Academic Articles & Research Papers

Quantum computing for financial risk measurement

Abstract Quantum computing allows a significant speed-up over traditional CPU- and GPU-based algorithms when applied to particular mathematical challenges such as optimisation and simulation. Despite promising advances and extensive researc...

Quantum machine learning of large datasets using randomized measurements

Quantum computers promise to enhance machine learning for practical applications. Quantum machine learning for real-world data has to handle extensive amounts of high-dimensional data. However, conventional methods for measuring quantum ker...

Advances in materials informatics for tailoring thermal radiation: A perspective review

Materials informatics has emerged as a powerful tool for the discovery, design, and optimization of materials with tailored thermal radiative properties. This perspective review highlights the recent advances in optimization algorithms, inc...

Features of financial management of the media industry in modern conditions

the article discusses the features of financial management of media industry companies. The media industry requires deep planning, effective financing, compliance with the rules of interaction with customers using the main digital ERP funct...

A Quantum-Resistant Authentication and Key Agreement Protocol for Fog-Assisted Vehicular Networks

Fog-based Vehicular Ad Hoc Networks (VANETs) support low-latency services by providing computing resources in close proximity to vehicles, but they also face security threats arising from Fog Node (FN) compromise and advances in quantum com...

Quantum-Resistant Security Technologies for Resource-Constrained Edge Devices: Challenges and Lightweight Countermeasures

With the rapid advancement of quantum computing technology, IoT edge devices widely deployed in industrial settings are facing severe threats to their quantum-resistant security. This work focuses on the challenges of adapting Quantum Key D...

Emulators of Quantum Computers on Qubits and on Qudits

Quantum computing is still a developing, but an extremely promising area. The article lays out the main ideas behind quantum computing in simple terms. The topic of quantum computers based on qudits - multidimensional analogues of qubits, ...

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...