Maximizing information obtainable by quantum sensors through the Quantum Zeno Effect
- URL: http://arxiv.org/abs/2403.11339v1
- Date: Sun, 17 Mar 2024 20:45:39 GMT
- Title: Maximizing information obtainable by quantum sensors through the Quantum Zeno Effect
- Authors: Bruno Ronchi, Analia Zwick, Gonzalo A. Alvarez,
- Abstract summary: We exploit the Quantum Zeno Effect (QZE) as a tool for maximizing information obtainable by quantum sensors.
We introduce the concept of information amplification by the QZE for a LAC system under off-resonant conditions.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Efficient quantum sensing technologies rely on precise control of quantum sensors, particularly two-level systems or qubits, to optimize estimation processes. We here exploit the Quantum Zeno Effect (QZE) as a tool for maximizing information obtainable by quantum sensors, with a specific focus on the level avoided crossing (LAC) phenomenon in qubit systems. While the estimation of the LAC energy splitting has been extensively studied, we emphasize the crucial role that the QZE can play in estimating the coupling strength. We introduce the concept of information amplification by the QZE for a LAC system under off-resonant conditions. The proposed approach has implications for AC magnetic field sensing and the caracterization of complex systems, including many-spin systems requiring the estimation of spin-spin couplings. Overall, our findings contribute to the advancement of quantum sensing by leveraging the QZE for improved control and information extraction.
Related papers
- Quantum Sensing with Nanoelectronics: Fisher Information for an Adiabatic Perturbation [0.0]
Quantum systems can offer enhanced precision over their classical counterparts.
Quantum Fisher information (QFI) characterizes the precision of parameter estimation for an ideal measurement.
For quantum dot nanoelectronics devices, we show that electron interactions can lead to exponential scaling of the QFI with system size.
arXiv Detail & Related papers (2024-06-26T18:03:17Z) - Does the system entanglement care about the readout efficiency of
quantum measurement? [49.1574468325115]
We quantify the entanglement for a particle on a 1d quantum random walk under inefficient monitoring.
We find that the system's maximal mean entanglement at the measurement-induced quantum-to-classical crossover is in different ways by the measurement strength and inefficiency.
arXiv Detail & Related papers (2024-02-29T18:10:05Z) - Neural auto-designer for enhanced quantum kernels [59.616404192966016]
We present a data-driven approach that automates the design of problem-specific quantum feature maps.
Our work highlights the substantial role of deep learning in advancing quantum machine learning.
arXiv Detail & Related papers (2024-01-20T03:11:59Z) - Interplay between the Hilbert-space dimension of the control system and the memory induced by quantum SWITCH [0.0]
We study the impact of increasing the Hilbert-space dimension of the control system on the performance of the quantum SWITCH.
We observe that increasing the Hilbert-space dimension of the control system leads to the corresponding enhancement of the non-Markovian memory induced by it.
arXiv Detail & Related papers (2023-12-18T20:12:16Z) - PT-symmetric quantum sensing: advantages and restrictions [3.543616009111265]
The debate on whether non-Hermitian systems are superior to Hermitian counterparts in sensing remains an open question.
It turns out that the existence of advantages of non-Hermitian quantum sensing heavily depends on additional information resources carried by the extra degrees of freedom introduced to construct PT-symmetric quantum sensors.
Our study provides theoretical references for the construction of non-Hermitian quantum sensors with superior performance and has potential applications in research fields of quantum precision measurement and quantum information processing.
arXiv Detail & Related papers (2023-12-13T04:29:41Z) - Localization Driven Quantum Sensing [0.0]
We show that the delocalization-localization transition in a quantum-many body (QMB) systems is a compelling quantum resource for achieving quantum-enhanced sensitivity in parameter estimation.
We exploit the vulnerability of a near-transition QMB state against the parameter shift for devising efficient sensing tools.
arXiv Detail & Related papers (2023-05-03T17:57:37Z) - Neural networks for Bayesian quantum many-body magnetometry [0.0]
Entangled quantum many-body systems can be used as sensors that enable the estimation of parameters with a precision larger than that achievable with ensembles of individual quantum detectors.
This entails a complexity that can hinder the applicability of Bayesian inference techniques.
We show how to circumvent these issues by using neural networks that faithfully reproduce the dynamics of quantum many-body sensors.
arXiv Detail & Related papers (2022-12-22T22:13:49Z) - Potential and limitations of quantum extreme learning machines [55.41644538483948]
We present a framework to model QRCs and QELMs, showing that they can be concisely described via single effective measurements.
Our analysis paves the way to a more thorough understanding of the capabilities and limitations of both QELMs and QRCs.
arXiv Detail & Related papers (2022-10-03T09:32:28Z) - Efficient criteria of quantumness for a large system of qubits [58.720142291102135]
We discuss the dimensionless combinations of basic parameters of large, partially quantum coherent systems.
Based on analytical and numerical calculations, we suggest one such number for a system of qubits undergoing adiabatic evolution.
arXiv Detail & Related papers (2021-08-30T23:50:05Z) - 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) - Entanglement transfer, accumulation and retrieval via quantum-walk-based
qubit-qudit dynamics [50.591267188664666]
Generation and control of quantum correlations in high-dimensional systems is a major challenge in the present landscape of quantum technologies.
We propose a protocol that is able to attain entangled states of $d$-dimensional systems through a quantum-walk-based it transfer & accumulate mechanism.
In particular, we illustrate a possible photonic implementation where the information is encoded in the orbital angular momentum and polarization degrees of freedom of single photons.
arXiv Detail & Related papers (2020-10-14T14:33:34Z)
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.