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Noise dominates every aspect of near-term quantum computers, rendering it exceedingly difficult to carry out even small computations. In this paper we are concerned with the modelling of noise in Noisy Intermediate-Scale Quantum (NISQ)…

Quantum Physics · Physics 2021-12-20 Konstantinos Georgopoulos , Clive Emary , Paolo Zuliani

A photoacoustic (PA) sensor based on higher order acoustic modes is demonstrated. The PA sensor is designed to enhance the gas-detection performance and simultaneously suppress ambient noise sources (e.g. flow noise, electrical noise and…

Achieving quantum-enhanced performances when measuring unknown quantities requires developing suitable methodologies for practical scenarios, that include noise and the availability of a limited amount of resources. Here, we report on the…

In this paper, the multiple-source ellipsoidal localization problem based on acoustic energy measurements is investigated via set-membership estimation theory. When the probability density function of measurement noise is…

Information Theory · Computer Science 2019-11-19 Fanqin Meng , Xiaojing Shen , Zhiguo Wang , Haiqi Liu , Junfeng Wang , Yunmin Zhu , Pramod K. Varshney

Pre-fault tolerant quantum computers have already demonstrated the ability to estimate observable values accurately, at a scale beyond brute-force classical computation. This has been enabled by error mitigation techniques that often rely…

Modern wearable devices are embedded with a range of noninvasive biomarker sensors that hold promise for improving detection and treatment of disease. One such sensor is the single-lead electrocardiogram (ECG) which measures electrical…

Machine Learning · Statistics 2020-12-02 Jeffrey Chan , Andrew C. Miller , Emily B. Fox

Quantum noise is known to strongly affect quantum computation, thus potentially limiting the performance of currently available quantum processing units. Even learning models based on variational quantum algorithms, which were designed to…

Quantum Physics · Physics 2026-02-04 Francesco Scala , Giacomo Guarnieri , Aurelien Lucchi

A novel multi-channel artificial wind noise generator based on a fluid dynamics model, namely the Corcos model, is proposed. In particular, the model is used to approximate the complex coherence function of wind noise signals measured with…

Audio and Speech Processing · Electrical Eng. & Systems 2019-12-13 Daniele Mirabilii , Emanuël A. P. Habets

Installation noise is a dominant source associated with aircraft jet engines. Recent studies show that linear wavepacket models can be employed for prediction of installation noise, which suggests that linear control strategies can also be…

Fluid Dynamics · Physics 2023-03-07 Ugur Karban , Eduardo Martini , Peter Jordan

Scanning tunneling microscopy (STM) and micro-electromechanical systems (MEMS) have traditionally addressed vastly different length scales - one resolving atoms, the other engineering macroscopic motion. Here we unite these two fields to…

Mesoscale and Nanoscale Physics · Physics 2026-01-09 R. J. G. Elbertse , M. Xu , A. Keşkekler , S. Otte , R. A. Norte

Motivated by recent surprising experimental results for the noise output of superconducting microfabricated resonators used in quantum computing applications and astronomy, we develop a fully quantum theoretical model to describe quantum…

Superconductivity · Physics 2015-05-27 So Takei , Victor M. Galitski , Kevin D. Osborn

We explore the possibility of enhancing the performance of small thermal machines by the presence of common noise sources. In particular, we study a prototypical model for an autonomous quantum refrigerator comprised by three qubits coupled…

Quantum Physics · Physics 2019-12-19 Gonzalo Manzano , Gian-Luca Giorgi , Rosario Fazio , Roberta Zambrini

Resonant sensors based on Micro- and Nano-Electro Mechanical Systems (M/NEMS) are ubiquitous in many sensing applications due to their outstanding performance capabilities, which are directly proportional to the quality factor (Q) of the…

Noise is possibly the most formidable challenge for quantum technologies. As such, a great deal of effort is dedicated to developing methods for noise reduction. One remarkable achievement in this direction is dynamical decoupling; it…

Quantum Physics · Physics 2024-06-28 Graeme D. Berk , Simon Milz , Felix A. Pollock , Kavan Modi

While our world is filled with its own natural sounds that we can't resist enjoying, it is also chock-full of other sounds that can be irritating, this is noise. Noise not only influences the working efficiency but also the human's health.…

Sound · Computer Science 2023-11-02 kai Wu , Yuanyuan Chen

To get the best possible results from current quantum devices error mitigation is essential. In this work we present a simple but effective error mitigation technique based on the assumption that noise in a deep quantum circuit is well…

Transition-edge sensor (TES) is a highly sensitive device that is capable of detecting extremely low levels of energy. It is characterised by low noise performance and high energy resolution. A mature method for reading out TES signal is…

Instrumentation and Detectors · Physics 2025-02-11 N. Li , X. Ren , H. Gao , Z. Zhang , Y. Zhang , C. Liu , H. Li , Z. Li

Coupled electromechanical resonators that can be independently driven/detected and easily integrated with external circuits are essential for exploring mechanical modes based signal processing. Here, we present a room temperature…

Mesoscale and Nanoscale Physics · Physics 2022-09-13 Alok Pokharel , Hao Xu , Srisaran Venkatachalam , Eddy Collin , Xin Zhou

Meaningful quantum computing is currently bottlenecked by the error rates of current generation Noisy Intermediate Scale Quantum (NISQ) devices. To improve the fidelity of the quantum logic gates, it is essential to recognize the…

Quantum-intensity-correlated twin beams of light can be used to measure absorption with precision beyond the classical shot-noise limit. The degree to which this can be achieved with a given estimator is defined by the quality of the…

Quantum Physics · Physics 2020-08-26 Jason D. Mueller , Nigam Samantaray , Jonathan C. F. Matthews
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