Academic Articles & Research Papers

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 ...

Quantum Computing and Communications

40 years of quantum computing

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...

Prospects of quantum computing for molecular sciences

Abstract Molecular science is governed by the dynamics of electrons and atomic nuclei, and by their interactions with electromagnetic fields. A faithful physicochemical understanding of these processes is crucial for the design and synthesi...

Quantum Computing and AI: Impacts & Possibilities

Quantum computing is one of the emerging technologies. Different communities and research organizations are working to bring quantum computing applications into reality. Artificial Intelligence is another emerging area and getting stable wi...

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...

Quantum Computing Opportunities in Renewable Energy

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 computing with semiconductor spins

Arrays of electrically and magnetically controllable electron-spin qubits can be lithographically fabricated on silicon wafers....

Quantum Computing - An Introduction and Cloud Quantum Computing

Quantum computing uses the phenomena of quantum mechanics to perform operations on data and it’s a huge leap in the field of computation. A quantum computer is a computational device which uses quantum mechanical phenomena like superpositio...

Quantum Communication Complexity of Regularized Linear Regression Protocols

Linear regression is fundamental to statistical analysis and machine learning, but its application to large-scale datasets necessitates distributed computing. The problem also arises in quantum computing, where handling extensive data requi...

Hybrid VQE-CVQE algorithm using diabatic state preparation

We propose a hybrid variational quantum algorithm that has variational parameters used by both the quantum circuit and the subsequent classical optimization. Similar to the variational quantum eigensolver, this algorithm applies a parameter...

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...

Quantum Computation for Jets in Heavy Ion Collisions

Quantum computing has recently emerged as a transformative tool for investigating the real-time dynamics of jets in heavy-ion collisions, offering novel approaches to simulate non-equilibrium processes and strongly coupled phenomena that ar...

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 (...

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 ...

Post-quantum distributed ledger technology: a systematic survey

Abstract Blockchain technology finds widespread application across various fields due to its key features such as immutability, reduced costs, decentralization, and transparency. The security of blockchain relies on elements like hashing, d...

Trichromatic π-Pulse for Ultrafast Total Inversion of a Four-Level Ladder System

We present a numerical solution for complete population inversion in a four-level ladder system obtained by using a full π-pulse illumination scheme with resonant ultrashort phase-locked Gaussian laser pulses. We find that a set of pulse ar...