Data-driven synthesis of high-fidelity triaxial magnetic waveforms for quantum control

• URL: http://arxiv.org/abs/2603.24052v1
• Date: Wed, 25 Mar 2026 08:00:46 GMT
• Title: Data-driven synthesis of high-fidelity triaxial magnetic waveforms for quantum control
• Abstract summary: We present a system for generating arbitrary, triaxial magnetic waveforms spanning from DC to tens of kHz.<n>The work is validated with experimental results demonstrating waveform fidelity and transient performance.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We present a system for generating arbitrary, triaxial magnetic waveforms with a spectral content spanning from DC to tens of kHz, a critical capability for quantum control and spin manipulation. To compensate for amplifier-coil dynamics, we implement a data-driven approach to identify a numerical compensation model. The method parametrizes the system response using a Finite Impulse Response (FIR) filter calibrated on the specific waveform to be generated. The application of a driving signal designed via frequency-domain inversion of the identified model enables the synthesis of complex field sequences with sharp transitions between static and single- or multi-frequency temporal segments. The work is validated with experimental results demonstrating waveform fidelity and transient performance, thereby showcasing the precision and feasibility of the method.

Related papers

• Parameter Estimation of Ringdown Quasinormal Modes with Autoencoder [0.0]
  Ringdown gravitational waves from binary black hole mergers can be modeled as superpositions of quasinormal modes (QNMs)<n> Reliable extraction of multiple QNM components is challenging because of mode overlap and noise.<n>We develop an autoencoder-based framework for multi-component QNM analysis, in which the latent space is trained to represent the physical parameters of individual modes.
  arXiv  Detail & Related papers  (2026-09-13T04:25:02Z)
• Adaptive Real-Time Magnetic Field Tracking beyond Prior Waveform Constraints [15.485447642238553]
  We demonstrate a parameter-estimation framework based on the adaptive extended Kalman filter for dynamic magnetic-field estimation.<n>By modeling the magnetic field as an unknown parameter, the proposed approach alleviates model dependence in state estimation.<n>Our method overcomes the measurement noise intensity constraints of conventional extended Kalman filtering.
  arXiv  Detail & Related papers  (2026-05-18T03:03:58Z)
• Wideband Quantum Transduction for Rydberg Atomic Receivers Using Six-Wave Mixing [49.799227408938144]
  Rydberg atomic receivers hold extremely high sensitivity to electric fields.<n>Their effective 3-dB baseband bandwidth under conventional electromagnetically induced transparency (EIT) is typically constrained to tens to a few hundreds of kilohertz.<n>We investigate a six-wave mixing (SWM)-based Rydberg atomic receiver as a wideband radio frequency (RF)-to-optical quantum transducer.
  arXiv  Detail & Related papers  (2026-02-15T02:08:30Z)
• HergNet: a Fast Neural Surrogate Model for Sound Field Predictions via Superposition of Plane Waves [0.0]
  We present a novel neural network architecture for the efficient prediction of sound fields in two and three dimensions.<n>The network is designed to automatically satisfy the Helmholtz equation, ensuring that the outputs are physically valid.
  arXiv  Detail & Related papers  (2025-10-28T10:39:10Z)
• Pulse-based optimization of quantum many-body states with Rydberg atoms in optical tweezer arrays [39.58317527488534]
  We explore a pulse-based variational quantum eigensolver algorithm for Rydberg atoms in optical tweezer arrays.<n>We numerically demonstrate that the ground states of the one-dimensional antiferromagnetic Heisenberg model and the mixed-field Ising model can be accurately prepared.
  arXiv  Detail & Related papers  (2025-07-25T10:51:49Z)
• Quantum Wave Simulation with Sources and Loss Functions [0.0]
  We present a quantum algorithmic framework for simulating linear, anti-Hermitian (lossless) wave equations in heterogeneous media.<n>Our framework is compatible with standard numerical discretization schemes.<n>We show that subspace energies can be extracted and wave fields compared through an $l$ loss function.
  arXiv  Detail & Related papers  (2024-11-26T17:42:55Z)
• Energy control in a quantum oscillator using coherent control and engineered environment [83.88591755871734]
  We develop and analyze a new method for manipulation of energy in a quantum harmonic oscillator using coherent, electromagnetic, field and incoherent control. An approach to coherent and incoherent controls design based on the speed gradient algorithms is proposed. A robustified speed-gradient control algorithm in differential form is also proposed.
  arXiv  Detail & Related papers  (2024-03-25T20:44:46Z)
• Neural Wavelet-domain Diffusion for 3D Shape Generation, Inversion, and Manipulation [54.09274684734721]
  We present a new approach for 3D shape generation, inversion, and manipulation, through a direct generative modeling on a continuous implicit representation in wavelet domain. Specifically, we propose a compact wavelet representation with a pair of coarse and detail coefficient volumes to implicitly represent 3D shapes via truncated signed distance functions and multi-scale biorthogonal wavelets. We may jointly train an encoder network to learn a latent space for inverting shapes, allowing us to enable a rich variety of whole-shape and region-aware shape manipulations.
  arXiv  Detail & Related papers  (2023-02-01T02:47:53Z)
• Extended method for Statistical Signal Characterization using moments and cumulants: Application to recognition of pattern alterations in pulse-like waveforms employing Artificial Neural Networks [0.0]
  We propose a statistical procedure to characterize and extract features from a waveform that can be applied as a pre-processing signal stage. The proposed extended statistical signal characterization method is an effective tool for pattern-recognition applications.
  arXiv  Detail & Related papers  (2022-12-23T05:05:47Z)
• Digital noise spectroscopy with a quantum sensor [57.53000001488777]
  We introduce and experimentally demonstrate a quantum sensing protocol to sample and reconstruct the auto-correlation of a noise process. Walsh noise spectroscopy method exploits simple sequences of spin-flip pulses to generate a complete basis of digital filters. We experimentally reconstruct the auto-correlation function of the effective magnetic field produced by the nuclear-spin bath on the electronic spin of a single nitrogen-vacancy center in diamond.
  arXiv  Detail & Related papers  (2022-12-19T02:19:35Z)
• Interaction of quantum systems with single pulses of quantized radiation [68.8204255655161]
  We describe the interaction of a propagating pulse of quantum radiation with a localized quantum system. By transformation to an appropriate picture, we identify the usual Jaynes-Cummings Hamiltonian between the scatterer and a superposition of the initial and final mode. The transformed master equation offers important insights into the system dynamics and it permits numerically efficient solutions.
  arXiv  Detail & Related papers  (2022-03-14T20:23:23Z)
• Rotating Majorana Zero Modes in a disk geometry [75.34254292381189]
  We study the manipulation of Majorana zero modes in a thin disk made from a $p$-wave superconductor. We analyze the second-order topological corner modes that arise when an in-plane magnetic field is applied. We show that oscillations persist even in the adiabatic phase because of a frequency independent coupling between zero modes and excited states.
  arXiv  Detail & Related papers  (2021-09-08T11:18:50Z)
• A quantum model for rf-SQUIDs based metamaterials enabling 3WM and 4WM Travelling Wave Parametric Amplification [0.0]
  The model exploits a Hamiltonian approach to analytically determine the time evolution of the system. The dependence of the metamaterial's nonlinearities is presented in terms of circuit parameters in a lumped model framework.
  arXiv  Detail & Related papers  (2020-09-02T12:38:18Z)

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.