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13 articles for “quantum error”
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Quantum Error Correction on Cryptography
Abstract: This article introduces novel concepts in quantum error correction and cryptography. It explores “approximate quantum error correction” (AQEC), which relaxes the requirement for perfect error correction in quantum systems. AQEC specializes in creating codes tailored to specific types of noise models. The study establishes a universal, near-optimal recovery map for AQEC, simplifying the identification of effective approximate codes. In the realm of noisy-storage cryptography, the research envisions secure two-party cryptographic …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 18–23 Read article
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Advancements in Quantum Computing: Challenges and Prospects
Abstract: Quantum computing has emerged as a promising field with the potential to revolutionize computation by harnessing the principles of quantum mechanics. In recent years, significant advancements have been made in the development of quantum computers, quantum algorithms, and quantum error correction. However, several challenges still need to be overcome before quantum computing can become a practical and scalable technology.This review article provides a comprehensive overview of the recent advancements in …
Published in Research & Reviews : Journal of Physics · Vol. 12, Issue 1, 2023 · pp. 22–25 Read article
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Advancements, Hurdles, and Applications in Quantum Computing
Abstract: Using the ideas of quantum mechanics, quantum computing has become a paradigm shift in computing, enabling computations to be completed tenfold quicker than with traditional computers. This study investigates the current status of quantum computing, looking at the notable advancements, ongoing difficulties, and potential uses that could completely change a range of industries. By utilizing the principles of superposition and entanglement, quantum computers can potentially solve complex problems that classical …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 2, 2024 · pp. 11–29 Read article
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OS 2.0: Revolutionizing Operating System Architecture for Quantum Computing
Abstract: Quantum computing promises unprecedented processing power by harnessing quantum mechanical phenomena. However, existing operating systems are inadequate for the unique demands of quantum computers. This research proposes OS 2.0, a new operating system architecture tailored for quantum computing. A comprehensive literature review identifies key requirements like managing quantum entanglement and error correction. Evaluation of current operating systems reveals performance limits, lagging fault tolerance, and inability to control quantum interference effects. …
Published in Journal of Operating Systems Development & Trends · Vol. 10, Issue 3, 2023 · pp. 1–6 Read article
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Quantum Key Distribution Based on BB84 Protocol
Abstract: Classical cryptosystem, which is based on mathematical complexity and irrationally time-consuming to decode, is endangered with the inception of quantum computers empowered with unprecedented computational processing along with sophisticated quantum algorithms. Thus requiring quantum cryptography and Quantum Key Distribution (QDK) protocol for secured key distribution. This thesis work contributes to the field of cryptography. First of all, it shows unconditionally secured QKD which is bound by quantum mechanics laws. It …
Published in Journal of Semiconductor Devices and Circuits · Vol. 10, Issue 3, 2024 · pp. 26–32 Read article
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Quasar: Quantum-Accelerated Sustainable Anomaly Recognition in Climate Systems
Abstract: Accurate detection of climate anomalies is vital for disaster alleviation and policy making in a sustainable manner, but customary detection methods face the challenges of computational inefficiency and physical inconsistency. In this study, we propose a novel approach called Quantum-Optimized Fuzzy Physics-Informed Neural Networks (QFuzzy-PINNs), which integrates quantum computing, fuzzy logic, and physics-informed deep learning. As a first step, we employ quantum annealing for conventional optimization to adjust multiple Gaussian …
Published in International Journal of Climate Conditions · Vol. 2, Issue 2, 2025 · pp. 18–27 Read article
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Heisenberg’s Uncertainty Principle as a Criterion of Truth in Science and Philosophy
Abstract: Werner Heisenberg discovered the fundamental uncertainty relation: the simultaneous accurate measurement of the errors of two variables characterizing the two parameters of quantum mechanical system is impossible. The Heisenberg uncertainty principle became one of the cornerstone principles of quantum mechanics and a consequence of the content of wave-particle duality. Another more important interpretation of the uncertainty principle is the following conclusion: the more precisely one characteristic of a quantum mechanical …
