×

A non-commutative Bayes’ theorem. (English) Zbl 1500.46052

Over the last 20 years, there has been a lot of interest in generalizing Bayesian inference from classical probability to quantum probability, see for example [H. Barnum and E. Knill, J. Math. Phys. 43, No. 5, 2097–2106 (2002; Zbl 1059.81027); M. S. Leifer, AIP Conf. Proc. 889, 172–186 (2007; Zbl 1138.81334); B. Coecke and R. W. Spekkens, Synthese 186, No. 3, 651–696 (2012; Zbl 1275.60006); B. Jacobs, Electron. Proc. Theor. Comput. Sci. (EPTCS) 287, 225–238 (2019; Zbl 1486.60004)]. Among the main challenges are to find a well-behaved generalization of Bayesian updating to the quantum setting and to develop methods for computing it.
Together with other recent preprints by the same authors, the present paper contributes to this line of investigation. It studies a particularly natural, but restrictive notion of Bayesian inversion in the Heisenberg picture: given finite-dimensional C*-algebras \(\mathcal{A}\) and \(\mathcal{B}\) with states \(\omega : \mathcal{A} \to \mathbb{C}\) and \(\xi : \mathcal{B} \to \mathbb{C}\), the authors define a quantum channel \(G : \mathcal{A} \to \mathcal{B}\) to be a Bayesian inverse of a quantum channel \(F : \mathcal{B} \to \mathcal{A}\) if \[ \xi(G(A) B) = \omega(A F(B)) \qquad \forall A \in \mathcal{A}, \: B \in \mathcal{B}. \] The main result of the paper is a necessary and sufficient condition for when the Bayesian inverse \(G\) exists (Theorems 5.62 and 6.22). The obvious necessary condition \(\xi = \omega \circ F\) is assumed throughout, but is found not to be sufficient. Much of the subtlety with the problem of existence of \(G\) is due to the difficulties that arise in the case where \(\xi\) does not have full support, and the authors emphasize that their careful treatment of this aspect improves upon other works significantly.
Prior to solving the existence question, Section 3 discusses some basics of the above notion of Bayesian inversion, and in particular explains the sense in which the Bayesian inverse \(G\) is unique up to almost sure equality. Section 4 provides a good selection of special cases of the above problem, and provides a number of more concrete criteria for the existence of a Bayesian inverse. These criteria take the form of commutativity conditions, which suggests that Bayesian inverses in the above sense may be relatively rare.

MSC:

46L53 Noncommutative probability and statistics
81P16 Quantum state spaces, operational and probabilistic concepts
81P45 Quantum information, communication, networks (quantum-theoretic aspects)
62F15 Bayesian inference
18M40 Dagger categories, categorical quantum mechanics

References:

[1] Accardi, Luigi, Non commutative Markov chains, (Proceedings International School of Mathematical Physics. Proceedings International School of Mathematical Physics, Università di Camerino (1974)) (2020)
[2] Accardi, Luigi; Cecchini, Carlo, Conditional expectations in von Neumann algebras and a theorem of Takesaki, J. Funct. Anal., 45, 2, 245-273 (1982) · Zbl 0483.46043
[3] Baez, John C.; Fritz, Tobias, A Bayesian characterization of relative entropy, Theory Appl. Categ., 29, 16, 422-457 (2014) · Zbl 1321.94023
[4] Baez, John C.; Fritz, Tobias; Leinster, Tom, A characterization of entropy in terms of information loss, Entropy, 13, 11, 1945-1957 (2011) · Zbl 1301.94043
[5] Barnum, Howard; Knill, Emanuel, Reversing quantum dynamics with near-optimal quantum and classical fidelity, J. Math. Phys., 43, 5, 2097-2106 (2002) · Zbl 1059.81027
