Learning quantum dissipation by the neural ordinary differential
equation
- URL: http://arxiv.org/abs/2207.09056v1
- Date: Tue, 19 Jul 2022 04:00:47 GMT
- Title: Learning quantum dissipation by the neural ordinary differential
equation
- Authors: Li Chen, Yadong Wu
- Abstract summary: We learn the quantum dissipation from dynamical observations using the neural ordinary differential equation.
We also investigate the learning efficiency of the dataset, which provides useful guidance for data acquisition in experiments.
- Score: 10.306364305450407
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Quantum dissipation arises from the unavoidable coupling between a quantum
system and its surrounding environment, which is known as a major obstacle in
the quantum processing of information. Apart from its existence, how to trace
the dissipation from observational data is a crucial topic that may stimulate
manners to suppress the dissipation. In this paper, we propose to learn the
quantum dissipation from dynamical observations using the neural ordinary
differential equation, and then demonstrate this method concretely on two open
quantum-spin systems -- a large spin system and a spin-1/2 chain. We also
investigate the learning efficiency of the dataset, which provides useful
guidance for data acquisition in experiments. Our work promisingly facilitates
effective modeling and decoherence suppression in open quantum systems.
Related papers
- Suppression of quantum dissipation: A cooperative effect of quantum squeezing and quantum measurement [22.051290654737976]
We propose a scheme for beating environment-induced dissipation in an open two-level system coupled to a parametrically driven cavity.
We demonstrate that, in the presence of the cooperation, the system dynamics can be completely dominated by the effective system-cavity interaction.
This work provides a generic method of dissipation suppression in a variety of quantum mechanical platforms, including natural atoms and superconducting circuits.
arXiv Detail & Related papers (2024-07-12T15:10:44Z) - Mitigating scattering in a quantum system using only an integrating sphere [4.6236036899924455]
In quantum systems, scattering can contribute to both decoherence and loss.
We present an experimental scheme capable of significantly mitigating the adverse impact of scattering.
Our scheme is a pioneering step towards recovering quantum correlations from disruptive random processes.
arXiv Detail & Related papers (2024-05-24T21:26:56Z) - Data-driven discovery of statistically relevant information in quantum
simulators [0.0]
We present a theoretical framework for information extraction in synthetic quantum matter.
We demonstrate a system-agnostic approach to identify dominant degrees of freedom.
Our assumption-free approach can be immediately applied in a variety of experimental platforms.
arXiv Detail & Related papers (2023-07-19T15:20:11Z) - 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) - Coalescence of non-Markovian dissipation, quantum Zeno effect and
non-Hermitian physics, in a simple realistic quantum system [0.0]
We develop a theoretical framework in terms of the time-dependent Schrodinger equation of motion.
The link between the peaked structure of the effective decay rate of the qubit that interacts indirectly with the environment, and the onset of the quantum Zeno effect is discussed in great detail.
Our treatment and results have revealed an intricate interplay between non-Markovian dynamics, quantum Zeno effect and non-Hermitian physics.
arXiv Detail & Related papers (2022-06-28T09:28:02Z) - Noisy Quantum Kernel Machines [58.09028887465797]
An emerging class of quantum learning machines is that based on the paradigm of quantum kernels.
We study how dissipation and decoherence affect their performance.
We show that decoherence and dissipation can be seen as an implicit regularization for the quantum kernel machines.
arXiv Detail & Related papers (2022-04-26T09:52:02Z) - Probing non-Markovian quantum dynamics with data-driven analysis: Beyond
"black-box" machine learning models [0.0]
We propose a data-driven approach to the analysis of the non-Markovian dynamics of open quantum systems.
Our method allows, on the one hand, capturing the effective dimension of the environment and the spectrum of the joint system-environment quantum dynamics.
We demonstrate the performance of the proposed approach with various models of open quantum systems.
arXiv Detail & Related papers (2021-03-26T14:27:33Z) - Continuous-time dynamics and error scaling of noisy highly-entangling
quantum circuits [58.720142291102135]
We simulate a noisy quantum Fourier transform processor with up to 21 qubits.
We take into account microscopic dissipative processes rather than relying on digital error models.
We show that depending on the dissipative mechanisms at play, the choice of input state has a strong impact on the performance of the quantum algorithm.
arXiv Detail & Related papers (2021-02-08T14:55:44Z) - Information Scrambling in Computationally Complex Quantum Circuits [56.22772134614514]
We experimentally investigate the dynamics of quantum scrambling on a 53-qubit quantum processor.
We show that while operator spreading is captured by an efficient classical model, operator entanglement requires exponentially scaled computational resources to simulate.
arXiv Detail & Related papers (2021-01-21T22:18:49Z) - Quantum information spreading in a disordered quantum walk [50.591267188664666]
We design a quantum probing protocol using Quantum Walks to investigate the Quantum Information spreading pattern.
We focus on the coherent static and dynamic disorder to investigate anomalous and classical transport.
Our results show that a Quantum Walk can be considered as a readout device of information about defects and perturbations occurring in complex networks.
arXiv Detail & Related papers (2020-10-20T20:03:19Z) - Quantum Non-equilibrium Many-Body Spin-Photon Systems [91.3755431537592]
dissertation concerns the quantum dynamics of strongly-correlated quantum systems in out-of-equilibrium states.
Our main results can be summarized in three parts: Signature of Critical Dynamics, Driven Dicke Model as a Test-bed of Ultra-Strong Coupling, and Beyond the Kibble-Zurek Mechanism.
arXiv Detail & Related papers (2020-07-23T19:05:56Z)
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.