Quantum-Classical Boundary Engineering in Weak-to-Strong Measurements via Squeezed Vacua

• URL: http://arxiv.org/abs/2507.21548v1
• Date: Tue, 29 Jul 2025 07:22:36 GMT
• Title: Quantum-Classical Boundary Engineering in Weak-to-Strong Measurements via Squeezed Vacua
• Abstract summary: This study establishes a post-selected von Neumann framework to regulate non-classical features of single-photon-subtracted squeezed vacuum states.<n>Phase-space analysis via the Husimi Kano Q function reveals a critical transition: as coupling strength increases, SPSSV and TMSV states evolve from quantum non-Gaussianity to classical single-peak separability.
• Score: 0.19662978733004596
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: This study establishes a post-selected von Neumann framework to regulate non-classical features of single-photon-subtracted squeezed vacuum (SPSSV) and two-mode squeezed vacuum (TMSV) states during weak-to-strong measurement transitions. By synergizing Wigner-Yanase skew information, Amplitude Squared (AS) squeezing, sum squeezing, and photon statistics, we demonstrate weak value amplification as a unified control mechanism for quantum properties. Phase-space analysis via the Husimi Kano Q function reveals a critical transition: as coupling strength increases, SPSSV and TMSV states evolve from quantum non-Gaussianity to classical single-peak separability, marking a quantum-classical boundary crossing. This critical point is validated as the optimal threshold for noise suppression and signal enhancement in quantum metrology. The work provides a tunable platform for quantum sensing and weak-signal detection technologies.

Related papers

• A Novel Hybrid Quantum Reservoir Computing (nHQRC) for Phase Transition Detection in Non-Equilibrium Dynamical Systems [0.0]
  We propose a novel Hybrid Quantum Reservoir Computing (nHQRC) framework for quantum analysis.<n>We show that the framework significantly improves systemic drift-to-diffusion efficiency ($$) and actively arrests maximum trajectory decay (MTD) by over 13%.<n>This establishes a robust, $mathcalO(1)$ temporal overhead blueprint for near-term quantum regime detection and subsystem stabilization.
  arXiv  Detail & Related papers  (2026-07-09T19:22:30Z)
• Continual Quantum Architecture Search with Tensor-Train Encoding: Theory and Applications to Signal Processing [68.35481158940401]
  CL-QAS is a continual quantum architecture search framework.<n>It mitigates challenges of costly encoding amplitude and forgetting in variational quantum circuits.<n>It achieves controllable robustness expressivity, sample-efficient generalization, and smooth convergence without barren plateaus.
  arXiv  Detail & Related papers  (2026-01-10T02:36:03Z)
• Experimental realization of quantum Zeno dynamics for robust quantum metrology [9.842826080772468]
  Quantum Zeno dynamics (QZD) provides a promising approach for protecting quantum information from noise.<n>We introduce strong inter-particle interactions during the parameter encoding stage.<n>We experimentally validate the proposed scheme on a nuclear magnetic resonance platform.
  arXiv  Detail & Related papers  (2026-01-05T10:43:59Z)
• Physics Informed Generative Machine Learning for Accelerated Quantum-centric Supercomputing [0.46906883107634084]
  PIGen-SQD is an efficiently designed quantum supercomputing (QCSC) workflow that utilizes the capability of generative machine learning (ML)<n> PIGen-SQD advances the robustness and scalability of QCSC algorithms, offering a promising pathway toward chemically reliable quantum simulations on utility-scale quantum hardware.
  arXiv  Detail & Related papers  (2025-12-07T14:27:12Z)
• Enhancing Non-classical Properties of Entangled Coherent States via Post-Selected von Neumann Measurements [0.0]
  We theoretically analyze the post-selected weak measurement process, and its effectiveness in amplifying the non-classical features ofECSs.<n>We establish a tunable weak measurement framework for precise manipulation of continuous-variable entangled states.
