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
15 - Particle Decays
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
In this chapter we discuss experiments where the run architecture is significantly different from that of standard in-out experiments such as particle scattering. We apply the quantized detector network (QDN) formalism to particle decays, the ammonium molecular system, Kaon-type regeneration decay experiments, and quantum Zeno experiments. In all of these experiments, the problem is the modeling of time, which conventionally is taken to be continuous. In QDN, time is treated in terms of stages, which are discrete.We show how the QDN formalism deals with such experiments.
In standard quantum mechanics (QM), time is assumed to be continuous. That is a legacy from classical mechanics (CM), which does not concern itself in general with the processes of observation. CMassumes systems under observation (SUOs) “have” physical properties that are independent of how they are observed. In contrast, QM cannot be considered without a discussion of the processes of observation. On close inspection of any process of observation, as it is actually carried out in the laboratory and not how it is modeled theoretically, the continuity of time does not look quite so obvious.
The problem is that there are two mutually exclusive views about the nature of observation in physics. These were discussed in detail by Misra and Sudarshan (MS) in an influential paper on the quantum Zeno effect (Misra and Sudarshan, 1977). On the one hand, no known principle forbids the continuity of time, so the axioms of QM are stated implicitly in terms of continuous time. When the Schrödinger equation is postulated to be one of them (Peres, 1995), temporal continuity is assumed explicitly. On the other hand, it is an empirical fact that no experiment can actually monitor any SUO in a truly continuous way. All references to continuous time measurements are invariably based on statistical modeling of complex processes, with the continuity of time having much the same status as that of temperature. Such effective parameters are extremely useful in physics, but their status as model-dependent, emergent attributes of SUOs, and the apparatus used to observe them, should always be kept in mind.
The best that could be done toward simulating temporal continuity in physics would be to perform a sequence of experiments with a carefully prescribed decreasing measurement time scale, such as occurs in experiments investigating the phenomenon known as the quantum Zeno effect (Itano et al., 1990).
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- Quantized Detector NetworksThe Theory of Observation, pp. 198 - 216Publisher: Cambridge University PressPrint publication year: 2017