ensuit que les canaux avec bruit aléatoire ayant une capacité positive pour la transmission unidirectionnelle ont une capacité positive pour la communication interactive quantique. Nous concluons avec une discussion de nos résultats et des directions futures pour ce programme de recherche sur une théorie de l'information quantique interactive.Quantum information theory has developed tremendously over the past two decades, with analogues and extensions of the source coding and channel coding theorems for unidirectional communication. Meanwhile, for interactive communication, a quantum analogue of communication complexity has been developed, for which quantum protocols can provide exponential savings over the best possible classical protocols for some classical tasks. However, quantum information is much more sensitive to noise than classical information. It is therefore essential to make the best use possible of quantum resources. In this thesis, we take an information-theoretic point of view on interactive quantum protocols and study the interactive analogues of source compression and noisy channel coding. The setting we consider is that of quantum communication complexity: Alice and Bob want to perform some joint quantum computation while minimizing the required amount of communication. Local computation is deemed free. Our results are split into three distinct chapters, and these are organized in such a way that each can be read independently. Given its central role in the context of interactive compression, we devote a chapter to the task of quantum state redistribution. In particular, we prove lower bounds on its communication cost that are robust in the context of interactive communication. We also prove one-shot, one-message achievability bounds. In a subsequent chapter, we define a new, fully quantum notion of information cost for interactive protocols and a corresponding notion of information complexity for bipartite tasks. It characterizes how much quantum information, rather than quantum communication, Alice and Bob must exchange in order to implement a given bipartite task. We prove many structural properties for these quantities, and provide an operational interpretation for quantum information complexity as the amortized quantum communication complexity. In the special case of classical inputs, we provide an alternate characterization of information cost that provides an answer to the following question about quantum protocols: what is the cost of forgetting classical information? Two applications are presented: the first general multi-round direct-sum theorem for quantum protocols, and a tight lower bound, up to polylogarithmic terms, for the bounded-round quantum communication complexity of the disjointness function. In a final chapter, we initiate the study of the interactive quantum capacity of noisy channels. Since techniques to distribute entanglement are well-studied, we focus on a model with perfect pre-shared entanglement and noisy classical communication. We show that even in the harder setting of adversarial errors, we can tolerate a provably maximal error rate of one half minus epsilon, for an arbitrarily small epsilon greater than zero, at positive communication rates. It then follows that random noise channels with positive capacity for unidirectional transmission also have positive interactive quantum capacity. We conclude with a discussion of our results and further research directions in interactive quantum information theory