Book contents
- Frontmatter
- Contents
- Preface
- Acronyms
- 1 Introduction
- 2 Questions and Answers
- 3 Classical Bits
- 4 Quantum Bits
- 5 Classical and Quantum Registers
- 6 Classical Register Mechanics
- 7 Quantum Register Dynamics
- 8 Partial Observations
- 9 Mixed States and POVMs
- 10 Double-Slit Experiments
- 11 Modules
- 12 Computerization and Computer Algebra
- 13 Interferometers
- 14 Quantum Eraser Experiments
- 15 Particle Decays
- 16 Nonlocality
- 17 Bell Inequalities
- 18 Change and Persistence
- 19 Temporal Correlations
- 20 The Franson Experiment
- 21 Self-intervening Networks
- 22 Separability and Entanglement
- 23 Causal Sets
- 24 Oscillators
- 25 Dynamical Theory of Observation
- 26 Conclusions
- Appendix
- References
- Index
9 - Mixed States and POVMs
Published online by Cambridge University Press: 24 November 2017
- Frontmatter
- Contents
- Preface
- Acronyms
- 1 Introduction
- 2 Questions and Answers
- 3 Classical Bits
- 4 Quantum Bits
- 5 Classical and Quantum Registers
- 6 Classical Register Mechanics
- 7 Quantum Register Dynamics
- 8 Partial Observations
- 9 Mixed States and POVMs
- 10 Double-Slit Experiments
- 11 Modules
- 12 Computerization and Computer Algebra
- 13 Interferometers
- 14 Quantum Eraser Experiments
- 15 Particle Decays
- 16 Nonlocality
- 17 Bell Inequalities
- 18 Change and Persistence
- 19 Temporal Correlations
- 20 The Franson Experiment
- 21 Self-intervening Networks
- 22 Separability and Entanglement
- 23 Causal Sets
- 24 Oscillators
- 25 Dynamical Theory of Observation
- 26 Conclusions
- Appendix
- References
- Index
Summary
Introduction
As the decades of the twentieth century rolled on, quantum mechanics (QM) became more and more sophisticated and mathematical. Understanding what this theory means intuitively was confounded not only by nonclassical concepts such as wave–particle duality and quantum interference, but also by issues to do with observation. The Newtonian classical mechanics (CM) paradigm of reality, wherein reductionist laws of physics describe observer-independent dynamics of systems under observation (SUOs) with observer-independent properties, was found to be inadequate. Quantum theorists were confronted with the measurement problem, which attempts to understand, explain, and rationalize the laws of QM that underpin the processes of observation that go on in the laboratory. They are not the same as those of CM in several puzzling respects.
Historically, the first sign of the measurement problem was Planck's quantization of energy (Planck, 1900b) and the second was Bohr's veto on radiation damping in hydrogen (Bohr, 1913). These occurred in the first quarter of the twentieth century, a period in physics often referred to as Old Quantum Mechanics. Another indicator that intuition was inadequate was Born's interpretation of the squared modulus of the Schrödinger wave function as a probability density (Born, 1926). That interpretation has everything to do with observers and observation, because probability without an observer is a vacuous concept.
Eventually, the projection-valued measure (PVM) formalism emerged, championed by von Neumann in an influential book on the mathematical formulation of QM (von Neumann, 1955). Subsequently, pioneers such as Ludwig (Ludwig, 1983a,b) and Kraus (Kraus, 1974, 1983) refined the theory into the general positive operator-valued measure (POVM) formalism that we shall discuss and use.
The quantized detector network (QDN) approach to quantum experiments is most naturally expressed in the PVM formalism, as QDN focuses on the individual detectors in the laboratory. However, the POVM formalism is more general than the PVM formalism, giving a description of multiple detector processes similar to QDN. This raises the question of how the two approaches, QDN and POVM, are related. The aim of this chapter is to explore this relationship.
Before we review the PVM and POVM formalisms, we review some essential mathematical concepts.
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- Quantized Detector NetworksThe Theory of Observation, pp. 114 - 130Publisher: Cambridge University PressPrint publication year: 2017