[6] Bishop, Christopher M., Neural Networks for Pattern Recognition (1995), Oxford University Press · Zbl 0868.68096
[7] Chiribella, Giulio; Mauro D’Ariano, Giacomo; Perinotti, Paolo, Probabilistic theories with purification, Phys. Rev. A, 81, Article 062348 pp. (2010)
[8] Cho, Kenta; Jacobs, Bart, Disintegration and Bayesian inversion via string diagrams, Math. Struct. Comput. Sci., 1-34 (2019) · Zbl 1452.18008
[9] Choi, Man-Duen, Completely positive linear maps on complex matrices, Linear Algebra Appl., 10, 285-290 (1975) · Zbl 0327.15018
[10] Clerc, Florence; Danos, Vincent; Dahlqvist, Fredrik; Garnier, Ilias, Pointless learning, (Foundations of Software Science and Computation Structures. Foundations of Software Science and Computation Structures, Lect. Notes Comput. Sci., vol. 10203 (2017), Springer: Springer Berlin), 355-369 · Zbl 1486.68146
[11] Coecke, Bob; Spekkens, Robert W., Picturing classical and quantum Bayesian inference, Synthese, 186, 3, 651-696 (2012) · Zbl 1275.60006
[12] Culbertson, Jared; Sturtz, Kirk, A categorical foundation for Bayesian probability, Appl. Categ. Struct., 22, 4, 647-662 (2014) · Zbl 1302.60011
[13] Farenick, Douglas; Kozdron, Michael J., Conditional expectation and Bayes’ rule for quantum random variables and positive operator valued measures, J. Math. Phys., 53, 4, Article 042201 pp. (2012) · Zbl 1283.46031
[14] Fong, Brendan, Causal theories: a categorical perspective on Bayesian networks (2012), University of Oxford, available at:
[15] Uwe, Franz, What is stochastic independence?, (Non-Commutativity, Infinite-Dimensionality and Probability at the Crossroads (2002), World Scientific), 254-274, also available at: · Zbl 1046.81068
[16] Fremlin, D. H., Measure Theory. Vol. 4 (2006), Torres Fremlin: Torres Fremlin Colchester, update version (as of 23.3.10) available at: · Zbl 1166.28001
[17] Fritz, Tobias, A synthetic approach to Markov kernels, conditional independence and theorems on sufficient statistics, Adv. Math., 370, Article 107239 pp. (2020) · Zbl 1505.60004
[18] Fullwood, James; Parzygnat, Arthur J., On quantum states over time (2022), arXiv preprint:
[19] Gagné, Nicolas; Panangaden, Prakash, A categorical characterization of relative entropy on standard Borel spaces, (The Thirty-Third Conference on the Mathematical Foundations of Programming Semantics (MFPS XXXIII). The Thirty-Third Conference on the Mathematical Foundations of Programming Semantics (MFPS XXXIII), Electron. Notes Theor. Comput. Sci., vol. 336 (2018), Elsevier Sci. B.V.: Elsevier Sci. B.V. Amsterdam), 135-153 · Zbl 1525.60011
[20] Gallier, Jean, The Schur complement and symmetric positive semidefinite (and definite) matrices (2019)
[21] Giorgetti, Luca; Parzygnat, Arthur J.; Ranallo, Alessio; Russo, Benjamin P., Bayesian inversion and the Tomita-Takesaki modular group (2021), arXiv preprint:
[22] Giry, Michèle, A categorical approach to probability theory, (Categorical Aspects of Topology and Analysis. Categorical Aspects of Topology and Analysis, Ottawa, Ont., 1980. Categorical Aspects of Topology and Analysis. Categorical Aspects of Topology and Analysis, Ottawa, Ont., 1980, Lecture Notes in Math., vol. 915 (1982), Springer: Springer Berlin-New York), 68-85 · Zbl 0486.60034
[23] Golubtsov, Peter V., Monoidal Kleisli category as a background for information transformers theory, Inf. Theory Inf. Process., 2, 1, 62-84 (2002)
[24] Holbrook, John A.; Kribs, David W.; Laflamme, Raymond, Noiseless subsystems and the structure of the commutant in quantum error correction, Quantum Inf. Process., 2, 5, 381-419 (2003) · Zbl 1130.94335
