The act of describing how a physical process changes a system is the basis for understanding observed phenomena. For quantum-mechanical processes in particular, the affect of processes on quantum states profoundly advances our knowledge of the natural world, from understanding counter-intuitive concepts to the development of wholly quantum-mechanical technology. Here, we show that quantum-mechanical processes can be quantified using a generic classical-process model through which any classical strategies of mimicry can be ruled out. We demonstrate the success of this formalism using fundamental processes postulated in quantum mechanics, the dynamics of open quantum systems, quantum-information processing, the fusion of entangled photon pairs, and the energy transfer in a photosynthetic pigment-protein complex. Since our framework does not depend on any specifics of the states being processed, it reveals a new class of correlations in the hierarchy between entanglement and Einstein-Podolsky-Rosen steering and paves the way for the elaboration of a generic method for quantifying physical processes.
The act of describing how a physical process changes a system is the basis for understanding observed phenomena. For quantum-mechanical processes in particular, the affect of processes on quantum states profoundly advances our knowledge of the natural world, from understanding counter-intuitive concepts to the development of wholly quantum-mechanical technology. Here, we show that quantum-mechanical processes can be quantified using a generic classical-process model through which any classical strategies of mimicry can be ruled out. We demonstrate the success of this formalism using fundamental processes postulated in quantum mechanics, the dynamics of open quantum systems, quantum-information processing, the fusion of entangled photon pairs, and the energy transfer in a photosynthetic pigment-protein complex. Since our framework does not depend on any specifics of the states being processed, it reveals a new class of correlations in the hierarchy between entanglement and Einstein-Podolsky-Rosen steering and paves the way for the elaboration of a generic method for quantifying physical processes.
Quantum mechanics has achieved unparalleled success as an operational theory, describing a wide range of experiments to remarkable accuracy. However, the physical foundations on which it rests remain as puzzling as they were a century ago, and a concise statement of the physical principles that underlie quantum mechanics is still outstanding. One promising approach holds that these principles should be formulated in terms of information, since many of the counter-intuitive effects in quantum theory concern questions such as what one can know about a quantum system and how the information encoded therein can be processed and distributed between parties. Another challenging feature of quantum theory is its incompatibility with the other cornerstone of modern physics, general relativity. In order to reconcile the two, one must identify and retain only the essential concepts and principles of each theory, and in the case of general relativity, causality has been identified as such a concept. This raises the question of how our classical understanding of causality must change when quantum theory is taken into account. In order to address these questions about information, knowledge and causality, I turn to the framework of causal models. In classical statistics, causal models explain the relations among a set of variables in terms of causal influences, which makes them a powerful tool for structuring our knowledge about complex systems and developing strategies for interacting with them. More importantly, the framework provides the conceptual underpinnings and mathematical methods for addressing questions about causation, information and knowledge in a rigorous manner. In this thesis, I develop a version of the classical causal models framework that is compatible with quantum theory and explore its physical implications. \n \n \nA first step is to define quantum versions of fundamental elements such as variables, conditionals and belief propagation rules. This allows one to consider the question of what one can come to know about a quantum variable from the point of view of causal modelling. The conditionals relating quantum variables are found to have a richer structure than their classical counterparts, which can be exploited for the task of discerning causal relations given limited data -- a central problem in classical causal modelling. The mathematical properties of quantum conditionals also establish a correspondence between various classes of two-party correlations, such as bound and distillable entanglement, and the types of causal structures that can give rise to them, which may become a useful tool for entanglement theory and quantum information processing. In the context of open quantum systems dynamics, quantum causal models provide a clear physical explanation of not completely positive maps and, more broadly, of non-Markovian quantum dynamics. Finally, I consider the possibility of non-classical effects in the way that different causal mechanisms are combined -- that is, non-classical causal structures. For the simple case of two causally ordered variables, I propose indicators that witness different classes of combinations of causal mechanisms, including a non-classical mixture, and describe an experiment realizing examples of the different classes. \n \n \nAs these results illustrate, the framework of quantum causal models provides both greater conceptual clarity and a comprehensive mathematical formalism for studying a diverse set of problems, ranging from foundational questions to applications in open systems dynamics and the exploration of non-classical causal structures, which are likely to feature in a future theory of quantum gravity. The material presented in this thesis is intended as a foundation and inspiration for further applications of quantum causal models.
Physical processes in the quantum regime possess non-classical properties of quantum mechanics. However, methods for quantitatively identifying such processes are still lacking. Accordingly, in this study, we develop a framework for characterizing and quantifying the ability of processes to cause quantum-mechanical effects on physical systems. We start by introducing a new concept, referred to as quantum process capability, to evaluate the effects of an experimental process upon a prescribed quantum specification. Various methods are then introduced for measuring such a capability. It is shown that the methods are adapted to quantum process tomography for implementation of process capability measure and applicable to all physical processes that can be described using the general theory of quantum operations. The utility of the proposed framework is demonstrated through several examples, including processes of entanglement, coherence, and superposition. The formalism proposed in this study provides a generic approach for the identification of dynamical processes in quantum mechanics and facilitates the general classification of quantum-information processing.
