Harnessing graph state resources for robust quantum magnetometry under noise
- URL: http://arxiv.org/abs/2311.18225v2
- Date: Wed, 4 Sep 2024 02:39:46 GMT
- Title: Harnessing graph state resources for robust quantum magnetometry under noise
- Authors: Phu Trong Nguyen, Trung Kien Le, Hung Q. Nguyen, Le Bin Ho,
- Abstract summary: This study focuses on using symmetric graph state resources for quantum magnetometry to enhance measurement precision.
The results show a significant improvement in estimating both single and multiple Larmor frequencies.
- Score: 0.6999740786886537
- License: http://creativecommons.org/licenses/by-nc-sa/4.0/
- Abstract: Precise measurement of magnetic fields is essential for various applications, such as fundamental physics, space exploration, and biophysics. Although recent progress in quantum engineering has assisted in creating advanced quantum magnetometers, there are still ongoing challenges in improving their efficiency and noise resistance. This study focuses on using symmetric graph state resources for quantum magnetometry to enhance measurement precision by analyzing the estimation theory under time-homogeneous and time-inhomogeneous noise models. The results show a significant improvement in estimating both single and multiple Larmor frequencies. In single Larmor frequency estimation, the quantum Fisher information spans a spectrum from the standard quantum limit to the Heisenberg limit within a periodic range of the Larmor frequency, and in the case of multiple Larmor frequencies, it can exceed the standard quantum limit for both noisy cases. This study highlights the potential of graph state-based methods for improving magnetic field measurements under noisy environments.
Related papers
- Power Characterization of Noisy Quantum Kernels [52.47151453259434]
We show that noise may make quantum kernel methods to only have poor prediction capability, even when the generalization error is small.
We provide a crucial warning to employ noisy quantum kernel methods for quantum computation.
arXiv Detail & Related papers (2024-01-31T01:02:16Z) - Quantum error mitigation for Fourier moment computation [49.1574468325115]
This paper focuses on the computation of Fourier moments within the context of a nuclear effective field theory on superconducting quantum hardware.
The study integrates echo verification and noise renormalization into Hadamard tests using control reversal gates.
The analysis, conducted using noise models, reveals a significant reduction in noise strength by two orders of magnitude.
arXiv Detail & Related papers (2024-01-23T19:10:24Z) - Compressive quantum waveform estimation [1.61713407738194]
In this Manuscript, we demonstrate how careful choice of quantum measurements, along with the modern mathematics of compressive sensing, achieves quantum waveform estimation of sparse signals.
We sense synthesized neural-like magnetic signals with radiofrequency-dressed ultracold atoms, retrieving successful waveform estimates with as few measurements as compressive theoretical bounds.
arXiv Detail & Related papers (2023-10-24T08:53:49Z) - Quantum metrology in the noisy intermediate-scale quantum era [5.640610268831498]
Quantum metrology pursues the physical realization of higher-precision measurements to physical quantities.
It has potential applications in developing next-generation frequency standards, magnetometers, radar, and navigation.
However, the ubiquitous decoherence in the quantum world degrades the quantum resources and forces the precision back to or even worse than the classical limit.
arXiv Detail & Related papers (2023-07-15T04:05:47Z) - 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) - Measurement-induced entanglement and teleportation on a noisy quantum
processor [105.44548669906976]
We investigate measurement-induced quantum information phases on up to 70 superconducting qubits.
We use a duality mapping, to avoid mid-circuit measurement and access different manifestations of the underlying phases.
Our work demonstrates an approach to realize measurement-induced physics at scales that are at the limits of current NISQ processors.
arXiv Detail & Related papers (2023-03-08T18:41:53Z) - Frequency fluctuations of ferromagnetic resonances at milliKelvin
temperatures [50.591267188664666]
Noise is detrimental to device performance, especially for quantum coherent circuits.
Recent efforts have demonstrated routes to utilizing magnon systems for quantum technologies, which are based on single magnons to superconducting qubits.
Researching the temporal behavior can help to identify the underlying noise sources.
arXiv Detail & Related papers (2021-07-14T08:00:37Z) - Pushing the limits in real-time measurements of quantum dynamics [0.0]
We show that an evaluation scheme based on factorial cumulants can reduce the influence of such errors by orders of magnitude.
The error resilience is supported by a general theory for the detection errors as well as experimental data of single-electron tunnelling through a self-assembled quantum dot.
arXiv Detail & Related papers (2021-06-23T16:21:57Z) - Surpassing the Energy Resolution Limit with ferromagnetic torque sensors [55.41644538483948]
We evaluate the optimal magnetic field resolution taking into account the thermomechanical noise and the mechanical detection noise at the standard quantum limit.
We find that the Energy Resolution Limit (ERL), pointed out in recent literature, can be surpassed by many orders of magnitude.
arXiv Detail & Related papers (2021-04-29T15:44:12Z) - Many-body quantum lock-in amplifier [0.0]
We present a protocol for achieving an entanglement-enhanced lock-in amplifier.
By selecting suitable input states and readout operations, the frequency and amplitude of an unknown alternating field can be simultaneously extracted.
Our study may point out a new direction for measuring time-dependent signals with many-body quantum systems.
arXiv Detail & Related papers (2020-10-14T07:24:39Z)
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.