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The integration of Artificial Intelligence (AI) into safety-critical systems introduces a new reliability paradigm: silent failures, where AI produces confident but incorrect outputs that can be dangerous. This paper introduces the Formal…

Software Engineering · Computer Science 2026-03-03 Guan-Yan Yang , Farn Wang

In many classification tasks there is a requirement of monotonicity. Concretely, if all else remains constant, increasing (resp. decreasing) the value of one or more features must not decrease (resp. increase) the value of the prediction.…

Machine Learning · Computer Science 2021-06-02 Joao Marques-Silva , Thomas Gerspacher , Martin Cooper , Alexey Ignatiev , Nina Narodytska

Light emission by metals at room temperature is quenched by fast relaxation processes. Nevertheless, Mooradian reported in 1969 the observation of photoluminescence by metals pumped by a laser. Strikingly, while it is currently at the heart…

Optics · Physics 2024-06-07 Aurelian Loirette-Pelous , Jean-Jacques Greffet

The search for new, application-specific quantum computers designed to outperform any classical computer is driven by the ending of Moore's law and the quantum advantages potentially obtainable. Photonic networks are promising examples,…

Quantum Physics · Physics 2018-04-13 B. Opanchuk , L. Rosales-Zárate , M. D. Reid , P. D. Drummond

The prosperity and lifestyle of our society are very much governed by achievements in condensed matter physics, chemistry and materials science, because new products for sectors such as energy, the environment, health, mobility and…

When light originating from a laser diode driven by non-fluctuating electrical currents is incident on a photo-detector, the photo-current does not fluctuate much. Precisely, this means that the variance of the number of photo-electrons…

Quantum Physics · Physics 2007-05-23 Jacques Arnaud , Laurent Chusseau , Fabrice Philippe

We develop an information theoretic interpretation of the number-phase complementarity in atomic systems, where phase is treated as a continuous positive operator valued measure (POVM). The relevant uncertainty principle is obtained as an…

Quantum Physics · Physics 2015-05-13 R. Srikanth , Subhashish Banerjee

Nowadays we are witnessing a transformation of the business processes towards a more computation driven approach. The ever increasing usage of Machine Learning techniques is the clearest example of such trend. This sort of revolution is…

Machine Learning · Computer Science 2022-03-18 Giorgio Visani , Enrico Bagli , Federico Chesani , Alessandro Poluzzi , Davide Capuzzo

In the mass-polariton (MP) theory of light formulated by us recently [Phys. Rev. A 95, 063850 (2017)], light in a medium is described as a coupled state of the field and matter. The key result of the MP theory is that the optical force of…

Optics · Physics 2019-04-03 Mikko Partanen , Jukka Tulkki

Machine learning is becoming an ever present part in our lives as many decisions, e.g. to lend a credit, are no longer made by humans but by machine learning algorithms. However those decisions are often unfair and discriminating…

Computers and Society · Computer Science 2024-05-28 Elias Baumann , Josef Lorenz Rumberger

Reliability has become an increasing concern in modern computing. Integrated circuits (ICs) are the backbone of modern computing devices across industries, including artificial intelligence (AI), consumer electronics, healthcare,…

Systems and Control · Electrical Eng. & Systems 2025-03-28 Shaik Jani Babu , Fan Hu , Linyu Zhu , Sonal Singhal , Xinfei Guo

To quantify quantum optical coherence requires both the particle- and wave-natures of light. For an ideal laser beam [1,2,3], it can be thought of roughly as the number of photons emitted consecutively into the beam with the same phase.…

Quantum Physics · Physics 2020-11-06 Travis J. Baker , S. N. Saadatmand , Dominic W. Berry , Howard M. Wiseman

Many material properties are manifested in the morphological appearance and characterized with microscopic image, such as scanning electron microscopy (SEM). Polymer miscibility is a key physical quantity of polymer material and commonly…

Computer Vision and Pattern Recognition · Computer Science 2023-08-04 Zhilong Liang , Zhenzhi Tan , Ruixin Hong , Wanli Ouyang , Jinying Yuan , Changshui Zhang

In the dynamic landscape of Artificial Intelligence (AI), two notable phenomena are becoming predominant: the exponential growth of large AI model sizes and the explosion of massive amount of data. Meanwhile, scientific research such as…

Optics · Physics 2025-03-21 Renjie Li , Yuanhao Gong , Hai Huang , Yuze Zhou , Sixuan Mao , Zhijian Wei , Zhaoyu Zhang

Machine learning methods have revolutionized the discovery process of new molecules and materials. However, the intensive training process of neural networks for molecules with ever-increasing complexity has resulted in exponential growth…

Emerging Technologies · Computer Science 2022-12-27 Hui Zhang , Jonathan Wei Zhong Lau , Lingxiao Wan , Liang Shi , Hong Cai , Xianshu Luo , Patrick Lo , Chee-Kong Lee , Leong-Chuan Kwek , Ai Qun Liu

We show that in the case of unknown {\em harmonic oscillator coherent states} it is possible to achieve what we call {\it perfect information cloning}. By this we mean that it is still possible to make arbitrary number of copies of a state…

Quantum Physics · Physics 2007-05-23 N. D. Hari Dass , Pradeep Ganesh

Digital computers have been getting exponentially faster for decades, but huge challenges exist today. Transistor scaling, described by Moore's law, has been slowing down over the last few years, ending the era of fully predictable…

Emerging Technologies · Computer Science 2023-08-08 Adnan Mehonic , Dovydas Joksas

It is now widely accepted that the CMOS technology implementing irreversible logic will hit a scaling limit beyond 2016, and that the increased power dissipation is a major limiting factor. Reversible computing can potentially require…

Information Theory · Computer Science 2007-07-13 P. Oscar Boykin , Vwani P. Roychowdhury

The fluctuations or disordered motion of the electromagnetic fields are described by statistical properties rather than instantaneous values. This statistical description of the optical fields is underlying in the Stokes-Mueller formalism…

The detection of quantum and classical phase transitions in the absence of an order parameter is possible using the Fisher information metric (FIM), also known as fidelity susceptibility. Here, we propose and investigate an unsupervised…

Quantum Physics · Physics 2024-08-27 Victor Kasatkin , Evgeny Mozgunov , Nicholas Ezzell , Daniel Lidar