Publications associées à Depth-optimal Buffer and Splitter Insertion and Optimization in AQFP Circuits

Publications associées (14)

From Master Equation to SPICE: A Platform to Model Cryo-CMOS Control for Qubits

Andrew James Wright Garcia, Edoardo Charbon, Vladimir Pesic

Cryogenic classical electronics for the control of qubits can be placed near quantum processors for a more compact system, ultimately enabling a highly scalable one. However, cryogenic operation poses very strict power requirements on electronics, in addit ...

IEEE2024

Continuous Test-time Domain Adaptation for Efficient Fault Detection under Evolving Operating Conditions

Olga Fink, Han Sun

Fault detection is crucial in industrial systems to prevent failures and optimize performance by distinguishing abnormal from normal operating conditions. Data-driven methods have been gaining popularity for fault detection tasks as the amount of condition ...

PHM Society2024

Self-Aware Social Learning Over Graphs

Ali H. Sayed, Stefan Vlaski, Virginia Bordignon, Konstantinos Ntemos

In this paper we study the problem of social learning under multiple true hypotheses and self-interested agents that exchange information over a graph. In this setup, each agent receives data that might be generated from a different hypothesis (or state) t ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

Type-safe Quantum Programming in Idris

Liliane-Joy Yana Dandy

Variational Quantum Algorithms are hybrid classical-quantum algorithms where classical and quantum computation work in tandem to solve computational problems. These algorithms create interesting challenges for the design of suitable programming languages. ...

Springer Nature2023

A Taxonomy of Empathetic Questions in Social Dialogs

Pearl Pu Faltings, Kalpani Anuradha Welivita, Ekaterina Svikhnushina

Effective question-asking is a crucial component of a successful conversational chatbot. It could help the bots manifest empathy and render the interaction more engaging by demonstrating attention to the speaker's emotions. However, current dialog generati ...

ASSOC COMPUTATIONAL LINGUISTICS-ACL2022

Self-rule to multi-adapt: Generalized multi-source feature learning using unsupervised domain adaptation for colorectal cancer tissue detection

Jean-Philippe Thiran, Seyedbehzad Bozorgtabar, Christian Robert Abbet

Supervised learning is constrained by the availability of labeled data, which are especially expensive to acquire in the field of digital pathology. Making use of open-source data for pre-training or using domain adaptation can be a way to overcome this is ...

ELSEVIER2022

Coupled Splines for Sparse Curve Fitting

Icíar Lloréns Jover, Michaël Unser, Shayan Aziznejad, Thomas Jean Debarre

We formulate as an inverse problem the construction of sparse parametric continuous curve models that fit a sequence of contour points. Our prior is incorporated as a regularization term that encourages rotation invariance and sparsity. We prove that an op ...

2022

Optimizing Adiabatic Quantum-Flux-Parametron (AQFP) Circuits using an Exact Database

Giovanni De Micheli, Dewmini Sudara Marakkalage

Adiabatic Quantum-Flux-Parametron (AQFP) is a family of superconducting electronic (SCE) circuits exhibiting high energy efficiency. In AQFP technology, logic gates require splitters to drive multiple fanouts and both the logic gates and the splitters are ...

IEEE2021

A Large-Scale Dataset for Empathetic Response Generation

Pearl Pu Faltings, Kalpani Anuradha Welivita, Yubo Xie

Recent development in NLP shows a strong trend towards refining pre-trained models with a domain-specific dataset. This is especially the case for response generation where emotion plays an important role. However, existing empathetic datasets remain small ...

ASSOC COMPUTATIONAL LINGUISTICS-ACL2021

Parallelizing Maximal Clique Enumeration on Modern Manycore Processors

Paolo Ienne, Jovan Blanusa

Many fundamental graph mining problems, such as maximal clique enumeration and subgraph isomorphism, can be solved using combinatorial algorithms that are naturally expressed in a recursive form. However, recursive graph mining algorithms suffer from a hig ...

IEEE COMPUTER SOC2020

An Actuation Fault Tolerance Approach to Reconfiguration Planning of Modular Self-folding Robots

Jamie Paik

This paper presents a novel approach to fault tolerant reconfiguration of modular self-folding robots. Among various types of faults that probably occur in the modular system, we focus on the tolerance of complete actuation failure of active modules that m ...

IEEE2020

Fully Soft-Switched High Step-Up Nonisolated Three-Port DC-DC Converter Using GaN HEMTs

Marco Mattavelli, Elison de Nazareth Matioli, Georgios Kampitsis

In this article, a soft-switched nonisolated high step-up multi-input dc-dc converter is proposed. The proposed converter has overcome the hard switching problem of the conventional boost three port converter (boost-TPC) by providing zero-voltage-switching ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Decentralized and Distributed Transient Control for Microgrids

Alireza Karimi, Christoph Manuel Kammer

This paper treats the problem of primary and secondary control design in low-inertia power grids with mixed lines and a large amount of inverter-interfaced generation. A dynamic phasor model is developed that represents the electromagnetic and electromecha ...

Institute of Electrical and Electronics Engineers2019

Polarization and Spatial Coupling : Two Techniques to Boost Performance

Seyed Hamed Hassani

During the last two decades we have witnessed considerable activity in building bridges between the fields of information theory/communications, computer science, and statistical physics. This is due to the realization that many fundamental concepts and no ...

EPFL2013