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WALDEMIR
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CAMBIUCCI
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Quantum computing stands at the forefront of technological innovation, promising to revolutionize fields ranging from cryptography to material science by leveraging the unique properties of quantum mechanics. Central to the advancement of quantum computing is the development of efficient and scalable quantum circuits, which serve as the fundamental building blocks for quantum algorithms. Traditional static quantum circuits, while powerful, often face limitations in flexibility and efficiency, particularly as the complexity of quantum algorithms increases.
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As quantum computing advances, there is a growing need for sophisticated computational methods that efficiently leverage quantum resources. This paper investigates the integration of adaptive quantum circuits with the Variational Quantum Eigensolver (VQE) algorithm, proposing Adaptive VQE as an enhanced approach for dynamically constructing quantum ansätze.
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Quantum computing holds the promise of revolutionizing the way we solve complex problems by harnessing the principles of quantum mechanics. However, current noisy intermediate-scale quantum (NISQ) computers face significant limitations due to their small number of qubits and high error rates, making it challenging to execute large quantum circuits that require greater depth, size, or width.
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