Published in Journal of Aerospace Engineering & Technology · Vol. 12, Issue 1, 2022 · pp. 1–7 Read article
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Encryption Mechanism under Prevalent Invasion
Abstract: The digital and computerized era is fast approaching which has increased the amount of data exchanged over the internet. The information transmitted can be accessed by an unauthorized user who can manipulate the data. This fact reveals the need for security mechanisms resulting in various cryptographic algorithms having enhanced protection mechanisms which fulfill the increased demand for security in cyber-attacks and data exploitation. The main goal of these strategies is …
Published in Journal Of Network security · Vol. 9, Issue 2, 2021 · pp. 28–34 Read article
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Design of Fault Tolerant Reversible Comparator
Abstract: Reversible circuits have proved its significance in the synthesis of circuits having their important role in nanotechnology, quantum computing, low power CMOS Design, cryptography and Bioinformatics. The Reversible Gates can be further made more beneficial if they prove themselves to be Fault Tolerant i.e. where errors can be detected and corrected at the same time. This Paper considers parity preserving technique for making Reversible circuits Fault Tolerant. Parity Preserving Gates …
Published in Journal of Semiconductor Devices and Circuits · Vol. 6, Issue 2, 2019 · pp. 13–17 Read article
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Study of an Improved Quantum Particle Swarm Optimization-Based Framework for Neural Network Optimization in Modelling of Polymer Data
Abstract: The accurate forecasting of polymer viscosity at various physicochemical conditions has been quite critical due to the nonlinear interactions and interrelations between the variables. This paper suggests a better hybrid modelling framework, which involves the use of Artificial Neural Networks (ANN) and more advanced versions of Quantum Particle Swarm Optimization (QPSO) to better predict polymer viscosity. The input parameters taken are, namely, log (shear rate), polymer concentration, NaCl concentration, Ca …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 282–297 Read article
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Shot Noise for 1550 nm Laser using Balanced Homodyne Detection
Abstract: AbstractSingle photon detectors are indispensable for secure communication in quantum cryptography. Shot noise, a fundamental limit to photodetection occurs due to discreteness of photons. Shot noise plays an important role in telecommunications and optical science because of its property of setting a practical limit to the signal-to-noise ratios. In order to implement BB84 protocol, there is a need to assess appropriate lower bound on experimental errors caused during secure key …
Published in Research & Reviews : Journal of Physics · Vol. 9, Issue 1, 2020 · pp. 47–50 Read article
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Machine Learning Assisted Optimization of Nanoscale MOSFET Parameters Using TCAD Simulation
Abstract: This paper presents a machine learning (ML) assisted framework for the multi-objective optimization of nanoscale bulk n-channel metal-oxide-semiconductor field-effect transistors (nMOSFETs) with a 10 nm physical gate length, high-k HfO₂ gate dielectric, and TiN metal gate. Technology computer-aided design (TCAD) simulations employing drift-diffusion transport, Shockley-Read-Hall recombination, Lombardi mobility degradation, and density- gradient quantum correction models are used to generate a parametric dataset of 2,400 device configurations spanning gate length (L), …
Published in Journal of Microelectronics and Solid State Devices · Vol. 13, Issue 1, 2026 · pp. 10–19 Read article
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Integrated Computational and Bio-catalytic Transformations: DFT-Guided Mechanistic Insights, Machine Learning, and Nano-biocatalyst Engineering for Sustainable Catalysis
Abstract: Computational catalysis has emerged as a transformative scientific discipline that integrates quantum chemistry, molecular modeling, machine learning, and density functional theory (DFT) to understand catalytic mechanisms and design highly efficient catalytic systems for sustainable industrial applications. The increasing global demand for environmentally responsible chemical manufacturing has accelerated research on advanced catalytic materials including transition metal catalysts, metal–organic frameworks (MOFs), homogeneous catalysts, heterogeneous systems, and bimetallic catalysts involving nickel and iron. …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 2, 2026 · pp. 36–44 Read article