Reproducible Reservoir Computing with Thermally Driven Superparamagnets: Controlling Temperature Sensitivity

• URL: http://arxiv.org/abs/2607.12840v1
• Date: Tue, 14 Jul 2026 14:57:12 GMT
• Title: Reproducible Reservoir Computing with Thermally Driven Superparamagnets: Controlling Temperature Sensitivity
• Abstract summary: Unconventional computing systems must demonstrate robust performance under real-world environmental conditions to enable practical deployments.<n>We have proposed superparamagnetic nanodot ensembles driven by strain-induced magnetoelectric coupling as exciting candidates for use as ultra-low energy consumption reservoir computing substrates.<n>Because their dynamics are governed by thermal activation effects, these systems are intrinsically sensitive to ambient temperature fluctuations, leading to degraded task performance when operated outside the temperature range used during training.
• Score: 0.9851812512860351
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Unconventional computing systems must demonstrate robust performance under real-world environmental conditions to enable practical deployments. We have recently proposed superparamagnetic nanodot ensembles driven by strain-induced magnetoelectric coupling as exciting candidates for use as ultra-low energy consumption reservoir computing substrates. However, because their dynamics are governed by thermal activation effects, these systems are intrinsically sensitive to ambient temperature fluctuations, leading to degraded task performance when operated outside the temperature range used during training. In this paper we simulate how temperature variations affect the magnetization dynamics of such superparamagnetic ensembles, and quantify how this affects task performance. We then show how heterogeneous nanodot patterns that incorporate different sizes of nanodots with different characteristic timescales for thermal activation mitigate this problem. Benchmark results on the NARMA-10 task show that introducing optimized heterogeneity stabilizes performance of the reservoirs across a wide range of ambient temperatures (5-35°C), with little loss of ultimate performance. We also characterize the trade-off between performance and temperature stability and show that it can be tuned via reservoir hyperparameters. Our study demonstrates a key step in making these novel devices suitable for real-world deployment.

Related papers

• Beyond Noise: Understanding and Overcoming Temperature Effects in Analog DNN Inference [4.663767304979158]
  analog accelerators are susceptible to noise and non-idealities arising from physical component variations.<n>We show that temperature-induced degradation is driven primarily by systematic non-idealities rather than noise alone.<n>Noise-aware training improves robustness, while hardware-in-the-loop training and temperature calibration provide the strongest accuracy retention across varying thermal conditions.
  arXiv  Detail & Related papers  (2026-09-14T13:17:13Z)
• Virtual Temperature Sensors in Power Transformers Using Neural Ordinary Differential Equations [42.50242605797505]
  This paper develops a physics-aware Neural Ordinary Differential Equation framework for forecasting transformer thermal behavior.<n>A key contribution is the integration of simplified heat-transfer equations directly into the Neural ODE formulation.<n>The framework provides a standardized, physics-aware, and robust forecasting approach for heterogeneous transformer units.
  arXiv  Detail & Related papers  (2026-08-13T13:59:32Z)
• Breakdown of Thermalization from Real-Time Dynamics in the Two-Dimensional Hubbard Model [37.56003520528009]
  Thermalization in strongly correlated fermionic systems remains a central open problem in quantum many-body physics.<n>In this work, we investigate the real-time dynamics and the approach to thermalization in the two-dimensional Hubbard model.
  arXiv  Detail & Related papers  (2026-06-03T18:00:05Z)
• Quantum Otto cycle in the Anderson impurity model [39.146761527401424]
  We study the thermodynamic performance of a periodic quantum Otto cycle operating on the single-impurity Anderson model.<n>Our results show that Coulomb interaction can change the operating regimes and may lead to an enhancement of the efficiency.
  arXiv  Detail & Related papers  (2026-01-29T11:02:04Z)
• Experimental Realization of Thermal Reservoirs with Tunable Temperature in a Trapped-Ion Spin-Boson Simulator [0.952790967447304]
  We propose and demonstrate an experimental scheme to engineer thermal baths with independently tunable temperatures and dissipation rates.<n>This approach enables robust thermal-state preparation and quantum simulations of open-system dynamics in bosonic and spin-boson models.
  arXiv  Detail & Related papers  (2025-11-11T19:00:06Z)
• Atomistic spin dynamics with quantum colored noise [0.0]
  We present a comprehensive implementation of quantum-corrected Atomistic Spin Dynamics simulations.<n>Our results establish that incorporating quantum environmental effects and colored noise substantially enhances the predictive capabilities of ASD simulations.
  arXiv  Detail & Related papers  (2025-08-15T08:34:35Z)
• Dissipation and non-thermal states in cryogenic cavities [37.69303106863453]
  We study the properties of photons in a cryogenic cavity, made by cryo-cooled mirrors surrounded by a room temperature environment.<n>Using a Lindblad master equation approach, we derive the photon distribution and the statistical properties of the cavity modes.
  arXiv  Detail & Related papers  (2025-04-01T09:49:47Z)
• Temperature shift of magnetic-field-dependent photoluminescence features of nitrogen-vacancy ensembles in diamond [6.163508788139786]
  We study the thermal variability of many different features visible in a wide range of magnetic fields. A deeper insight into the thermal behavior of a wide array of the features may come with important consequences for various applications.
  arXiv  Detail & Related papers  (2024-09-05T15:14:28Z)
• Heat transport and cooling performance in a nanomechanical system with local and non local interactions [68.8204255655161]
  We study heat transport through a one dimensional time-dependent nanomechanical system. The system presents different stationary transport regimes depending on the driving frequency, temperature gradients and the degree of locality of the interactions.
  arXiv  Detail & Related papers  (2022-02-21T12:03:54Z)
• Accurate simulation and thermal tuning by temperature-adaptive boundary interactions on quantum many-body systems [2.13230439190003]
  We propose the temperature-adaptive entanglement simulator (TAES) that mimics and tunes the thermodynamics of the one-dimensional (1D) many-body system. With the benchmark on 1D spin chains, TAES surpasses the state-of-the-art accuracy compared with the existing finite-temperature approaches.
  arXiv  Detail & Related papers  (2021-04-30T15:21:06Z)
• Optimal control of a nitrogen-vacancy spin ensemble in diamond for sensing in the pulsed domain [52.77024349608834]
  Defects in solid state materials provide an ideal platform for quantum sensing. Control of such an ensemble is challenging due to the spatial variation in both the defect energy levels and in any control field across a macroscopic sample. We experimentally demonstrate that we can overcome these challenges using Floquet theory and optimal control optimization methods.
  arXiv  Detail & Related papers  (2021-01-25T13:01:05Z)
• Real-time nanodiamond thermometry probing in-vivo thermogenic responses [43.669448080580295]
  Light-emitting nanothermometers based on optically accessible electron spins in nanodiamonds (NDs) We develop a thermometry system that can measure the temperatures of movable NDs inside live adult worms with a precision of $pm 0.22circrm C$.
  arXiv  Detail & Related papers  (2020-01-09T05:17:14Z)

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.