Quantum Steering and Entanglement in a Tritter: Hierarchy under Loss
- URL: http://arxiv.org/abs/2602.07788v1
- Date: Sun, 08 Feb 2026 03:03:16 GMT
- Title: Quantum Steering and Entanglement in a Tritter: Hierarchy under Loss
- Abstract summary: We study the correlation hierarchy in a tripartite state engineered by mixing a two-mode squeezed vacuum with a coherent state on a tritter.<n>We analyze the entanglement and Einstein-Podolsky-Rosen steering among the output modes.
- Score: 0.10874100424278171
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Multipartite entangled states of continuous variables are fundamental resources for scalable quantum information processing. We study the correlation hierarchy in a tripartite state engineered by mixing a two-mode squeezed vacuum with a coherent state on a tritter, a key linear optical element for multimode state generation. Using the covariance matrix formalism, we comprehensively analyze the entanglement and Einstein-Podolsky-Rosen (EPR) steering among the output modes. The strength of both correlations is governed solely by the squeezing parameter and is independent of the coherent amplitude. We further examine the impact of inevitable optical losses in various channel configurations. The results show that while losses degrade correlations, EPR steering remains monogamous and exhibits stricter resilience thresholds than entanglement. Our analysis, supported by parameter extension techniques, confirms that the steering condition is more stringent than the inseparability criterion, clearly demonstrating that steering forms a strict subset of entanglement. These results elucidate the correlation structure in a readily generated multimode state and offer practical insights for developing asymmetric quantum protocols, such as one-sided device-independent tasks, where EPR steering serves as a critical resource.
Related papers
- Closing the Loop: PID Feedback Control for Interpretable Activation Steering in Symbolic Music Generation [6.897804369133787]
This paper investigates the mechanistic interpretability of the Multitrack Music Transformer (MMT)<n>We propose a framework for deterministic attribute modulation without retraining to bridge this gap via inference-time activation steering.
arXiv Detail & Related papers (2026-06-17T08:04:13Z) - High-dimensional coherence to entanglement transduction under canonical noise [0.9051352746190449]
We develop an analytical framework for coherence-to-entanglement conversion in high-dimensional quantum systems.<n>We study how this conversion is affected by three standard noise processes applied after the conversion step.
arXiv Detail & Related papers (2026-06-15T13:31:08Z) - Latent Space Disentanglement via Activation Steering for Interpretable Attribute Control in Symbolic Music Generation [6.897804369133787]
This paper investigates the mechanistic interpretability of the Multitrack Music Transformer (MMT)<n>We propose a framework for deterministic attribute modulation without retraining to bridge this gap via inference-time activation steering.
arXiv Detail & Related papers (2026-05-29T13:31:56Z) - PC-MNet: Dual-Level Congruity Modeling for Multimodal Sarcasm Detection via Polarity-Modulated Attention [32.62063298936575]
This work provides a robust, decoupled paradigm for modeling subtle pragmatic incongruities in human communication.<n>Experiments on the textttMUStARD benchmark and its spurious-correlation-mitigated balanced datasets demonstrate that our approach achieves new state-of-the-art performance.
arXiv Detail & Related papers (2026-05-04T10:47:17Z) - Better with Less: Tackling Heterogeneous Multi-Modal Image Joint Pretraining via Conditioned and Degraded Masked Autoencoder [34.73963627819185]
High-resolution (HR) joint optical and synthetic aperture radar (SAR) pretraining seeks modality synergy to mutually enhance single-source representations.<n>We propose CoDe-MAE, pioneering a textitbetter synergy with less alignment philosophy.<n>CoDe-MAE successfully prevents representation degradation and establishes new state-of-the-art performance across diverse single- and bi-modal downstream tasks.
arXiv Detail & Related papers (2026-04-18T10:23:00Z) - Beyond the Quantum Regression Theorem in Variational Polaron Master Equations with Low-Dimensional Baths [0.0]
The quantum regression theorem (QRT) is the standard tool for computing multi-time correlation functions in open quantum systems.<n>We derive an extension to the QRT that explicitly incorporates correlation-induced corrections.<n>Our approach broadens the reach of analytic master equations to strong-coupling regimes.
arXiv Detail & Related papers (2026-04-15T06:44:37Z) - How Independent are Large Language Models? A Statistical Framework for Auditing Behavioral Entanglement and Reweighting Verifier Ensembles [46.63622714488747]
Shared pretraining data, distillation, and alignment pipelines can induce hidden behavioral dependencies, latent entanglement.<n>In practice, this manifests as correlated reasoning patterns and synchronized failures.<n>We develop a statistical framework for auditing behavioral entanglement among black-box language models.
arXiv Detail & Related papers (2026-04-08T23:32:06Z) - The Procrustean Bed of Time Series: The Optimization Bias of Point-wise Loss [53.542743390809356]
This paper aims to provide a first-principles analysis of the Expectation of Optimization Bias (EOB)<n>Our analysis reveals a fundamental paradigm paradox: the more deterministic and structured the time series, the more severe the bias by point-wise loss function.<n>We present a concrete solution that simultaneously achieves both principles via DFT or DWT.
arXiv Detail & Related papers (2025-12-21T06:08:22Z) - Robust Causal Directionality Inference in Quantum Inference under MNAR Observation and High-Dimensional Noise [0.0]
In quantum mechanics, observation actively shapes the system, paralleling the statistical notion of Missing Not At Random (MNAR)<n>This study introduces a unified framework for causal directionality inference in quantum engineering.
