From compatibility of measurements to exploring Quantum Darwinism on NISQ
- URL: http://arxiv.org/abs/2601.05350v1
- Date: Thu, 08 Jan 2026 20:04:38 GMT
- Title: From compatibility of measurements to exploring Quantum Darwinism on NISQ
- Authors: Emery Doucet, Sebastian Deffner,
- Abstract summary: We study the breaking of Quantum Darwinism in a specific model and how that translates to non-classical measurement statistics.<n>This provides effective tools for benchmarking the genuine quantum characteristics of NISQ hardware.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Quantum Darwinism explains how tenets of classical reality, such as objectivity and repeatability, emerge within a quantum universe. As a mathematical framework, Quantum Darwinism also provides guiding principles that determine what physical models support emergent classical behavior, what specific observables obey classical laws, and much more. For instance, in a recent work we elucidated that the limit under which Kirkwood-Dirac quasiprobability distributions become effectively classical coincides with the regime where the underlying physical model obeys the rules of Quantum Darwinism. In the present work, we study the breaking of Quantum Darwinism in a specific model and how that translates to non-classical measurement statistics. Interestingly, this provides effective tools for benchmarking the genuine quantum characteristics of NISQ hardware, which we demonstrate with IonQ's trapped-ion and IBM's superconducting quantum computing platforms.
Related papers
- Absence of quantum Darwinism as a resource in secure quantum communication and computation [0.0]
We show that the absence of objectivity has a quantum advantage in cryptography.<n>A key ingredient of an efficient classical simulation algorithm, a knowledge of the local basis in which the multi-party state is diagonal, is made available by quantum Darwinism.
arXiv Detail & Related papers (2025-10-03T17:57:26Z) - Observation of Quantum Darwinism and the Origin of Classicality with Superconducting Circuits [9.09683951826704]
How can we rationalize everyday classical observations from an inherently quantum world?<n>Quantum Darwinism offers a compelling framework to explain this emergence of classicality.<n>We observe the highly structured branching quantum states that support classicality and the saturation of quantum mutual information.
arXiv Detail & Related papers (2025-04-01T13:33:32Z) - Operationally classical simulation of quantum states [41.94295877935867]
A classical state-preparation device cannot generate superpositions and hence its emitted states must commute.<n>We show that no such simulation exists, thereby certifying quantum coherence.<n>Our approach is a possible avenue to understand how and to what extent quantum states defy generic models based on classical devices.
arXiv Detail & Related papers (2025-02-03T15:25:03Z) - Statistical inference for quantum singular models [0.39102514525861415]
We focus on two prominent tasks in quantum statistical inference: quantum state estimation and model selection.
Key idea of the proof is the introduction of a quantum analog of the likelihood function using classical shadows.
arXiv Detail & Related papers (2024-11-25T14:01:55Z) - A Theory of Quantum Jumps [44.99833362998488]
We study fluorescence and the phenomenon of quantum jumps'' in idealized models of atoms coupled to the quantized electromagnetic field.
Our results amount to a derivation of the fundamental randomness in the quantum-mechanical description of microscopic systems.
arXiv Detail & Related papers (2024-04-16T11:00:46Z) - Quantum data learning for quantum simulations in high-energy physics [55.41644538483948]
We explore the applicability of quantum-data learning to practical problems in high-energy physics.
We make use of ansatz based on quantum convolutional neural networks and numerically show that it is capable of recognizing quantum phases of ground states.
The observation of non-trivial learning properties demonstrated in these benchmarks will motivate further exploration of the quantum-data learning architecture in high-energy physics.
arXiv Detail & Related papers (2023-06-29T18:00:01Z) - Quantum Theory of the Classical: Einselection, Envariance, Quantum
Darwinism and Extantons [0.0]
Core quantum postulates including the superposition principle and the unitarity of evolutions are natural and strikingly simple.
I show that -- when supplemented with a limited version of predictability (captured in the textbook accounts by the repeatability postulate) -- these core postulates can account for all the symptoms of classicality.
arXiv Detail & Related papers (2022-08-18T18:46:53Z) - Theory of Quantum Generative Learning Models with Maximum Mean
Discrepancy [67.02951777522547]
We study learnability of quantum circuit Born machines (QCBMs) and quantum generative adversarial networks (QGANs)
We first analyze the generalization ability of QCBMs and identify their superiorities when the quantum devices can directly access the target distribution.
Next, we prove how the generalization error bound of QGANs depends on the employed Ansatz, the number of qudits, and input states.
arXiv Detail & Related papers (2022-05-10T08:05:59Z) - Witnessing Objectivity on a Quantum Computer [0.0]
NISQ devices can be used as experimental platforms in the field of quantum Darwinism.
We simulate an exactly solvable collision model, taking advantage of the analytical solution to benchmark the experimental results.
arXiv Detail & Related papers (2021-10-12T18:01:03Z) - Quantum realism: axiomatization and quantification [77.34726150561087]
We build an axiomatization for quantum realism -- a notion of realism compatible with quantum theory.
We explicitly construct some classes of entropic quantifiers that are shown to satisfy almost all of the proposed axioms.
arXiv Detail & Related papers (2021-10-10T18:08:42Z) - From a quantum theory to a classical one [117.44028458220427]
We present and discuss a formal approach for describing the quantum to classical crossover.
The method was originally introduced by L. Yaffe in 1982 for tackling large-$N$ quantum field theories.
arXiv Detail & Related papers (2020-04-01T09:16:38Z)
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.