Gravitational interaction through a feedback mechanism
- URL: http://arxiv.org/abs/2007.11980v3
- Date: Tue, 16 Feb 2021 20:58:49 GMT
- Title: Gravitational interaction through a feedback mechanism
- Authors: Jos\'e Luis Gaona-Reyes, Matteo Carlesso, Angelo Bassi
- Abstract summary: We study the models of Kafri, Taylor and Milburn (KTM) and Tilloy and Di'osi (TD)
Both of which implement gravity between quantum systems through a continuous measurement and feedback mechanism.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: We study the models of Kafri, Taylor and Milburn (KTM) and Tilloy and Di\'osi
(TD), both of which implement gravity between quantum systems through a
continuous measurement and feedback mechanism. The first model is for two
particles, moving in one dimension, where the Newtonian potential is
linearized. The second is applicable to any quantum system, within the context
of Newtonian gravity. We address the issue of how to generalize the KTM model
for an arbitrary finite number of particles. We find that the most
straightforward generalisations are either inconsistent or are ruled out by
experimental evidence. We also show that the TD model does not reduce to the
KTM model under the approximations which define the latter model. We then argue
that under the simplest conditions, the TD model is the only viable
implementation of a full-Newtonian interaction through a continuous measurement
and feedback mechanism.
Related papers
- Scattering Neutrinos, Spin Models, and Permutations [42.642008092347986]
We consider a class of Heisenberg all-to-all coupled spin models inspired by neutrino interactions in a supernova with $N$ degrees of freedom.
These models are characterized by a coupling matrix that is relatively simple in the sense that there are only a few, relative to $N$, non-trivial eigenvalues.
arXiv Detail & Related papers (2024-06-26T18:27:15Z) - Correlations and Signaling in the Schrödinger-Newton Model [1.8847142777010908]
The Schr"odinger-Newton model is a semi-classical theory in which, in addition to mutual attraction, massive quantum particles interact with their own gravitational fields.
Here, we show that the Schr"odinger-Newton interactions preserve the product form of initial states, yet on average it agrees with classical mechanics of continuous mass distributions.
arXiv Detail & Related papers (2024-06-13T15:30:16Z) - Ultracold Neutrons in the Low Curvature Limit: Remarks on the
post-Newtonian effects [49.1574468325115]
We apply a perturbative scheme to derive the non-relativistic Schr"odinger equation in curved spacetime.
We calculate the next-to-leading order corrections to the neutron's energy spectrum.
While the current precision for observations of ultracold neutrons may not yet enable to probe them, they could still be relevant in the future or in alternative circumstances.
arXiv Detail & Related papers (2023-12-30T16:45:56Z) - Strongly incoherent gravity [0.0]
A non-entangling version of an arbitrary two-body potential $V(r)$ arises from local measurements and feedback forces.
This produces a non-relativistic model of gravity with fundamental loss of unitarity.
As an alternative to testing entanglement properties, we show that the entire remaining parameter space can be tested by looking for loss of quantum coherence in small systems.
arXiv Detail & Related papers (2023-01-20T01:09:12Z) - Quantum vibrational mode in a cavity confining a massless spinor field [91.3755431537592]
We analyse the reaction of a massless (1+1)-dimensional spinor field to the harmonic motion of one cavity wall.
We demonstrate that the system is able to convert bosons into fermion pairs at the lowest perturbative order.
arXiv Detail & Related papers (2022-09-12T08:21:12Z) - Quantum correlations beyond entanglement in a classical-channel model of
gravity [0.0]
We show that a classical-channel model of gravity can still establish quantum correlations in the form of quantum discord between two masses.
This is demonstrated for the Kafri-Taylor-Milburn (KTM) model and a recently proposed dissipative extension of this.
arXiv Detail & Related papers (2022-05-30T18:00:02Z) - Entanglement dynamics of thermofield double states in integrable models [0.0]
We study the entanglement dynamics of thermofield double (TFD) states in integrable spin chains and quantum field theories.
We show that, for a natural choice of the Hamiltonian eigenbasis, the TFD evolution may be interpreted as a quantum quench from an initial state.
We conjecture a formula for the entanglement dynamics, which is valid for both discrete and continuous integrable field theories.
arXiv Detail & Related papers (2021-12-03T16:40:36Z) - Gravity as a classical channel and its dissipative generalization [0.0]
Recent models reconstruct the proper quantum gravitational interaction at the level of the master equation for the statistical operator.
We show that, in the long time limit, the system thermalizes to an effective finite temperature.
arXiv Detail & Related papers (2021-06-24T20:18:48Z) - Qubit regularization of asymptotic freedom [35.37983668316551]
Heisenberg-comb acts on a Hilbert space with only two qubits per spatial lattice site.
We show that the model reproduces the universal step-scaling function of the traditional model up to correlation lengths of 200,000 in lattice units.
We argue that near-term quantum computers may suffice to demonstrate freedom.
arXiv Detail & Related papers (2020-12-03T18:41:07Z) - Learning Unknown Physics of non-Newtonian Fluids [56.9557910899739]
We extend the physics-informed neural network (PINN) method to learn viscosity models of two non-Newtonian systems.
The PINN-inferred viscosity models agree with the empirical models for shear rates with large absolute values but deviate for shear rates near zero.
We use the PINN method to solve the momentum conservation equation for non-Newtonian fluid flow using only the boundary conditions.
arXiv Detail & Related papers (2020-08-26T20:41:36Z) - Generative Ensemble Regression: Learning Particle Dynamics from
Observations of Ensembles with Physics-Informed Deep Generative Models [27.623119767592385]
We propose a new method for inferring the governing ordinary differential equations (SODEs) by observing particle ensembles at discrete and sparse time instants.
Particle coordinates at a single time instant, possibly noisy or truncated, are recorded in each snapshot but are unpaired across the snapshots.
By training a physics-informed generative model that generates "fake" sample paths, we aim to fit the observed particle ensemble distributions with a curve in the probability measure space.
arXiv Detail & Related papers (2020-08-05T03:06:40Z)
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.