Academic Articles & Research Papers

Application-Oriented Performance Benchmarks for Quantum Computing

In this work we introduce an open source suite of quantum application-oriented performance benchmarks that is designed to measure the effectiveness of quantum computing hardware at executing quantum applications. These benchmarks probe a qu...

Research on password-authenticated key exchange protocol over lattices

With the rapid development of quantum computing technology, password-authenticated key exchange (PAKE) protocol based on conventional difficult problems will face serious security threats in the post-quantum era.Lattice-based cryptosystem h...

Molecular Quantum Dynamics: A Quantum Computing Perspective

ConspectusSimulating molecular dynamics (MD) within a comprehensive quantum framework has been a long-standing challenge in computational chemistry. An exponential scaling of computational cost renders solving the time dependent Schrödinger...

Compiler Design for Distributed Quantum Computing

In distributed quantum computing architectures, with the network and communications functionalities provided by the Quantum Internet, remote quantum processing units can communicate and cooperate for executing computational tasks that singl...

Efficient GPU Implementation of the McMurchie–Davidson Method for Shell-Based ERI Computations

Quantum chemistry offers the formal machinery to derive molecular and physical properties arising from (sub)atomic interactions. However, as molecules of practical interest are largely polyatomic, contemporary approximation schemes such as ...

Exact broadband excitation of two-level systems by mapping spins to springs

Coherent control of two-level systems is crucial for achieving fidelity in spectroscopy and quantum computing, but inherent nonlinearities and parameter variation have, to date, required an approximate, numerical approach. Here, Li et al. s...

The state of quantum computing applications in health and medicine

Abstract Quantum computing hardware and software have made enormous strides over the last years1. Questions around quantum computing’s impact on research and society have changed from “if” to “when/how”. The 2020s have been described as the...

Pegasus: A Framework for Mapping Complex Scientific Workflows onto Distributed Systems

This paper describes the Pegasus framework that can be used to map complex scientific workflows onto distributed resources. Pegasus enables users to represent the workflows at an abstract level without needing to worry about the particulars...

Consistent global states of distributed systems: fundamental concepts and mechanisms

s are available from the same host in the directory /pub/TR/ABSTRACTS in plain text format. All local authors can be reached via e-mail at the address [email protected]. UBLCS Technical Report Series 92-1 Mapping Parallel Computations o...

Cybersecurity

This chapter introduces students to cybersecurity and provides conceptual and methodological foundations for students’ further cybersecurity research. The chapter begins with an initial ‘Explore’ section that introduces the Colonial Pipelin...

Feed-forward neural networks

One critical aspect neural network designers face today is choosing an appropriate network size for a given application. Network size involves in the case of layered neural network architectures, the number of layers in a network, the numbe...

On the Spectral Bias of Neural Networks

Neural networks are known to be a class of highly expressive functions able to fit even random input-output mappings with $100\%$ accuracy. In this work, we present properties of neural networks that complement this aspect of expressivity. ...

Recurrent Neural Networks for Prediction

New technologies in engineering, physics and biomedicine are demanding increasingly complex methods of digital signal processing. By presenting the latest research work the authors demonstrate how real-time recurrent neural networks (RNNs) ...

Intriguing properties of neural networks

Deep neural networks are highly expressive models that have recently achieved state of the art performance on speech and visual recognition tasks. While their expressiveness is the reason they succeed, it also causes them to learn uninterpr...

Neural networks for financial forecasting

When applied to the world of finance, neural networks are automated trading systems, based on mapping inputs and outputs for forecasting probable future values. In Neural Networks for Financial Forecasting - the first book to focus on the r...

Systematic Mapping Studies in Software Engineering

BACKGROUND: A software engineering systematic map is a defined method to build a classification scheme and structure a software engineering field of interest. The analysis of results focuses on frequencies of publications for categories wit...

Gamification in software engineering – A systematic mapping

OFDM AF Variable Gain Relay System for the Next Generation Mobile Cellular

In this paper we present analytical performance evaluation of a dual-hop OFDM amplify-andforward (AF) variable gain (VG) relay system implementing ordered subcarrier mapping (SCM) at the relay station (R), considered to be a very interestin...

A Pythagorean Fuzzy Cognitive Mapping Approach for Iran’s Electricity Sustainability as a Case Study for Developing Economies

Transition to renewable electricity faces diverse challenges, the systemic interdependencies of which are still underexplored. This study applies a Pythagorean Fuzzy Cognitive Map (PFCM) to analyze and prioritize challenges of transitioning...

Dielectric‐Confinement‐Induced in‐Plane Photoelectric Anisotropy in Isotropic Quasi‐1D γ‐GaS Nanoribbon

ABSTRACT The growing demand for polarized photodetection has driven the need for compact, integrated, and multifunctional device architectures. Although one‐dimensional (1D) materials are of significant interest for their innate polarizatio...