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Steven Herbert
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Elena Yndurain
2025-01-23T20:55:57Z
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Abstract: Quantum AI Revolution: The Future of Intelligent Computing explores the convergence of quantum computing and artificial intelligence, offering a comprehensive analysis of how quantum principles are transforming machine learning, optimization, and dec…
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Murali Krishna Pasupuleti
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Quantum computing is an emerging paradigm that leverages the principles of quantum mechanics to solve computational problems beyond the reach of classical computers. This article provides an overview of the fundamental concepts of qubits, the distinctive featu…
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Quantum computers can be considered as a natural means for performing machine learning tasks for inherently quantum labeled data. Many quantum machine learning techniques have been developed for solving classification problems, such as distinguishing between p…
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Abstract The introduction to quantum computing foundations and practice motivates why quantum mechanics provides a model of computation that one should care about, and outlines the most important results in the field of quantum computing. In particular, the in…
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We explore the use of classical programming techniques in implementing the quantum lattice Boltzmann method in the Intel Quantum SDK—a software tool for quantum circuit creation and execution on Intel quantum hardware. As hardware access is limited, we use the…
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crossref
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Abstract Research and usage of artificial intelligence, particularly generative and large language models, have rapidly progressed over the last years. This has, however, given rise to issues due to high energy consumption. While quantum computing is not (yet)…
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Abstract Julian Fletcher, Lead Business Architect at the UK Health Security Agency, provides some recommended starting points and tips for understanding quantum computing.
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We review recent experimental advances in non-equilibrium quantum materials, focusing on current- and light-driven systems, transient and metastable phases, and non-equilibrium steady states. Emphasis is placed on current-driven phases and photoinduced control…
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This Study explores the logical aspects of quantum computation through a detailed analysis of key performance parameters, including qubit number, gate depth, entanglement rate, and logical error rate. Using a dataset of 50 quantum circuit observations, we inve…
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<span>The rise of quantum computing poses a serious threat to current cryptographic systems, especially in telecom networks that rely on secure data transmission. As quantum computers become increasingly capable, traditional encryption methods like RSA a…
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2025-02-14T08:57:17Z
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Recently, Cai [ 3 ] showed that Shor’s quantum factoring algorithm fails to factor large integers when algorithm’s quantum Fourier transform (QFT) is corrupted by a vanishing level of random noise on the QFT’s precise controlled rotation gates. We show that un…
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2025-05-17T11:06:26Z
置信度 0.70
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Recent advances in quantum computing have brought us closer to realizing the potential of this transformative technology. While significant strides have been made in quantum error correction, many challenges persist, particularly in the realm of noise and scal…
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Quantum Error Correction (QEC) is essential for overcoming the fragility of qubits, enabling reliable and scalable quantum computing by mitigating the effects of noise, decoherence, and operational errors. This chapter explores QEC's foundational principles, i…
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