Quantum-classical systems exhibit a profound and often complex interplay, demanding sophisticated methodologies for analysis. This paper proposes a novel approach to quantifying the correlation between these systems – specifically, focusing on the interplay between entanglement and information flow – through a hybrid modeling framework. We present a new measure of correlation, leveraging the distinct characteristics of both quantum and classical realms, designed to capture the nuanced dynamics of this interaction. The core mechanism involves modeling the complex system using a hybrid approach, integrating quantum and classical dynamics, and subsequently developing a novel measure of correlation. This work addresses the limitations of existing methods by offering a more comprehensive and insightful understanding of this critical interplay. The exploration of this correlation will contribute to advancements in quantum information processing and fundamental physics.
Quantum biology, as introduced in the previous chapter, mainly studies the dynamical influence of quantum effects in biological systems. In processes such as exciton transport in photosynthetic complexes, radical pair spin dynamics in magnetoreception, and photo-induced retinal isomerization in the rhodopsin protein, a quantum description is a necessity rather than an option. The quantum modelling of biological processes is not limited to solving the Schrödinger equation for an isolated molecular structure. Natural systems are open to the exchange of particles, energy or information with their surrounding environments that often have complex structures. Therefore the theory of open quantum systems plays a key role in dynamical modelling of quantum-biological systems. Research in quantum biology and open quantum system theory have found a bilateral relationship. Quantum biology employs open quantum system methods to a great extent while serving as a new paradigm for development of advanced formalisms for non-equilibrium biological processes. In this chapter, we overview the basic concepts of quantum mechanics and approaches to open quantum system (or decoherence ) dynamics. Here, we do not intend to discuss all aspects of about a century-old theory of open quantum systems that dates back to the original work of Paul Dirac on atomic radiative emission and absorption (Dirac, 1927). Instead, we mainly focus on the integro-differential equations that are commonly used for modelling quantum-biological systems. Interested readers can learn more about open quantum systems in various books and review articles in both physics and chemistry literature, including the references (Kraus, 1983; Breuer and Petruccione, 2002; Kubo et al. , 2003; Weiss, 2008; May and Kühn, 2011).
Quantum information science explores the foundational aspects of quantum mechanics and its ombination with information science for new information technologies. The underlying key resource is non-classical correlations. These counter-intuitive correlations between quantum systems can be used for encoding, transmitting and measuring information in quantum information tasks. Although quantum properties can be used in a variety of systems, here we explore photons. These information carriers are fast, easy to generate and manipulate and only interact weakly with the environment. These properties make them to excellent candidates to be employed in experiments. Developing quantum technology, such as single photon sources and single photon detectors, allows us to investigate the foundational aspects of quantum mechanics in quantum information tasks. These tasks use non-classical correlations, which form a hierarchy, from Bell nonlocality to Einstein-Podolsky-Rosen (EPR) steering to quantum nonseparability. Two systems are nonlocally correlated, when measuring one system affects the measurement results on the other system, hence the name `steering. In test for non-classical correlations, we share a quantum state between two observers which are trusted or untrusted. While observers are both untrusted or trusted in entanglement witness tests and Bell inequality violations, respectively, EPR-steering is distinct from these two classes by its fundamental asymmetry: one party is trusted while the other is untrusted.
Quantum Mechanics (QM) represents the currently best mathematical theory and computational tool available to quantitatively model the outcomes of measurements in the microscopic world. However, the various interpretations of the theory, including the currently dominant Copenhagen Interpretation, remain actively debated and contested in mainstream scientific journals. This puts us in the curious position of having a theory which evidently maps a significant portion of physical reality, but we still do not fully understand the relationship between its mathematical constituents and physical reality. This thesis develops a more intuitive understanding of QM based on the physical interaction processes occurring within our detectors. Using a semi- classical point of view, I first present a process-based derivation of the black-body spectrum, the mathematically accurate description of which, as first accomplished by Planck, led to the development of modern QM. I further demonstrate that ignoring interpretations like the Copenhagen Interpretation and focusing on measurable light-matter interaction processes provides an alternative productive way forward. I focus specifically on superposition effects created by multiple electro- magnetic waves simultaneously stimulating appropriate detectors, by mapping the interaction processes that result in the reported data. As a result I present a simple model of the detector signal that incorporates some of the important physical processes which do date have suffered from a lack of attention. One key observation of this discussion corresponds to the fact that in the linear domain wave amplitudes by themselves do not interact to generate observable data - the response to the joint amplitude stimulation of a detector and the ensuing energy absorption on the other hand do represent observables. Much of the confusion as well as many of QM’s paradoxes and contentious issues inherent in various interpretations of the theory resolve automatically when we remain focused on the interaction processes that give rise to the measurable superposition effect, rather than the unobservable superposition principle that the standard interpretations struggle to give meaning to. Demanding, as I do in this thesis, a close correspondence between our mathematical symbols and physical quantities, as well as between mathematical operations and physical processes demonstrates that QM maps more of physical reality than what the Copenhagen Interpretation allows us to extract from the QM formalism.