Sequential Measurements as a Resource for Quantum Metrology

• URL: http://arxiv.org/abs/2605.00287v1
• Date: Thu, 30 Apr 2026 23:06:39 GMT
• Title: Sequential Measurements as a Resource for Quantum Metrology
• Abstract summary: We present a protocol in which sequential weak measurements of a quantum harmonic oscillator enable simultaneous estimation of both quadratures of a displacement channel.<n>We find that post-processing can be used to avoid information loss due to phase wrapping, increasing the effective dynamic range.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: We present a protocol in which sequential weak measurements of a quantum harmonic oscillator enable simultaneous estimation of both quadratures of a displacement channel. Calculations of the quantum Fisher information show that the measurement backaction can increase the information gained for a range of measurement strengths. The protocol distributes information over a $N$-bit string after $N$ weak measurements. Thus we find that post-processing can be used to avoid information loss due to phase wrapping, increasing the effective dynamic range. Finally, the periodic information extraction makes the protocol robust to decoherence. Our results establish mid-sensing measurement as a resource for single- and multi-parameter quantum metrology.

Related papers

• Generative Learning for Quantum Measurement Design [6.369916221264284]
  FlowMeas learns qubit-wise commuting measurement schedules and improves leading product-measurement methods on nearly all molecular benchmarks.<n>We extend the framework to a compactly encoded 54-qubit interacting fermionic model.<n>These results establish generative learning as a flexible and unified framework for quantum measurement design under practical resource constraints.
  arXiv  Detail & Related papers  (2026-08-11T20:02:41Z)
• Information-Scrambling-Enhanced Quantum Sensing Beyond the Standard Quantum Limit [24.972499920814034]
  We experimentally demonstrate a scalable, scrambling-enhanced quantum sensing protocol, implemented on a cross-shaped superconducting quantum processor.<n>By harnessing quantum information scrambling, the protocol converts local interactions into delocalized metrologically useful correlations, enabling robust signal amplification.<n>This work demonstrates a readily scalable path toward practical quantum sensing advantages with prevalent experimental platforms.
  arXiv  Detail & Related papers  (2025-12-24T13:05:34Z)
• Optimal Allocation of Pauli Measurements for Low-rank Quantum State Tomography [26.844092519401617]
  A key challenge of quantum state tomography (QST) is to find out how the accuracy of the reconstruction depends on the number of state copies used in the measurements. We establish a theoretical understanding of the trade-off between the number of measurement settings and the number of repeated measurements per setting in QST.
  arXiv  Detail & Related papers  (2024-11-07T05:59:04Z)
• Harnessing quantum back-action for time-series processing [0.0]
  We demonstrate that incorporating indirect measurements into a quantum machine-learning protocol provides advantages in both execution time scaling and overall performance.<n>Our results reveal that carefully optimizing both the reservoir Hamiltonian parameters and the measurement strength can significantly improve the quantum reservoir computing algorithm performance.
  arXiv  Detail & Related papers  (2024-11-06T15:15:04Z)
• Recovery of resources through sequential noisy measurements [0.22499166814992438]
  We show that sequential applications of noisy measurements can mitigate the adverse impact of noise on quantum information processing tasks.<n>We demonstrate this in the case of concentrating entanglement on chosen nodes in quantum networks via noisy measurements performed by assisting qubits.
  arXiv  Detail & Related papers  (2024-06-11T18:46:27Z)
• Effect of the readout efficiency of quantum measurement on the system entanglement [44.99833362998488]
  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)
• Quantum Computation by Spin Parity Measurements with Encoded Spin Qubits [0.0]
  Joint measurements of two-Pauli observables are a powerful tool for the control and protection of quantum information. This language for measurement based quantum computing is shown to be directly applicable to encoded double quantum dot singlet-triplet spin qubits.
  arXiv  Detail & Related papers  (2023-05-16T18:01:18Z)
• Tight One-Shot Analysis for Convex Splitting with Applications in Quantum Information Theory [23.18400586573435]
  We establish a one-shot error exponent and a one-shot strong converse for convex splitting with trace distance as an error criterion. This leads to new one-shot exponent results in various tasks such as communication over quantum wiretap channels, secret key distillation, one-way quantum message compression, quantum measurement simulation, and quantum channel coding with side information at the transmitter.
  arXiv  Detail & Related papers  (2023-04-24T12:47:37Z)
• Evolution of many-body systems under ancilla quantum measurements [58.720142291102135]
  We study the concept of implementing quantum measurements by coupling a many-body lattice system to an ancillary degree of freedom. We find evidence of a disentangling-entangling measurement-induced transition as was previously observed in more abstract models.
  arXiv  Detail & Related papers  (2023-03-13T13:06:40Z)
• 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)
• Dispersive qubit readout with machine learning [0.08399688944263842]
  Open quantum systems can undergo dissipative phase transitions, and their critical behavior can be exploited in sensing applications. A recently introduced measurement protocol uses the parametric (two-photon driven) Kerr resonator's driven-dissipative phase transition to reach single-qubit detection fidelity of 99.9%. We use machine learning-based classification algorithms to extract information from this critical dynamics.
  arXiv  Detail & Related papers  (2021-12-10T04:25:43Z)

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.