A New Logical Measure for Quantum Information
David Ellerman
pp. 82-96 · 10.2478/qic-2025-0005
On this page
Abstract
Starting at the logical level of the logic of partitions, dual to the usual Boolean logic of subsets, the notion of logical entropy, i.e., information as distinctions, is developed as the quantification of the distinctions of partitions—just as probability theory starts with the quantification of elements of subsets. Logical entropy is compared and contrasted with the usual notion of Shannon entropy. Then a semi-algorithmic procedure (from the mathematical folklore) is used to translate the notion of logical entropy at the set level to the corresponding notion of quantum logical entropy at the (Hilbert) vector space level. Examples and some important propositions relate quantum logical entropy to projective measurement and to the Hilbert-Schmidt distance. Overall, the approach demonstrates the logical basis and naturality of this notion of entropy for quantum mechanics.
Open accessCC BY-NC-ND 4.0
Keywords
- partition logic
- duality of subsets and partitions
- logical entropy
- Shannon entropy
- linearization of set concepts to vector space concepts
- quantum logical entropy
Suggested citation
David Ellerman (2025). A New Logical Measure for Quantum Information. Quantum Information & Computation, 25(1), 82-96. https://doi.org/10.2478/qic-2025-0005
References (30)
- D. Ellerman (2009). “Counting distinctions: On the conceptual foundations of shannon’s information theory.” Synthese, 168: 1 May,119–149.DOI: 10.1007/s11229-008-9333-7Google Scholar
- B. Tamir and E. Cohen (2014). “Logical entropy for quantum states.” ArXiv.org.
http://de.arxiv.org/abs/1412.0616v2
.Google Scholar - G. Manfredi and M. R. Feix (2000). “Entropy and wigner functions.” Physical Review E, 62,4665–4674. https://doi.org/10.1103/PhysRevE.62.4665.DOI: 10.1103/PhysRevE.62.4665Google Scholar
- D. Ellerman (2021). New Foundations for Information Theory: Logical Entropy and Shannon Entropy. Cham, Switzerland: SpringerNature. https://doi.org/10.1007/978-3-030-86552-8.DOI: 10.1007/978-3-030-86552-8Google Scholar
- D. Ellerman (2010). “The logic of partitions: Introduction to the dual of the logic of subsets.” Review of Symbolic Logic, 3: 2 June, 287–350.DOI: 10.1017/S1755020310000018Google Scholar
- D. Ellerman (2014). “An introduction of partition logic.” Logic Journal of the IGPL, 22: 1, 94–125.DOI: 10.1093/jigpal/jzt036Google Scholar
- D. Ellerman (2023). The Logic of Partitions: With Two Major Applications. Studies in Logic 101. London: College Publications. https://www.collegepublications.co.uk/logic/?00052.Google Scholar
- G. Boole (1854). An Investigation of the Laws of Thought on which are founded the Mathematical Theories of Logic and Probabilities. Cambridge: Macmillan and Co.DOI: 10.5962/bhl.title.29413Google Scholar
- F. William Lawvere and R. Rosebrugh (2003). Sets for Mathematics. Cambridge: Cambridge University Press.DOI: 10.1017/CBO9780511755460Google Scholar
- T. Britz, M. Mainetti and L. Pezzoli (2001). “Some operations on the family of equivalence relations”, in H. Crapo and D. Senato (eds), Algebraic Combinatorics and Computer Science: A Tribute to Gian-Carlo Rota. Milano: Springer, 445–459.DOI: 10.1007/978-88-470-2107-5_18Google Scholar
- J. P. S. Kung, G.-C. Rota, and C. H. Yan. (2009). Combinatorics: The Rota Way. New York: Cambridge University Press.DOI: 10.1017/CBO9780511803895Google Scholar
- G.-C. Rota (2001). “Twelve problems in probability no one likes to bring up”, in H. Crapo and D. Senato (eds), Algebraic Combinatorics and Computer Science. Milano: Springer, 57–93.DOI: 10.1007/978-88-470-2107-5_5Google Scholar
- A. N. Kolmogorov (1983). “Combinatorial foundations of information theory and the calculus of probabilities.” Russian Mathematical Surveys, 38: 4, 29–40.DOI: 10.1070/RM1983v038n04ABEH004203Google Scholar
- C. E. Shannon (1948). “A mathematical theory of communication.” Bell System Technical Journal, 27: 379–423; 623–656.DOI: 10.1002/j.1538-7305.1948.tb00917.xGoogle Scholar
- C. E. Shannon and W. Weaver. (1964). The Mathematical Theory of Communication. Urbana: University of Illinois Press.Google Scholar
- L. L. Campbell (1965). “Entropy as a measure.” IEEE Transactions on Information Theory, IT-11: January, 112–114.DOI: 10.1109/TIT.1965.1053712Google Scholar
- U. Fano (1957). “Description of states in quantum mechanics by density matrix and operator techniques.” Reviews of Modern Physics, 29: 1, 74–93.DOI: 10.1103/RevModPhys.29.74Google Scholar
- G. Auletta, M. Fortunato, and G. Parisi (2009). Quantum Mechanics. Cambridge: Cambridge University Press.DOI: 10.1017/CBO9780511813955Google Scholar
- G. Rossi (2011). “Partition distances.” arXiv:1106.4579v1.Google Scholar
- B. Tamir and E. Cohen (2015). “A Holevo-type bound for a Hilbert Schmidt distance measure.” Journal of Quantum Information Science, 5, 127–133.DOI: 10.4236/jqis.2015.54015Google Scholar
- V. Vedral and M. B. Plenio (1998). “Entanglement measures and purification procedures.” Physical Review A, 57: 3, 1619–1633.DOI: 10.1103/PhysRevA.57.1619Google Scholar
- G.-C. Rota (1997). Indiscrete Thoughts. Boston: Birkhäuser.DOI: 10.1007/978-0-8176-4781-0Google Scholar
- S. Roman (2008). Advanced Linear Algebra 3rd. Ed. New York: Springer Science+Business Media.DOI: 10.1007/978-0-387-72831-5Google Scholar
- M. Nielsen and I. Chuang (2000). Quantum Computation and Quantum Information. Cambridge: Cambridge University Press.Google Scholar
- G. Jaeger (2007). Quantum Information: An Overview. New York: Springer Science+Business Media.Google Scholar
- G. Manfredi (ed.) (2022). “Logical entropy – special issue.” 4Open, no. 5, E1. https://doi.org/10.1051/fopen/2022005
.DOI: 10.1051/fopen/2022005Google Scholar - F. Buscemi, P. Bordone, and A. Bertoni (2007). “Linear entropy as an entanglement measure in two-fermion systems.” ArXiv.org, March 2. http://arxiv.org/abs/quant-ph/0611223v2.DOI: 10.1103/PhysRevA.75.032301Google Scholar
- B. Tamir, I. L. Piava, Z. Schwartzman-Nowik, and E. Cohen (2022). “Quantum logical entropy: Fundamentals and general properties.” 4Open Special Issue: Logical Entropy, 5: 2, 1–14. https://doi.org/10.1051/fopen/2021005.DOI: 10.1051/fopen/2021005Google Scholar
- C. E. Shannon (1993). “Some topics in information theory”, in N. J. A. Sloane and A. D. Wyner (eds), Claude E. Shannon: Collected Papers. Piscataway NJ: IEEE Press, 458–459.Google Scholar
- C. H. Bennett (2003). “Quantum information: Qubits and quantum error correction.” International Journal of Theoretical Physics, 42: 2 February, 153–176.DOI: 10.1023/A:1024439131297Google Scholar