  arXiv  Detail & Related papers  (2025-11-18T03:10:02Z)
• Towards Quantum Enhanced Adversarial Robustness with Rydberg Reservoir Learning [45.92935470813908]
  Quantum computing reservoir (QRC) leverages the high-dimensional, nonlinear dynamics inherent in quantum many-body systems.<n>Recent studies indicate that perturbation quantums based on variational circuits remain susceptible to adversarials.<n>We investigate the first systematic evaluation of adversarial robustness in a QR based learning model.
  arXiv  Detail & Related papers  (2025-10-15T12:17:23Z)
• TensoMeta-VQC: A Tensor-Train-Guided Meta-Learning Framework for Robust and Scalable Variational Quantum Computing [60.996803677584424]
  TensoMeta-VQC is a novel tensor-train (TT)-guided meta-learning framework designed to improve the robustness and scalability of VQC significantly.<n>Our framework fully delegates the generation of quantum circuit parameters to a classical TT network, effectively decoupling optimization from quantum hardware.
  arXiv  Detail & Related papers  (2025-08-01T23:37:55Z)
• Protected quantum gates using qubit doublons in dynamical optical lattices [0.3387808070669509]
  We show a purely geometric two-qubit swap gate by transiently populating qubit doublon states of fermionic atoms in a dynamical optical lattice.<n>The presence of these doublon states, together with fermionic exchange anti-symmetry, enables a two-particle quantum holonomy.<n>This work introduces a new paradigm for quantum logic, transforming fundamental symmetries and quantum statistics into a powerful resource for fault-tolerant computation.
  arXiv  Detail & Related papers  (2025-07-29T18:00:00Z)
• Calibration of Quantum Devices via Robust Statistical Methods [45.464983015777314]
  We numerically analyze advanced statistical methods for Bayesian inference against the state-of-the-art in quantum parameter learning.<n>We show advantages of these approaches over existing ones, namely under multi-modality and high dimensionality.<n>Our findings have applications in challenging quantumcharacterization tasks namely learning the dynamics of open quantum systems.
  arXiv  Detail & Related papers  (2025-07-09T15:22:17Z)
• Crosstalk-Resilient Quantum MIMO for Scalable Quantum Communications [40.44880302154388]
  Crosstalk arises when physically coupled quantum modes interfere, degrading signal fidelity.<n>We propose a mitigation strategy based on encoding discrete-variable quantum information into continuous-variable modes.<n>We prove the existence of a gauge-fixing decoder enabling recovery of the logical information.
  arXiv  Detail & Related papers  (2025-06-26T18:40:26Z)
• Quantum sensing of displacements with stabilized GKP states [41.94295877935867]
  We show how protocols for the stabilization of Gottesman-Kitaev-Preskill states can be used for the estimation of two-quadrature displacement sensing.<n>Thanks to the stabilization, this sensor is backaction evading and can function continuously without reset, making it well suited for the detection of itinerant signals.
  arXiv  Detail & Related papers  (2025-06-25T17:18:50Z)
• Simulating the Antiferromagnetic Heisenberg Model on a Spin-Frustrated Kagome Lattice with the Contextual Subspace Variational Quantum Eigensolver [0.06990493129893112]
  We study the antiferromagnetic Heisenberg model on a Kagome lattice, a geometrically frustrated structure that gives rise to a highly degenerate energy spectrum.<n>To successfully simulate this system, we employ a qubit reduction strategy leveraging the Contextual Subspace methodology.<n>We adopt a hybrid quantum error mitigation strategy combining Readout Error Mitigation (REM), Symmetry Verification (SV) and Zero Noise Extrapolation (ZNE)
  arXiv  Detail & Related papers  (2025-06-14T08:01:34Z)
• Improved Ground State Estimation in Quantum Field Theories via Normalising Flow-Assisted Neural Quantum States [0.0]
  We propose a hybrid variational framework that enhances Neural Quantum States (NQS) with a Normalising Flow-based sampler.<n>Our approach decouples the sampling task from the variational ansatz by learning a continuous flow model that targets a discretised, amplitude-supported subspace of the Hilbert space.
