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Large Language Models (LLMs) demonstrate remarkable performance in semantic understanding and generation, yet accurately assessing their output reliability remains a significant challenge. While numerous studies have explored calibration…

人工智能 · 计算机科学 2024-12-18 Liangru Xie , Hui Liu , Jingying Zeng , Xianfeng Tang , Yan Han , Chen Luo , Jing Huang , Zhen Li , Suhang Wang , Qi He

We have developed a calibration system based on a micro-electromechanical systems (MEMS) mirror that is capable of delivering an optical beam over a wavelength range of 180 -- 2000 nm (0.62 -- 6.89 eV) in a sub-Kelvin environment. This…

Conformal inference is a statistical method used to construct prediction sets for point predictors, providing reliable uncertainty quantification with probability guarantees. This method utilizes historical labeled data to estimate the…

机器学习 · 计算机科学 2024-11-05 Xiaoyi Su , Zhixin Zhou , Rui Luo

Primary power standards in the microwave domain are realized using a calorimetric technique, usually identified with the used measurement system, i.e., the microcalorimeter. It is adjusted for measurement of power ratios with a relative…

仪器与探测器 · 物理学 2021-03-09 L. Brunetti , L. Oberto

It is now well known that neural networks can be wrong with high confidence in their predictions, leading to poor calibration. The most common post-hoc approach to compensate for this is to perform temperature scaling, which adjusts the…

计算机视觉与模式识别 · 计算机科学 2022-07-25 Tom Joy , Francesco Pinto , Ser-Nam Lim , Philip H. S. Torr , Puneet K. Dokania

Fourier ptychographic microscopy (FPM) is a recently proposed quantitative phase imaging technique with high resolution and wide field-of-view (FOV). In current FPM imaging platforms, systematic error sources come from the aberrations, LED…

仪器与探测器 · 物理学 2017-09-18 An Pan , Yan Zhang , Tianyu Zhao , Zhaojun Wang , Dan Dan , Baoli Yao

Coherent anti-Stokes Raman Spectroscopy (CARS) is a laser-based measurement technique widely applied across many science and engineering disciplines to perform non-intrusive gas diagnostics. CARS is often used to study combustion, where the…

机器学习 · 计算机科学 2022-05-25 Gregory J. Hunt , Cody R. Ground , Andrew D. Cutler

We consider probe-based quantum thermometry and show that machine classification can provide model-independent estimation with quantifiable error assessment. Our approach is based on the k-nearest-neighbor algorithm. The machine is trained…

量子物理 · 物理学 2022-02-23 Fabrício S. Luiz , A. de Oliveira Junior , Felipe F. Fanchini , Gabriel T. Landi

Integrated tempering sampling (ITS) method is an approach to enhance the sampling over a broad range of energies and temperatures in computer simulations. In this paper, a new version of integrated tempering sampling method is proposed. In…

计算物理 · 物理学 2015-06-15 Peng Zhao , Li Jiang Yang , Yi Qin Gao , Zhong-Yuan Lu

Temperature estimation, known as thermometry, is a critical sensing task for physical systems operating in the quantum regime. Indeed, thermal fluctuations can significantly degrade quantum coherence. Therefore, accurately determining the…

The paper describes a method for measuring the thermal diffusivity of materials having a high thermal conductivity. The apparatus is rather simple and low-cost, being therefore suitable in a laboratory for undergraduate students of…

物理教育 · 物理学 2014-01-15 Amelia Carolina Sparavigna

Coulomb crystals of cold trapped ions are a leading platform for the realisation of quantum processors and quantum simulations and, in quantum metrology, for the construction of optical atomic clocks and for fundamental tests of the…

We describe a compact calorimeter that opens ultra-low temperature heat capacity studies of small metal crystals in moderate magnetic fields. The performance is demonstrated on the canonical heavy Fermion metal YbRh2Si2. Thermometry is…

仪器与探测器 · 物理学 2024-07-02 Jan Knapp , Lev V. Levitin , Ján Nyéki , Manuel Brando , John Saunders

With information from multiple input modalities, sensor fusion-based algorithms usually out-perform their single-modality counterparts in robotics. Camera and LIDAR, with complementary semantic and depth information, are the typical choices…

计算机视觉与模式识别 · 计算机科学 2022-07-11 Akio Kodaira , Yiyang Zhou , Pengwei Zang , Wei Zhan , Masayoshi Tomizuka

Scanning Kelvin probe microscopy (SKPM) is a powerful technique for macroscopic imaging of the electrostatic potential above a surface. Though most often used to image work-function variations of conductive surfaces, it can also be used to…

应用物理 · 物理学 2025-06-10 Isaac C. D. Lenton , Felix Pertl , Lubuna Shafeek , Scott R. Waitukaitis

We introduce prethermal temperature probes for sensitive, fast and robust temperature estimation. While equilibrium thermal probes with a manifold of quasidegenerate excited states have been previously recognized for their maximal…

量子物理 · 物理学 2023-11-10 Nicholas Anto-Sztrikacs , Harry J. D. Miller , Ahsan Nazir , Dvira Segal

Conformal prediction is an emerging technique for uncertainty quantification that constructs prediction sets guaranteed to contain the true label with a predefined probability. Previous works often employ temperature scaling to calibrate…

机器学习 · 计算机科学 2024-12-24 Huajun Xi , Jianguo Huang , Kangdao Liu , Lei Feng , Hongxin Wei

The thermal conductivity of nanometric objects or nanostructured materials can be determined using non equilibrium molecular dynamics (NEMD) simulations. The technique is simple in its principle, and resembles a numerical guarded hot plate…

材料科学 · 物理学 2007-05-23 Patrice Chantrenne , Jean-Louis Barrat

We present a scanning probe microscopy technique for spatially resolving transport in cold atomic gases, in close analogy with scanning gate microscopy in semiconductor physics. The conductance of a quantum point contact connected to two…

Scanning tunneling microscope (STM) has presented a revolutionary methodology to the nanoscience and nanotechnology. It enables imaging the topography of surfaces, mapping the distribution of electronic density of states, and manipulating…

介观与纳米尺度物理 · 物理学 2020-09-07 Wonhee Ko , Chuanxu Ma , Giang D. Nguyen , Marek Kolmer , An-Ping Li
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