Quantum sensors that compute: quantum computational magnetic-field sensing using a superconducting qubit

• URL: http://arxiv.org/abs/2608.17400v1
• Date: Tue, 18 Aug 2026 05:54:38 GMT
• Title: Quantum sensors that compute: quantum computational magnetic-field sensing using a superconducting qubit
• Abstract summary: A measurement of a single-qubit quantum sensor reveals at most 1 bit of information about the signal that was sensed.<n>Quantum computational sensing (QCS) is an alternative approach that breaks with the paradigm of first obtaining a classical estimate of the signal.<n>QCS instead combines quantum sensing with quantum computing to concentrate information about the signal relevant to the task.
• Score: 1.8054284544800485
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: A measurement of a single-qubit quantum sensor reveals at most 1 bit of information about the signal that was sensed. To perform a classification task on the signal, the conventional approach is to repeat a sensing protocol many times, averaging the measurement results to obtain a high-precision estimate of the sensed signal, and then to apply classical postprocessing. Quantum computational sensing (QCS) is an alternative approach that breaks with the paradigm of first obtaining a classical estimate of the signal and then computing a function of the estimated signal in postprocessing. QCS instead combines quantum sensing with quantum computing to concentrate information about the signal relevant to the task into the solitary bit revealed by each measurement. Here, we report on the experimental demonstration of QCS where sensing and computing were both performed by the same single superconducting transmon qubit. We consider various binary classification tasks based on static and oscillating magnetic fields induced by current through a flux line. The fields were sensed through a double-junction superconducting quantum interference device (SQUID) loop that was part of the qubit. We used a protocol based on quantum signal processing to preprocess the sensed signals in the quantum domain prior to measurement. For tasks on static magnetic fields, our protocol outperformed the conventional baseline of Ramsey-based phase estimation by as much as 15 percentage points. For tasks on oscillating magnetic fields, we classified signal amplitude and frequency with up to 20 and 15 percentage points higher accuracy, respectively, compared to the conventional baseline of optimized dynamical-decoupling protocols. Our results illustrate how quantum computing can enhance quantum sensing even with a minimally sized quantum system subject to the practical limitations of decoherence and error-prone operations.

Related papers

• Quantum computational displacement sensing [1.286736195402366]
  Quantum computational sensing (QCS) combines quantum sensing with quantum computing to extract task-relevant information from the physical world.<n>We report the experimental demonstration of quantum computational displacement sensing with a superconducting circuit.<n>For certain tasks, our protocol achieves a 15-percentage-points higher classification accuracy than the best conventional approach considered.
  arXiv  Detail & Related papers  (2026-04-14T18:01:26Z)
• Performance limits of a quantum receiver for detecting phase-modulated communication signals [0.4369550829556577]
  We analyze the performance of a quantum-sensor-based receive chain for demodulating information encoded in electromagnetic waves.<n>We discuss modifications to the quantum protocol that enables high-fidelity data recovery even in the presence of sensor noise and channel distortions.
  arXiv  Detail & Related papers  (2026-02-06T19:01:03Z)
• Quantum computational sensing using quantum signal processing, quantum neural networks, and Hamiltonian engineering [1.3593246617391264]
  We show protocols for performing nonlinear tasks using Hamiltonian-engineered bosonic systems and quantum signal processing with hybrid qubit-bosonic systems.<n>We have shown that substantial quantum computational-sensing advantages can be obtained even if the quantum system is small.
  arXiv  Detail & Related papers  (2025-07-21T17:53:15Z)
• Quantum Computing Enhanced Sensing [0.6407952035735351]
  We present a quantum computing enhanced sensing protocol that outperforms all existing approaches.<n>The key idea is to robustly digitize the continuous, analog signal into a discrete operation, which is then integrated into a quantum algorithm.<n>This work establishes quantum computation as a powerful new resource for advancing sensing capabilities.
  arXiv  Detail & Related papers  (2025-01-13T19:00:00Z)
• Efficient Learning for Linear Properties of Bounded-Gate Quantum Circuits [62.46800898243033]
  Recent progress in quantum learning theory prompts a question: can linear properties of a large-qubit circuit be efficiently learned from measurement data generated by varying classical inputs?<n>We prove that the sample complexity scaling linearly in $d$ is required to achieve a small prediction error, while the corresponding computational complexity may scale exponentially in d.<n>We propose a kernel-based method leveraging classical shadows and truncated trigonometric expansions, enabling a controllable trade-off between prediction accuracy and computational overhead.
  arXiv  Detail & Related papers  (2024-08-22T08:21:28Z)
• Non-unitary Coupled Cluster Enabled by Mid-circuit Measurements on Quantum Computers [37.69303106863453]
  We propose a state preparation method based on coupled cluster (CC) theory, which is a pillar of quantum chemistry on classical computers. Our approach leads to a reduction of the classical computation overhead, and the number of CNOT and T gates by 28% and 57% on average.
  arXiv  Detail & Related papers  (2024-06-17T14:10:10Z)
• Mitigating Errors on Superconducting Quantum Processors through Fuzzy Clustering [38.02852247910155]
  A new Quantum Error Mitigation (QEM) technique uses Fuzzy C-Means clustering to specifically identify measurement error patterns. We report a proof-of-principle validation of the technique on a 2-qubit register, obtained as a subset of a real NISQ 5-qubit superconducting quantum processor. We demonstrate that the FCM-based QEM technique allows for reasonable improvement of the expectation values of single- and two-qubit gates based quantum circuits.
  arXiv  Detail & Related papers  (2024-02-02T14:02:45Z)
• Microwave signal processing using an analog quantum reservoir computer [5.236242306967409]
  We show how a superconducting circuit can be used as an analog quantum reservoir for a variety of classification tasks. Our work does not attempt to address the question of whether QRCs could provide a quantum computational advantage.
  arXiv  Detail & Related papers  (2023-12-26T18:54:36Z)
• Continuous dynamical decoupling of optical $^{171}$Yb$^{+}$ qudits with radiofrequency fields [45.04975285107723]
  We experimentally achieve a gain in the efficiency of realizing quantum algorithms with qudits. Our results are a step towards the realization of qudit-based algorithms using trapped ions.
  arXiv  Detail & Related papers  (2023-05-10T11:52:12Z)
• Anticipative measurements in hybrid quantum-classical computation [68.8204255655161]
  We present an approach where the quantum computation is supplemented by a classical result. Taking advantage of its anticipation also leads to a new type of quantum measurements, which we call anticipative. In an anticipative quantum measurement the combination of the results from classical and quantum computations happens only in the end.
  arXiv  Detail & Related papers  (2022-09-12T15:47:44Z)
• Interactive Protocols for Classically-Verifiable Quantum Advantage [46.093185827838035]
  "Interactions" between a prover and a verifier can bridge the gap between verifiability and implementation. We demonstrate the first implementation of an interactive quantum advantage protocol, using an ion trap quantum computer.
  arXiv  Detail & Related papers  (2021-12-09T19:00:00Z)
• Programming a quantum computer with quantum instructions [39.994876450026865]
  We use a density matrixiation protocol to execute quantum instructions on quantum data. A fixed sequence of classically-defined gates performs an operation that uniquely depends on an auxiliary quantum instruction state. The utilization of quantum instructions obviates the need for costly tomographic state reconstruction and recompilation.
  arXiv  Detail & Related papers  (2020-01-23T22:43:29Z)

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.