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Cited by 557

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

A straightforward introduction to continuous quantum measurement

Open access
Jacobs, Kurt, Steck, Daniel A.·2006·Contemporary Physics

Abstract

We present a pedagogical treatment of the formalism of continuous quantum measurement. Our aim is to show the reader how the equations describing such measurements are derived and manipulated in a direct manner. We also give elementary background material for those new to measurement theory, and describe further various aspects of continuous measurements that should be helpful to those wanting to use such measurements in applications. Specifically, we use the simple and direct approach of generalized measurements to derive the stochastic master equation describing the continuous measurements of observables, give a tutorial on stochastic calculus, treat multiple observers and inefficient detection, examine a general form of the measurement master equation, and show how the master equation leads to information gain and disturbance. To conclude, we give a detailed treatment of imaging the resonance fluorescence from a single atom as a concrete example of how a continuous position measurement arises in a physical system.

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Metadata

Authors
Jacobs, K., & Steck, D. A.
Venue
Contemporary Physics
Published
2006-09
Volume
47
Issue
5
Pages
279-303
ISSN
  • 0010-7514 (ISSN-L)
  • 1366-5812
OpenAlex
W1964843870
Cited by
557
References
3
FWCI
6.23
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A straightforward introduction to continuous quantum measurement. https://app.cochat.ai/papers/10.1080/00107510601101934
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Jacobs, K., & Steck, D. A. (2006). A straightforward introduction to continuous quantum measurement. Contemporary Physics. https://doi.org/10.1080/00107510601101934

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.