Academic Articles & Research Papers

Technological trajectories in quantum computing to design a quantum ecosystem for industrial change

This study develops a technology analysis to detect technological trajectories in quantum computing that can lay the foundation of a quantum industry. Study design considers data of 10,089 scientific products in ‘quantum computing’ over 198...

Quantum computing

Quantum computing operates by manipulating the quantum state of a system to solve problems intractable for classical computing. These problems, previously considered limitations of classical algorithms, have solutions through quantum approa...

Quantum communication and quantum computing

Summary form only given. Quantum mechanics offers the information scientist a new rich resource, which is only recently being tapped to allow for secure communication in the form of quantum cryptography, and for tremendous parallelism in qu...

Universal terminal for cloud quantum computing

Abstract To bring the quantum computing capacities to the personal edge devices, the optimum approach is to have simple non-error-corrected personal devices that offload the computational tasks to scalable quantum computers via edge servers...

Optimizing the Post Quantum Signature Scheme CROSS for Resource Constrained Devices

Post-quantum cryptosystems are currently attracting significant research efforts due to the continuous improvements in quantum computing technologies, which led the National Institute of Standards and Technology (NIST) to open standardizati...

A Hyperring RSA-AES Hybrid Encryption Scheme (HRA-HES): Design, Security Analysis, and Performance Evaluation for Post-Quantum Resilience

The fast growth of quantum computing puts widely used public-key cryptosystems like RSA and Elliptic Curve Cryptography (ECC) at risk because Shor's algorithm can quickly factor integers and find discrete logarithms. Grover’s algorithm simi...

Interplay Between Vertical and Horizontal Schemes of Computation: From Bayesian Inference to Quantum Logic via Gluing Boolean Algebras

Artificial intelligence is typically formulated as an information-processing system composed of artificial neurons, where computation is understood as recursive operations connecting inputs and outputs. However, real neural systems are mate...

Integrating Quantum Computing into De Novo Metabolite Identification

Tandem mass spectrometry (MS/MS) is a widely used technology for identifying metabolites. De novo metabolite identification is an identification strategy that does not refer to any spectral or metabolite database. However, this strategy is ...

Transitioning to a Hyperledger Fabric Quantum-Resistant Classical Hybrid Public Key Infrastructure

This research has two parts; the first is to identify enterprise Hyperledger Fabric (HLF) blockchain cybersecurity vulnerabilities, threats, and legal obligations in a Post-Quantum Cryptography (PQC) world. HLF is a permissioned blockchain ...

Optical quantum computing

Quantum computing offers a much more efficient way of computation than its classical counterpart, due to the specific characters in quantum mechanics. To realize quantum computers, one must find a specific physical system as a platform. Ava...

Quantum computing based on semiconductor nanowires

Quantum Computing

Quantum computers can bring about development in various fields like science and medicine that could save lives. Quantum computing can be instrumental in the advancement of machine learning so that illness can be diagnosed very quickly. Wit...

Quantum Computing

The book Quantum Computing provides an all-encompassing look at the possibilities of Quantum Computing in a wide range of fields. Readers will get a better understanding of how this cutting-edge technology facilitates agility and change in ...

Evolution of Quantum Computing: Theoretical and Innovation Management Implications for Emerging Quantum Industry

Quantum computing is a vital research field in science and technology. One of the fundamental questions hardly known is how quantum computing research is developing to support scientific advances and the evolution of path-breaking technolog...

Quantum computing applications for Internet of Things

Abstract The rapidly developing discipline of quantum computing (QC) employs ideas from quantum physics to improve the performance of traditional computers and other devices. Because of the dramatically improved speed at which it processes ...

Ensemble quantum computing by NMR spectroscopy

A quantum computer (QC) can operate in parallel on all its possible inputs at once, but the amount of information that can be extracted from the result is limited by the phenomenon of wave function collapse. We present a new computational m...

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...

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...

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...

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...