Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

QP-PQ, quantum probability and white noise analysis

THE STATISTICAL INVARIANTS IN QUANTUM PROBABILITY AND DE FINETTI'S COHERENCE PRINCIPLE

Angelo Gilio

Published Sep 1, 1993• 0 citations
Publisher
DOI
10.1142/9789812812810_0016

Related papers

The World According to de Finetti: On de Finetti’s Theory of Probability and Its Application to Quantum Mechanics

Joseph Berkovitz

The frontiers collection•Aug 13, 2011•7 citations

INVESTIGATION OF THE FOUNDATIONS OF THE QUANTUM PROBABILITY THEORY (HILBERT SPACE AND UNDULATION PRINCIPLE)

Georges Bodiou

Annals of Physics•Jul 1, 1950•0 citations

Systems of covariance in quantum probability

Stanley Gudder

International Journal of Theoretical Physics•May 1, 1992•0 citations

ON QUANTUM PROBABILITY

Igor Evgenievich Pris

Философия науки•Jan 1, 2022•3 citations

Asymptotic Compression of Interactive Quantum Communication using Type-Constrained de Finetti Reduction

Louis Desruisseaux, Simon Ducharme, Gurleen Padda +1 more

For many information processing tasks, de Finetti-style theorems can often simplify the analysis in worst-case input scenarios for which the task exhibits some permutation-invariance symmetry, as they can allow for a reduction from an analysis on worst-case inputs to that of i.i.d. inputs. If further information is available on the inputs, it might be advantageous to reflect this information in the de Finetti reduction. In our work, we focus on a form of such constraint, based on the type of the input. This allows us to obtain a conceptually simple proof of a new de Finetti reduction for classical probability distributions, derived from elementary properties from the method of types. We apply our constrained de Finetti reduction to the compression of quantum interactive communication protocols with classical inputs, and prove that the prior-free quantum information cost equals the worst-case input amortized quantum communication cost.

quant-pharXiv:2606.24746•Jun 24, 2026•0 citations

de Finetti reductions beyond quantum theory

Rotem Arnon-Friedman, Renato Renner

de Finetti-type theorems enable a substantially simplified analysis of information-processing tasks in various areas, such as quantum cryptography and quantum tomography. The idea is that instead of carrying out the analysis for any possible state it is sufficient to consider one particular de Finetti state, that is, a convex combination of i.i.d. states. It is thus interesting to see whether such de Finetti-type theorems are unique for quantum theory or whether they hold for more general theories. Here we prove a de Finetti-type theorem in the framework of conditional probability distributions. In this framework, a system is described by a conditional probability distribution P_A|X where X denotes the measurement and A the outcome. We show that any permutation invariant system P_A|X can be reduced to a de Finetti system. We then demonstrate how the theorem can be applied to security proofs of device independent cryptographic protocols.

•Aug 1, 2013•0 citations
For many information processing tasks, de Finetti-style theorems can often simplify the analysis in worst-case input scenarios for which the task exhibits some permutation-invariance symmetry, as they can allow for a reduction from an analysis on worst-case inputs to that of i.i.d. inputs. If further information is available on the inputs, it might be advantageous to reflect this information in the de Finetti reduction. In our work, we focus on a form of such constraint, based on the type of the input. This allows us to obtain a conceptually simple proof of a new de Finetti reduction for classical probability distributions, derived from elementary properties from the method of types. We apply our constrained de Finetti reduction to the compression of quantum interactive communication protocols with classical inputs, and prove that the prior-free quantum information cost equals the worst-case input amortized quantum communication cost.
de Finetti-type theorems enable a substantially simplified analysis of information-processing tasks in various areas, such as quantum cryptography and quantum tomography. The idea is that instead of carrying out the analysis for any possible state it is sufficient to consider one particular de Finetti state, that is, a convex combination of i.i.d. states. It is thus interesting to see whether such de Finetti-type theorems are unique for quantum theory or whether they hold for more general theories. Here we prove a de Finetti-type theorem in the framework of conditional probability distributions. In this framework, a system is described by a conditional probability distribution P_A|X where X denotes the measurement and A the outcome. We show that any permutation invariant system P_A|X can be reduced to a de Finetti system. We then demonstrate how the theorem can be applied to security proofs of device independent cryptographic protocols.