  arXiv  Detail & Related papers  (2025-06-13T18:00:01Z)
• VQC-MLPNet: An Unconventional Hybrid Quantum-Classical Architecture for Scalable and Robust Quantum Machine Learning [60.996803677584424]
  Variational Quantum Circuits (VQCs) offer a novel pathway for quantum machine learning.<n>Their practical application is hindered by inherent limitations such as constrained linear expressivity, optimization challenges, and acute sensitivity to quantum hardware noise.<n>This work introduces VQC-MLPNet, a scalable and robust hybrid quantum-classical architecture designed to overcome these obstacles.
  arXiv  Detail & Related papers  (2025-06-12T01:38:15Z)
• Robust Simulations of Many-Body Symmetry-Protected Topological Phase Transitions on a Quantum Processor [7.515748475237134]
  Topology and symmetry play critical roles in characterizing quantum phases of matter.<n>Recent advancements have unveiled symmetry-protected topological (SPT) phases in many-body systems.<n>We demonstrate the robust simulation of many-body ground states of an Ising-cluster model on a quantum computer.
  arXiv  Detail & Related papers  (2025-03-11T18:00:02Z)
• Quantum Metrology via Floquet-Engineered Two-axis Twisting and Turn Dynamics [1.6373458286954379]
  We utilize the Floquet-engineered two-axis twisting (TAT) and turn dynamics to generate GHZ-like states for quantum metrology.<n>Using both analytical semi-classical and quantum approaches, we find that the desired $N$-particle GHZ-like state can be produced in a remarkably short time.
  arXiv  Detail & Related papers  (2024-09-13T04:12:12Z)
• Quantum sensing in Kerr parametric oscillators [0.0]
  We show how the analysis of the phase space structure of the classical limit of Kerr parametric oscillators can be used for determining control parameters. We also explore how quantum sensing can benefit from excited-state quantum phase transitions, even in the absence of a conventional quantum phase transition.
  arXiv  Detail & Related papers  (2024-07-19T18:00:00Z)
• Thermalization and Criticality on an Analog-Digital Quantum Simulator [133.58336306417294]
  We present a quantum simulator comprising 69 superconducting qubits which supports both universal quantum gates and high-fidelity analog evolution. We observe signatures of the classical Kosterlitz-Thouless phase transition, as well as strong deviations from Kibble-Zurek scaling predictions. We digitally prepare the system in pairwise-entangled dimer states and image the transport of energy and vorticity during thermalization.
  arXiv  Detail & Related papers  (2024-05-27T17:40:39Z)
• Harnessing high-dimensional temporal entanglement using limited interferometric setups [41.94295877935867]
  We develop the first complete analysis of high-dimensional entanglement in the polarization-time-domain. We show how to efficiently certify relevant density matrix elements and security parameters for Quantum Key Distribution. We propose a novel setup that can further enhance the noise resistance of free-space quantum communication.
  arXiv  Detail & Related papers  (2023-08-08T17:44:43Z)
• Universality of critical dynamics with finite entanglement [68.8204255655161]
  We study how low-energy dynamics of quantum systems near criticality are modified by finite entanglement. Our result establishes the precise role played by entanglement in time-dependent critical phenomena.
  arXiv  Detail & Related papers  (2023-01-23T19:23:54Z)
• Protecting the quantum interference of cat states by phase-space compression [45.82374977939355]
  Cat states with their unique phase-space interference properties are ideal candidates for understanding quantum mechanics. They are highly susceptible to photon loss, which inevitably diminishes their quantum non-Gaussian features. Here, we protect these non-Gaussian features by compressing the phase-space distribution of a cat state.
  arXiv  Detail & Related papers  (2022-12-02T16:06:40Z)
• Suppressing Amplitude Damping in Trapped Ions: Discrete Weak Measurements for a Non-unitary Probabilistic Noise Filter [62.997667081978825]
  We introduce a low-overhead protocol to reverse this degradation. We present two trapped-ion schemes for the implementation of a non-unitary probabilistic filter against amplitude damping noise. This filter can be understood as a protocol for single-copy quasi-distillation.
  arXiv  Detail & Related papers  (2022-09-06T18:18:41Z)

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.