Related references
Note: Only part of the references are listed.
Review
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Summary: Quantum computing is an emerging field that utilizes quantum-mechanical principles to provide computational advantages in solving complex problems. Recent progress in quantum hardware and software has brought quantum computing closer to reality. However, challenges such as quantum decoherence and qubit interconnectivity need to be addressed in order to achieve quantum advantage in the Noisy Intermediate Scale Quantum era. A systematic review of the existing literature and identification of research gaps are important for further advancements in quantum computing.
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(2022)
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PHYSICAL REVIEW LETTERS
(2021)
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Summary: The paper introduces a method for running AIMD simulations on NISQ-era quantum computers, utilizing numerical calculation of energy gradients and correlated sampling technique with additional classical computations. The method has been successfully demonstrated for the H2 molecule on IBM quantum devices, and shown to be valid for larger molecules using full configuration interaction wave functions as quantum hardware and noise mitigation techniques improve.
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R. R. Ferguson et al.
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Proceedings Paper
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Gheorghe M. Stefan
Summary: Gordon Moore's predictions encompass device resolution, chip size, and circuit complexity. In the field of integrated circuits, considering Moore's law in its entirety offers a more complex perspective on evolution. General-Purpose Technology like computers may be replaced by various accelerators. One possible solution presented is based on parallelism supported by a recursive abstract model derived from Stephen Kleene's model of partially recursive functions.
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