Admissible Causal Structures and Correlations
- URL: http://arxiv.org/abs/2210.12796v2
- Date: Sat, 16 Sep 2023 21:05:17 GMT
- Title: Admissible Causal Structures and Correlations
- Authors: Eleftherios-Ermis Tselentis and \"Amin Baumeler
- Abstract summary: We study limitations on causal structures and correlations imposed by local quantum theory.
For one, we find a necessary graph theoretic criterion--the "siblings-on-cycles" property--for a causal structure to be admissible.
We show that these causal models, in a restricted setting, are indeed consistent.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: It is well-known that if one assumes quantum theory to hold locally, then
processes with indefinite causal order and cyclic causal structures become
feasible. Here, we study qualitative limitations on causal structures and
correlations imposed by local quantum theory. For one, we find a necessary
graph theoretic criterion--the "siblings-on-cycles" property--for a causal
structure to be admissible: Only such causal structures admit a realization
consistent with local quantum theory. We conjecture that this property is
moreover sufficient. This conjecture is motivated by an explicit construction
of quantum causal models, and supported by numerical calculations. We show that
these causal models, in a restricted setting, are indeed consistent. For
another, we identify two sets of causal structures that, in the
classical-deterministic case, give rise to causal and non-causal correlations
respectively.
Related papers
- A Semantics for Counterfactuals in Quantum Causal Models [0.0]
We introduce a formalism for the evaluation of counterfactual queries in the framework of quantum causal models.
We define a suitable extension of Pearl's notion of a 'classical structural causal model'
We show that every classical (probabilistic) structural causal model can be extended to a quantum structural causal model.
arXiv Detail & Related papers (2023-02-23T05:00:14Z) - Witnessing Non-Classicality in a Simple Causal Structure with Three
Observable Variables [0.7036032466145112]
We analyze the Evans scenario, akin to the causal structure underlying the entanglement-swapping experiment.
We prove that post-quantum correlations, analogous to the paradigmatic Popescu-Rohrlich box, do violate the constraints imposed by a classical description of Evans causal structure.
arXiv Detail & Related papers (2022-11-23T23:29:35Z) - Causal structure in the presence of sectorial constraints, with
application to the quantum switch [0.0]
Existing work on quantum causal structure assumes that one can perform arbitrary operations on systems of interest.
We extend the framework for quantum causal modelling to situations where a system can suffer sectorial constraints.
arXiv Detail & Related papers (2022-04-21T17:18:31Z) - Non-standard entanglement structure of local unitary self-dual models as
a saturated situation of repeatability in general probabilistic theories [61.12008553173672]
We show the existence of infinite structures of quantum composite system such that it is self-dual with local unitary symmetry.
We also show the existence of a structure of quantum composite system such that non-orthogonal states in the structure are perfectly distinguishable.
arXiv Detail & Related papers (2021-11-29T23:37:58Z) - A general framework for cyclic and fine-tuned causal models and their
compatibility with space-time [2.0305676256390934]
Causal modelling is a tool for generating causal explanations of observed correlations.
Existing frameworks for quantum causality tend to focus on acyclic causal structures that are not fine-tuned.
Cyclist causal models can be used to model physical processes involving feedback.
Cyclist causal models may also be relevant in exotic solutions of general relativity.
arXiv Detail & Related papers (2021-09-24T18:00:08Z) - Causal Expectation-Maximisation [70.45873402967297]
We show that causal inference is NP-hard even in models characterised by polytree-shaped graphs.
We introduce the causal EM algorithm to reconstruct the uncertainty about the latent variables from data about categorical manifest variables.
We argue that there appears to be an unnoticed limitation to the trending idea that counterfactual bounds can often be computed without knowledge of the structural equations.
arXiv Detail & Related papers (2020-11-04T10:25:13Z) - Structural Causal Models Are (Solvable by) Credal Networks [70.45873402967297]
Causal inferences can be obtained by standard algorithms for the updating of credal nets.
This contribution should be regarded as a systematic approach to represent structural causal models by credal networks.
Experiments show that approximate algorithms for credal networks can immediately be used to do causal inference in real-size problems.
arXiv Detail & Related papers (2020-08-02T11:19:36Z) - Models of zero-range interaction for the bosonic trimer at unitarity [91.3755431537592]
We present the construction of quantum Hamiltonians for a three-body system consisting of identical bosons mutually coupled by a two-body interaction of zero range.
For a large part of the presentation, infinite scattering length will be considered.
arXiv Detail & Related papers (2020-06-03T17:54:43Z) - On the complex behaviour of the density in composite quantum systems [62.997667081978825]
We study how the probability of presence of a particle is distributed between the two parts of a composite fermionic system.
We prove that it is a non-perturbative property and we find out a large/small coupling constant duality.
Inspired by the proof of KAM theorem, we are able to deal with this problem by introducing a cut-off in energies that eliminates these small denominators.
arXiv Detail & Related papers (2020-04-14T21:41:15Z) - Cyclic Quantum Causal Models [0.0]
Causal reasoning is essential to science, yet quantum theory challenges it.
Quantum correlations violating Bell inequalities defy satisfactory causal explanations.
A theory encompassing quantum systems and gravity is expected to allow causally nonseparable processes.
arXiv Detail & Related papers (2020-02-27T15:07:22Z) - A Critical View of the Structural Causal Model [89.43277111586258]
We show that one can identify the cause and the effect without considering their interaction at all.
We propose a new adversarial training method that mimics the disentangled structure of the causal model.
Our multidimensional method outperforms the literature methods on both synthetic and real world datasets.
arXiv Detail & Related papers (2020-02-23T22:52:28Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.