arXiv Detail & Related papers (2025-12-18T05:26:25Z) - Parametric resonant enhancement of motional entanglement under optimal control: an analytical study [45.88028371034407]
We study theoretically continuous-variable entanglement between the motional degrees of freedom of optically trapped massive particles coupled via the Coulomb interaction.<n>We perform a detailed analysis of the parametric resonance induced by temporal modulation of the coupling strength, based on the system's coupled nonlinear, nonhomogeneous dynamical equations.<n>We demonstrate that a stationary nonequilibrium entangled state is realized as a result of the competition between parametric gain and decoherence.
arXiv Detail & Related papers (2025-10-21T09:01:19Z) - Drift No More? Context Equilibria in Multi-Turn LLM Interactions [58.69551510148673]
contexts drift is the gradual divergence of a model's outputs from goal-consistent behavior across turns.<n>Unlike single-turn errors, drift unfolds temporally and is poorly captured by static evaluation metrics.<n>We show that multi-turn drift can be understood as a controllable equilibrium phenomenon rather than as inevitable decay.
arXiv Detail & Related papers (2025-10-09T04:48:49Z) - Embedding-Aware Noise Modeling of Quantum Annealing [3.446273281167618]
We develop a framework that connects embedding-induced overhead with hardware noise in D-Wave's Zephyr topology.<n>Our findings establish a general embedding-aware noise framework that explains the trade-off between chain stability and logical coupler fidelity.
arXiv Detail & Related papers (2025-10-06T08:48:25Z) - Every Subtlety Counts: Fine-grained Person Independence Micro-Action Recognition via Distributionally Robust Optimization [36.230001277076376]
Micro-action Recognition is vital for psychological assessment and human-computer interaction.<n>Existing methods often fail in real-world scenarios because inter-person variability causes the same action to manifest differently.<n>We propose the Person Independence Universal Micro-action Recognition Framework, which integrates Distributionally Robust Optimization principles to learn person-agnostic representations.
arXiv Detail & Related papers (2025-09-25T14:54:24Z) - A Collisional Model Approach to Quantum Phase Sensitivity [0.0]
Relative phase information encoded by a single qubit $H,varphi,H$ gate sequence is reflected in the quantum Fisher information (QFI)<n>We investigate how relative phase information, encoded by a single qubit $H,varphi,H$ gate sequence, is reflected in the quantum Fisher information (QFI) under noisy dynamics.
arXiv Detail & Related papers (2025-09-20T17:28:22Z) - Multimode Bosonic State Tomography with Single-Shot Joint Parity Measurement of a Trapped Ion [3.8758525789991896]
We demonstrate a novel scheme for reconstructing a continuous-variable quantum state using the direct single-shot measurement of the joint parity of the phonon states of a trapped ion.<n>We show that the single-shot joint parity measurement can be used to detect parity-flip errors in real time.
arXiv Detail & Related papers (2025-06-14T21:05:06Z) - Parametric Stability Analysis for Circuit Quantum Electrodynamical Hardwares [0.8192907805418583]
We show how time-dependent modulation maps the dynamics to Mathieu-type equations.<n>Perturbative corrections capture effects like higher harmonics and weak nonlinearities.<n>These findings inform thresholds for readout fidelity, amplifier gain, and multi-qubit gate stability.
arXiv Detail & Related papers (2025-05-19T14:31:46Z) - Dissipative preparation and stabilization of many-body quantum states in
a superconducting qutrit array [55.41644538483948]
We present and analyze a protocol for driven-dissipatively preparing and stabilizing a manifold of quantum manybody entangled states.
We perform theoretical modeling of this platform via pulse-level simulations based on physical features of real devices.
Our work shows the capacity of driven-dissipative superconducting cQED systems to host robust and self-corrected quantum manybody states.
arXiv Detail & Related papers (2023-03-21T18:02:47Z) - Spectral Decomposition Representation for Reinforcement Learning [100.0424588013549]
We propose an alternative spectral method, Spectral Decomposition Representation (SPEDER), that extracts a state-action abstraction from the dynamics without inducing spurious dependence on the data collection policy.
A theoretical analysis establishes the sample efficiency of the proposed algorithm in both the online and offline settings.
An experimental investigation demonstrates superior performance over current state-of-the-art algorithms across several benchmarks.
arXiv Detail & Related papers (2022-08-19T19:01:30Z) - Decimation technique for open quantum systems: a case study with
driven-dissipative bosonic chains [62.997667081978825]
Unavoidable coupling of quantum systems to external degrees of freedom leads to dissipative (non-unitary) dynamics.
We introduce a method to deal with these systems based on the calculation of (dissipative) lattice Green's function.
We illustrate the power of this method with several examples of driven-dissipative bosonic chains of increasing complexity.
arXiv Detail & Related papers (2022-02-15T19:00:09Z) - Feedback-induced instabilities and dynamics in the Jaynes-Cummings model [62.997667081978825]
We investigate the coherence and steady-state properties of the Jaynes-Cummings model subjected to time-delayed coherent feedback.
The introduced feedback qualitatively modifies the dynamical response and steady-state quantum properties of the system.
arXiv Detail & Related papers (2020-06-20T10:07:01Z)
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.