Academic Articles & Research Papers

Multimodal deep learning for automated atomic qubits fabrication in silicon

Donor-based spin qubits in silicon are a promising platform for scalable quantum computing due to their long coherence times and high-fidelity gate operations. A viable path for fabricating donor qubit arrays with atomic precision is scanni...

Optimization Strategies in Quantum Machine Learning: A Performance Analysis

This study presents a comprehensive comparison of multiple optimization algorithms applied to a quantum classification model, utilizing the Cleveland dataset. Specifically, the research focuses on three prominent optimizers—COBYLA, L-BFGS-B...

Quantum Circuit for Imputation of Missing Data

The imputation of missing data is a common procedure in data analysis that consists in predicting missing values of incomplete data points. In this work, we analyze a variational quantum circuit for the imputation of missing data. We constr...

What Business Managers Should Know About Quantum Computing?

Business management requires rapid reactions to the changes of business environment effectively. Given quantum computing’s game-changing power will bring huge transformation, therefore managers should be aware of how to take the advantage...

Confining single Er3+ ions in sub-3 nm NaYF4 nanoparticles to induce slow relaxation of the magnetisation

Abstract Molecular systems known as single-molecule magnets (SMMs) exhibit magnet-like behaviour of slow relaxation of the magnetisation and magnetic hysteresis and have potential application in high-density memory storage or quantum comput...

QEKI: A Quantum–Classical Framework for Efficient Bayesian Inversion of PDEs

Solving Bayesian inverse problems efficiently stands as a major bottleneck in scientific computing. Although Bayesian Physics-Informed Neural Networks (B-PINNs) have introduced a robust way to quantify uncertainty, the high-dimensional para...

Approaching the Quantum Limit in Axion Detection at IBS-CAPP and IBS-DMAG

We present the development of two complementary amplifier architectures for axion haloscope experiments, based on two types of Josephson Parametric Amplifiers (JPAs). The first employs a multi-chip module of flux-driven JPAs in a parallel–s...

Adaptive low-rank variational quantum algorithm for simulating dissipative dynamics in photosynthetic complexes

Abstract Simulating open quantum system dynamics via exact density-matrix propagation faces exponential complexity, scaling as $$\mathcal{O}(4^n)$$ and becoming intractable beyond approximately 15 chromophores on classical hardware—despite ...

Robust Resistive Switching Constancy and Quantum Conductance in High-k Dielectric-Based Memristor for Neuromorphic Engineering

Abstract For neuromorphic computing and high-density data storage memory, memristive devices have recently gained a lot of interest. So far, memristive devices have suffered from switching parameter instability, such as distortions in resis...

Quantum computing

Quantum computing offers the potential for compelling performance improvement on important high performance computing applications such as the simulation of materials and chemical systems. In constructing a full-stack quantum computing syst...

Quantum Computing Challenges

A Survey on Quantum Computing for Internet of Things Security

Quantum computing, based on quantum mechanical principle, can potentially provide significant advantages over classical computing. This advantage of quantum computing provides solutions to many previously unsolvable problems in secure commu...

Quantum Computing

Quantum computing is an emerging field that utilizes quantum mechanics to process information in ways other than classical computers. First, this chapter provides an overview of the fundamental definitions and concepts for quantum computing...

A NASA perspective on quantum computing: Opportunities and challenges

Quantum Computing

Quantum Computing

Abstract This article presents very basic concepts concerning quantum information processing and deals with the main areas of quantum computation: quantum algorithms, quantum automata, quantum computational complexity, and quantum error‐cor...

Efficient fault-tolerant quantum computing

Perspectives of quantum computing for chemical engineering

Abstract Quantum computing has been attracting public attention recently. This interest is driven by the advancements in hardware, software, and algorithms required for its successful usage and the promise that it entails the potential acce...

Tensor networks for quantum computing

Quantum logic as motivated by quantum computing

§1. Introduction. Our understanding of Nature comes in layers, so should the development of logic. Classic logic is an indispensable part of our knowledge, and its interactions with computer science have recently dramatically changed our li...