2018
DOI: 10.1002/andp.201800097
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Information and the Reconstruction of Quantum Physics

Abstract: The reconstruction of quantum physics has been connected with the interpretation of the quantum formalism, and has continued to be so with the recent deeper consideration of the relation of information to quantum states and processes. This recent form of reconstruction has mainly involved conceiving quantum theory on the basis of informational principles, providing new perspectives on physical correlations and entanglement that can be used to encode information. By contrast to the traditional, interpretational… Show more

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Cited by 12 publications
(13 citation statements)
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“…As a result, there are many programs designed to interpret quantum mechanics (QM), i.e., reveal what QM is telling us about Nature. We will not review such attempts here (the interested reader is referred to Drummond’s 2019 overview of QM interpretations [ 3 ]), rather in this paper we will explain how axiomatic reconstructions of QM based on information-theoretic principles (e.g., see [ 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 ] or the review by Jaeger [ 24 ]) contain a surprising advance in the understanding of QM. Specifically, we will show how the principle of Information Invariance and Continuity [ 8 ]: The total information of one bit is invariant under a continuous change between different complete sets of mutually complementary measurements.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…As a result, there are many programs designed to interpret quantum mechanics (QM), i.e., reveal what QM is telling us about Nature. We will not review such attempts here (the interested reader is referred to Drummond’s 2019 overview of QM interpretations [ 3 ]), rather in this paper we will explain how axiomatic reconstructions of QM based on information-theoretic principles (e.g., see [ 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 ] or the review by Jaeger [ 24 ]) contain a surprising advance in the understanding of QM. Specifically, we will show how the principle of Information Invariance and Continuity [ 8 ]: The total information of one bit is invariant under a continuous change between different complete sets of mutually complementary measurements.…”
Section: Introductionmentioning
confidence: 99%
“…Nonetheless, they all reveal directly or indirectly that the key difference between classical and quantum probability theories resides in the continuity of reversible transformations between pure states ( Section 2 ). In what is considered the first axiomatic reconstruction of QM [ 24 ], Hardy notes that by adding the single word “continuous” to his reversibility axiom, one obtains quantum probability theory instead of classical probability theory [ 4 ]. Indeed, many authors emphasize this point [ 12 , 19 , 22 , 42 ], e.g., Koberinski and Müller write [ 23 ]: We suggest that (continuous) reversibility may be the postulate which comes closest to being a candidate for a glimpse on the genuinely physical kernel of “quantum reality”.…”
Section: Introductionmentioning
confidence: 99%
“…An example of the continuing penetration of information concepts into physics is given in the demonstration that the third law of thermodynamics, generally expressed as the impossibility of reaching absolute zero, is related to the maximum speed with which information can be erased [21]. There has also been continuing interest in reconstructing the formalism of quantum theory in information terms [22,23].…”
Section: Information In Science and Technologymentioning
confidence: 99%
“…Could we get it from bit ? A number of researcher investigate this possibility, and several of their attempts to recover physical laws from the principles governing information are reported about in this special issue on physics of information . The articles by Gregg Jaeger, by Ariel Caticha, and by John Skilling and Kevin Knuth address the reconstruction of quantum mechanics from information theory. Furthermore, Kevin Knuth and James Walsh show how to recover space‐time from particles sending each others signals in an initially geometry‐free setting.…”
Section: Informationmentioning
confidence: 99%