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Related papers: Crosstalk Noise Modeling for RC and RLC interconne…

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We develop and apply an extension of the randomized compiling (RC) protocol that includes a special treatment of neighboring qubits and dramatically reduces crosstalk effects caused by the application of faulty gates on superconducting…

Quantum Physics · Physics 2024-02-07 Hugo Perrin , Thibault Scoquart , Alexander Shnirman , Jörg Schmalian , Kyrylo Snizhko

Crosstalk in VLSI interconnects is a major constrain in DSM and UDSM technology. Among various strategies followed for its minimization, shield insertion between Aggressor and Victim is one of the prominent options. This paper analyzes the…

Other Computer Science · Computer Science 2010-06-15 Divya Mishra , Shailendra Mishra , Praggya Agnihotry , B. K. Kaushik

High performance computing (HPC) systems make extensive use of high speed electrical interconnects, in routing signals among processing elements, or between processing elements and memory. Increasing bandwidth demands result in high…

Signal Processing · Electrical Eng. & Systems 2023-01-25 Chad M. Smutzer , Michael J. Degerstrom , Barry K. Gilbert , Erik S. Daniel

This paper simulates and analyses the crosstalk interference in off-chip and on-chip communications in multi-stacked chips where Inductive Coupling Links (ICLs) are the communication medium. Crosstalk impacts data signals, leading to errors…

Signal Processing · Electrical Eng. & Systems 2024-11-15 Abdullah Saeed Alghotmi

Integrated sensing and communication (ISAC) base stations can provide communication and wide range sensing information for vehicles via downlink (DL) transmission, thus enhancing vehicle driving safety. One major challenge for realizing…

Performance · Computer Science 2023-10-13 Wangjun Jiang , Zhiqing Wei , Fan Liu , Zhiyong Feng , Ping Zhang

Three Dimensional Integrated Circuits (3D IC) offer lower power consumption, higher performance, higher bandwidth, and scalability over the conventional two dimensional ICs. Through-Silicon Via (TSV) is one of the fabrication mechanisms…

Emerging Technologies · Computer Science 2019-01-04 Reza Mirosanlou , Mohammadkazem Taram , Zahra Shirmohammadi , Seyed-Ghassem Miremadi

Model mismatch and process noise are two frequently occurring phenomena that can drastically affect the performance of model predictive control (MPC) in practical applications. We propose a principled way to tune the cost function and the…

Systems and Control · Electrical Eng. & Systems 2025-06-24 Riccardo Zuliani , Efe C. Balta , John Lygeros

Crosstalk between qubits fundamentally limits the scalability of quantum processors, necessitating physics-based models that can handle the complexity of large qubit arrays. Here, we develop a comprehensive theoretical and experimental…

Visible light communication (VLC) has the potential to supplement the growing demand for wireless connectivity. In order to realise the full potential of VLC, channel models are required Discrete channel models based on semi-hidden Markov…

Signal Processing · Electrical Eng. & Systems 2019-02-20 Daniel G. Holmes , Ling Cheng , Mulundumina Shimaponda-Nawa , Ayokunle D. Familua , Adnan M. Abu-Mahfouz

Decreasing transistor sizes and lower voltage swings cause two distinct problems for communication in integrated circuits. First, decreasing inter-wire spacing increases interline capacitive coupling, which adversely affects transmission…

Information Theory · Computer Science 2019-02-18 Urs Niesen , Shrinivas Kudekar

The ever-increasing industry desire for improved performance makes linear controller design run into fundamental limitations. Nonlinear control methods such as Reset Control (RC) are needed to overcome these. RC is a promising candidate…

Systems and Control · Electrical Eng. & Systems 2020-10-01 R. N. Buitenhuis , N. Saikumar , S. H. HosseinNia

This study addresses a key limitation in deep learning Automatic Modulation Classification (AMC) models, which perform well at high signal-to-noise ratios (SNRs) but degrade under noisy conditions due to conventional feature extraction…

Machine Learning · Computer Science 2026-04-14 Prakash Suman , Yanzhen Qu

Current advancements in technology have focused the attention of the quantum computing community toward exploring the potential of near-term devices whose computing power surpasses that of classical computers in practical applications. An…

Quantum Physics · Physics 2024-11-06 Sovanmonynuth Heng , Myeongseong Go , Youngsun Han

Cross-modal retrieval is crucial in understanding latent correspondences across modalities. However, existing methods implicitly assume well-matched training data, which is impractical as real-world data inevitably involves imperfect…

Computer Vision and Pattern Recognition · Computer Science 2024-08-13 Zhuohang Dang , Minnan Luo , Jihong Wang , Chengyou Jia , Haochen Han , Herun Wan , Guang Dai , Xiaojun Chang , Jingdong Wang

Random Linear Network Coding (RLNC) is a transmission scheme that opts for linear combinations of the transmitted packets at a subset of the intermediate nodes. This scheme is usually considered when Network Coding (NC) is desired over…

Information Theory · Computer Science 2023-04-27 Amine Brahimi , Fatiha Merazka

As superconducting quantum processors continue to scale, high-performance quantum control becomes increasingly critical. In densely integrated architectures, unwanted interactions between nearby qubits give rise to crosstalk errors that…

Quantum Physics · Physics 2026-01-09 Hui-Hang Chen , Chiao-Hsuan Wang

We describe an efficient and scalable framework for modeling crosstalk effects on quantum information processors. By applying optimal control techniques, we show how to tuneup arbitrary high-fidelity parallel operations on systems with…

Quantum Physics · Physics 2021-06-16 Adam Winick , Joel J. Wallman , Joseph Emerson

The past few decades have seen exponential growth in capabilities of digital electronics primarily due to the ability to scale Integrated Circuits (ICs) to smaller dimensions while attaining power and performance benefits. That scalability…

Emerging Technologies · Computer Science 2020-04-20 Naveen Kumar Macha , Md Arif Iqbal , Bhavana Tejaswini Repalle , Sehtab Hossain , Mostafizur Rahman

Measurements acquired from distributed physical systems are often sparse and noisy. Therefore, signal processing and system identification tools are required to mitigate noise effects and reconstruct unobserved dynamics from limited sensor…

Machine Learning · Computer Science 2025-09-08 Omid Sedehi , Manish Yadav , Merten Stender , Sebastian Oberst

Diffusion-based Molecular Communication (MC) is inherently challenged by severe inter-symbol interference (ISI). This is significantly amplified in mobile scenarios, where the channel impulse response (CIR) becomes time-varying and…

Emerging Technologies · Computer Science 2025-11-13 Abdulkadir Bilge , Eren Akyol , Murat Kuscu
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