[25] Horsman, Dominic; Heunen, Chris; Pusey, Matthew F.; Barrett, Jonathan; Spekkens, Robert W., Can a quantum state over time resemble a quantum state at a single time?, Proc. R. Soc. A, 473, 2205, Article 20170395 pp. (2017) · Zbl 1402.81041
[26] Jacobs, Bart, Probabilities, distribution monads, and convex categories, Theor. Comput. Sci., 412, 28, 3323-3336 (2011), Festschrift in Honour of Jan Bergstra · Zbl 1218.18003
[27] Jacobs, Bart, From probability monads to commutative effectuses, J. Log. Algebraic Methods Program., 94, 200-237 (2018) · Zbl 1382.68073
[28] Jacobs, Bart, Lower and upper conditioning in quantum Bayesian theory, (Selinger, Peter; Chiribella, Giulio, Proceedings of the 15th International Conference on Quantum Physics and Logic. Proceedings of the 15th International Conference on Quantum Physics and Logic, Halifax, Canada, 3-7th June 2018. Proceedings of the 15th International Conference on Quantum Physics and Logic. Proceedings of the 15th International Conference on Quantum Physics and Logic, Halifax, Canada, 3-7th June 2018, Electronic Proceedings in Theoretical Computer Science, vol. 287 (2019), Open Publishing Association), 225-238 · Zbl 1486.60004
[29] Jacobs, Bart, The mathematics of changing one’s mind, via Jeffrey’s or via Pearl’s update rule, J. Artif. Intell. Res., 65, 783-806 (2019) · Zbl 1493.68356
[30] Jacobs, Bart, A channel-based perspective on conjugate priors, Math. Struct. Comput. Sci., 30, 1, 44-61 (2020) · Zbl 1442.62054
[31] Jacobs, Bart; Kissinger, Aleks; Zanasi, Fabio, Causal inference by string diagram surgery, (International Conference on Foundations of Software Science and Computation Structures (2019), Springer), 313-329 · Zbl 1524.62060
[32] Kissinger, Aleks; Uijlen, Sander, A categorical semantics for causal structure, Log. Methods Comput. Sci., 15 (2019) · Zbl 1442.68146
[33] Kolmogorov, Andrey N., Foundations of the Theory of Probability (2013), Martino Fine Books
[34] Kribs, David W., Quantum channels, wavelets, dilations and representations of \(\mathcal{O}_n\), Proc. Edinb. Math. Soc., 46, 2, 421-433 (2003) · Zbl 1051.46046
[35] F.W. Lawvere, The category of probabilistic mappings, Preprint, 1962.
[36] Leifer, Matthew S., Quantum dynamics as an analog of conditional probability, Phys. Rev. A, 74, Article 042310 pp. (2006)
[37] Leifer, Matthew S., Conditional density operators and the subjectivity of quantum operations, (Foundations of Probability and Physics - 4. Foundations of Probability and Physics - 4, AIP Conference Proceedings, vol. 889 (2007), AIP), 172-186 · Zbl 1138.81334
[38] Leifer, Matthew S.; Spekkens, Robert W., Towards a formulation of quantum theory as a causally neutral theory of Bayesian inference, Phys. Rev. A, 88, Article 052130 pp. (2013)
[39] Maassen, Hans, Quantum probability and quantum information theory, (Quantum Information, Computation and Cryptography. Quantum Information, Computation and Cryptography, Lect. Notes Physics (2010), Springer), 65-108 · Zbl 1208.81055
[40] Nakamura, Masahiro; Takesaki, Masamichi; Umegaki, Hisaharu, A remark on the expectations of operator algebras, (Kodai Mathematical Seminar Reports, vol. 12 (1960), Department of Mathematics, Tokyo Institute of Technology), 82-90 · Zbl 0102.10802
[41] Nielsen, Michael A.; Chuang, Isaac L., Quantum Computation and Quantum Information (2011), Cambridge University Press: Cambridge University Press New York, NY, USA · Zbl 1049.81015
[42] Ohya, Masanori; Petz, Dénes, Quantum Entropy and Its Use, Texts and Monographs in Physics (1993), Springer-Verlag: Springer-Verlag Berlin · Zbl 0891.94008
