Academic Articles & Research Papers

The Role and Application of Matrices in Artificial Intelligence: Foundations, Methods, and Advancements

Matrices are foundational to artificial intelligence (AI), serving as critical tools for data representation, manipulation, and transformation across various applications. From machine learning algorithms to neural network architectures, ma...

Finding spin glass ground states using quantum walks

Quantum computation using continuous-time evolution under a natural hardware Hamiltonian is a promising near- and mid-term direction toward powerful quantum computing hardware. We investigate the performance of continuous-time quantum walks...

Quantum Computing for High-Energy Physics: State of the Art and Challenges

Quantum computers offer an intriguing path for a paradigmatic change of computing in the natural sciences and beyond, with the potential for achieving a so-called quantum advantage—namely, a significant (in some cases exponential) speedup o...

Quantum computing and hidden variables

This paper initiates the study of hidden variables from a quantum computing perspective. For us, a hidden-variable theory is simply a way to convert a unitary matrix that maps one quantum state to another into a stochastic matrix that maps ...

Distributed quantum computing

Quantum computing and distributed systems may enter a mutually beneficial partnership in the future. On the one hand, it is much easier to build a number of small quantum computers rather than a single large one. On the other hand, the best...

The Path to Scalable Distributed Quantum Computing

Researchers are fabricating quantum processors powerful enough to execute small instances of quantum algorithms. Scalability concerns are motivating distributed-memory multicomputer architectures, and experimental efforts have demonstrated ...

Quantum Structure for Modelling Emotion Space of Robots

Utilising the properties of quantum mechanics, i.e., entanglement, parallelism, etc., a quantum structure is proposed for representing and manipulating emotion space of robots. This quantum emotion space (QES) provides a mechanism to extend...

CsPbBr3/graphene nanowall artificial optoelectronic synapses for controllable perceptual learning

Abstract The rapid development of neuromorphic computing has stimulated extensive research interest in artificial synapses. Optoelectronic artificial synapses using laser beams as stimulus signals have the advantages of broadband, fast resp...

Noise-augmented chaotic Ising machines for combinatorial optimization and sampling

Abstract Ising machines are hardware accelerators for combinatorial optimization and probabilistic sampling, using stochasticity to explore spin configurations and avoid local minima. We refine the previously proposed coupled chaotic bits (...

Reversible Computing: Fundamentals, Quantum Computing, and Applications

Written by one of the few top internationally recognized experts in the field, this book concentrates on those topics that will remain fundamental, such as low power computing, reversible programming languages, and applications in thermodyn...

Quantum Computing

Quantum computing overcomes computer limitations using quantum mechanics. This overview covers quantum computing's basics, technology, architecture, and industrial applications. The introduction reveals quantum computing's unique history an...

Quantum Computing

Have you ever tried to retrieve that forgotten key code for your suitcase? After one year without traveling, many of us found themselves having forgotten the combination and manually trying all permutations. The same situation, but more com...

Approaching quantum computing

1 Preface 2 Introduction 2.1 Computing and the Laws of Physics 2.2 Quantum Information 2.3 Quantum Computers 2.4 The Wave and the Corpuscular Nature of Light 2.5 Deterministic versus Probabilistic Photon Behavior 2.6 State Description, Supe...

Reflections on quantum computing

In this rather speculative note three problems pertaining to the power and limits of quantum computing are posed and partially answered: (a) when are quantum speedups possible? (b) is fixed-point computing a better model for quantum computi...

Quantum computing for smart grid applications

Abstract Computational complexities in modern power systems are reportedly increasing daily, and it is anticipated that traditional computers might be inadequate to provide the computation prerequisite in future complex power grids. In that...

Quantum Computing and Algorithmic Law

Quantum computing technology will greatly enhance the abilities of the emerging field of computational law to express, model, and operationalise law in algorithmic form. Foreshadowing the harnessing of the power of quantum computing technol...

Review of Distributed Quantum Computing: From single QPU to High Performance Quantum Computing

The emerging field of quantum computing has shown it might change how we process information by using the unique principles of quantum mechanics . As researchers continue to push the boundaries of quantum technologies to unprecedented level...

Introduction to Quantum Computing

Quantum computing is a modern way of computing that is based on the science of quantum mechanics and its unbelievable phenomena. It is a beautiful combination of physics, mathematics, computer science and information theory. It provides hig...

Quantum computing: The power of discord

Transforming research with quantum computing

Quantum computing is a novel method of computation that uses the principles of quantum mechanics to handle highly challenging situations in a very short amount of time. Quantum technology has the ability to significantly impact worldwide ad...