Quantum sensing with tunable superconducting qubits: optimization and speed-up

• URL: http://arxiv.org/abs/2211.08344v4
• Date: Mon, 4 Mar 2024 21:14:06 GMT
• Title: Quantum sensing with tunable superconducting qubits: optimization and speed-up
• Authors: Sergey Danilin, Nicholas Nugent, Martin Weides
• Abstract summary: Sensors are used in applications across a diverse range of fields including gravity imaging, geology, navigation, security, timekeeping, spectroscopy, chemistry, magnetometry, healthcare, and medicine. Current progress in quantum technologies has inevitably triggered the exploration of the use of quantum systems as sensors with new and improved capabilities. This article describes the optimization of the quantum-enhanced sensing of external magnetic flux with a Kitaev phase estimation algorithm based on a sensor with transmon qubits.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Sensing and metrology play an important role in fundamental science and applications by fulfilling the ever-present need for more precise data sets and by allowing researchers to make more reliable conclusions on the validity of theoretical models. Sensors are ubiquitous. They are used in applications across a diverse range of fields including gravity imaging, geology, navigation, security, timekeeping, spectroscopy, chemistry, magnetometry, healthcare, and medicine. Current progress in quantum technologies has inevitably triggered the exploration of the use of quantum systems as sensors with new and improved capabilities. This article describes the optimization of the quantum-enhanced sensing of external magnetic fluxes with a Kitaev phase estimation algorithm based on a sensor with tunable transmon qubits. It provides the optimal flux biasing point for sensors with different maximal qubit transition frequencies. An estimation of decoherence rates is made for a given design. The use of $2-$ and $3-$qubit entangled states for sensing are compared in simulation with the single qubit case. The flux sensing accuracy reaches $10^{-8}\cdot\Phi_0$ and scales with time as $\sim\ 1/t$ which proves the speed-up of sensing with high ultimate accuracy.

Related papers

• Review: Quantum Metrology and Sensing with Many-Body Systems [0.0]
  An alternative framework for quantum sensing has been developed exploiting quantum many-body systems. Many-body probes have been used in both equilibrium and non-equilibrium scenarios. In non-equilibrium scenarios, quantum enhanced sensitivity has been discovered for Floquet, dissipative, and time crystal phase transitions.
  arXiv  Detail & Related papers  (2024-08-27T18:00:01Z)
• Utilizing probabilistic entanglement between sensors in quantum networks [8.59730790789283]
  One of the most promising applications of quantum networks is entanglement assisted sensing. This work outlines when and how to use entanglement, when to store it, and when it needs to be distilled.
  arXiv  Detail & Related papers  (2024-07-22T14:12:30Z)
• Optical Quantum Sensing for Agnostic Environments via Deep Learning [59.088205627308]
  We introduce an innovative Deep Learning-based Quantum Sensing scheme. It enables optical quantum sensors to attain Heisenberg limit (HL) in agnostic environments. Our findings offer a new lens through which to accelerate optical quantum sensing tasks.
  arXiv  Detail & Related papers  (2023-11-13T09:46:05Z)
• Design and simulation of a transmon qubit chip for Axion detection [103.69390312201169]
  Device based on superconducting qubits has been successfully applied in detecting few-GHz single photons via Quantum Non-Demolition measurement (QND) In this study, we present Qub-IT's status towards the realization of its first superconducting qubit device.
  arXiv  Detail & Related papers  (2023-10-08T17:11:42Z)
• Optimal and Variational Multi-Parameter Quantum Metrology and Vector Field Sensing [0.0]
  We study multi- parameter sensing of 2D and 3D vector fields within the Bayesian framework for $SU(2)$ quantum interferometry. We present sensors that have limited entanglement capabilities, and yet, significantly outperform sensors that operate without entanglement.
  arXiv  Detail & Related papers  (2023-02-15T17:12:38Z)
• Environmental Sensor Placement with Convolutional Gaussian Neural Processes [65.13973319334625]
  It is challenging to place sensors in a way that maximises the informativeness of their measurements, particularly in remote regions like Antarctica. Probabilistic machine learning models can suggest informative sensor placements by finding sites that maximally reduce prediction uncertainty. This paper proposes using a convolutional Gaussian neural process (ConvGNP) to address these issues.
  arXiv  Detail & Related papers  (2022-11-18T17:25:14Z)
• First design of a superconducting qubit for the QUB-IT experiment [50.591267188664666]
  The goal of the QUB-IT project is to realize an itinerant single-photon counter exploiting Quantum Non Demolition (QND) measurements and entangled qubits. We present the design and simulation of the first superconducting device consisting of a transmon qubit coupled to a resonator using Qiskit-Metal.
  arXiv  Detail & Related papers  (2022-07-18T07:05:10Z)
• DC Quantum Magnetometry Below the Ramsey Limit [68.8204255655161]
  We demonstrate quantum sensing of dc magnetic fields that exceeds the sensitivity of conventional $Tast$-limited dc magnetometry by more than an order of magnitude. We used nitrogen-vacancy centers in a diamond rotating at periods comparable to the spin coherence time, and characterize the dependence of magnetic sensitivity on measurement time and rotation speed.
  arXiv  Detail & Related papers  (2022-03-27T07:32:53Z)
• Quantum speedup for track reconstruction in particle accelerators [51.00143435208596]
  We identify four fundamental routines present in every local tracking method and analyse how they scale in the context of a standard tracking algorithm. Although the found quantum speedups are mild, this constitutes to the best of our knowledge, the first rigorous evidence of a quantum advantage for a high-energy physics data processing task.
  arXiv  Detail & Related papers  (2021-04-23T13:32:14Z)
• Quantum sensing with superconducting circuits [0.0]
  Sensors are ubiquitous, they are used in applications across a diverse range of fields including gravity imaging, geology, navigation, security, timekeeping, spectroscopy, chemistry, magnetometry, healthcare, and medicine. Current progress in quantum technologies inevitably triggers the exploration of quantum systems to be used as sensors with new and improved capabilities.
  arXiv  Detail & Related papers  (2021-03-19T21:01:10Z)
• Quantum Sensing of Intermittent Stochastic Signals [0.0]
  We investigate how the number of sensors and fidelity affect sensitivity to continuous and intermittent signals. We find that increasing the number of sensors by $1/F2$ for $F1$ always recovers the sensitivity achieved when $F=1$. We also demonstrate the importance of near-unity control fidelity and readout at the quantum projection noise limit.
  arXiv  Detail & Related papers  (2020-10-07T22:25:18Z)

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.