[43] Ollivier, Harold; Zurek, Wojciech H., Quantum discord: a measure of the quantumness of correlations, Phys. Rev. Lett., 88, Article 017901 pp. (2001) · Zbl 1255.81071
[44] Prakash, Panangaden, The category of Markov kernels, (PROBMIV’98: First International Workshop on Probabilistic Methods in Verification. PROBMIV’98: First International Workshop on Probabilistic Methods in Verification, Indianapolis, IN. PROBMIV’98: First International Workshop on Probabilistic Methods in Verification. PROBMIV’98: First International Workshop on Probabilistic Methods in Verification, Indianapolis, IN, Electron. Notes Theor. Comput. Sci., vol. 22 (1999), Elsevier Sci. B.V.: Elsevier Sci. B.V. Amsterdam), 17 · Zbl 0920.68067
[45] Parzygnat, Arthur J., Discrete probabilistic and algebraic dynamics: a stochastic Gelfand-Naimark theorem (2017), arXiv preprint:
[46] Parzygnat, Arthur J., Inverses, disintegrations, and Bayesian inversion in quantum Markov categories (2020), arXiv preprint:
[47] Parzygnat, Arthur J., Conditional distributions for quantum systems, (Proceedings 18th International Conference on Quantum Physics and Logic. Proceedings 18th International Conference on Quantum Physics and Logic, Electronic Proceedings in Theoretical Computer Science (EPTCS), vol. 343 (2021)), 1-13
[48] Parzygnat, Arthur J.; Russo, Benjamin P., Non-commutative disintegrations: existence and uniqueness in finite dimensions (2019), arXiv preprint:
[49] Petz, Dénes, A dual in von Neumann algebras with weights, Q. J. Math., 35, 4, 475-483 (1984) · Zbl 0571.46042
[50] Rédei, Miklós, When can non-commutative statistical inference be Bayesian?, Int. Stud. Philos. Sci., 6, 2, 129-132 (1992)
[51] Selby, John H.; Scandolo, Carlo Maria; Coecke, Bob, Reconstructing quantum theory from diagrammatic postulates (2018), arXiv preprint:
[52] Shor, Peter W., Algorithms for quantum computation: discrete logarithms and factoring, (Proceedings 35th Annual Symposium on Foundations of Computer Science (1994), IEEE), 124-134
[53] Størmer, Erling, Positive Linear Maps of Operator Algebras, Springer Monographs in Mathematics (2013), Springer: Springer Heidelberg · Zbl 1269.46003
[54] Tipping, Michael E., Bayesian inference: an introduction to principles and practice in machine learning, (Bousquet, Olivier; von Luxburg, Ulrike; Rätsch, Gunnar, Advanced Lectures on Machine Learning: ML Summer Schools 2003, Revised Lectures. Advanced Lectures on Machine Learning: ML Summer Schools 2003, Revised Lectures, Canberra, Australia, February 2 - 14, 2003, Tübingen, Germany, August 4 - 16, 2003 (2004), Springer: Springer Berlin, Heidelberg), 41-62 · Zbl 1120.68438
[55] Topping, David M., Lectures on von Neumann Algebras (1971), Van Nostrand Reinhold Company · Zbl 0218.46061
[56] Vakhania, Nicholas; Tarieladze, Vazha, Regular conditional probabilities and disintegrations, Bull. Georgian Natl. Acad. Sci., 175, 2 (2007) · Zbl 1195.60006
[57] Vanslette, Kevin, The quantum Bayes rule and generalizations from the quantum maximum entropy method, J. Phys. Commun., 2, 2, Article 025017 pp. (2018)
[58] Werner, Reinhard, Mathematical methods of quantum information theory (2017), Lecture recording available at:
[59] Westerbaan, Abraham, Quantum programs as Kleisli maps, (Proceedings 13th International Conference on Quantum Physics and Logic. Proceedings 13th International Conference on Quantum Physics and Logic, Electron. Proc. Theor. Comput. Sci. (EPTCS), vol. 236 (2017), EPTCS), 215-228 · Zbl 1486.81071
[60] Wolf, Michael M., Quantum channels & operations: guided tour (2012)
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.