Quantum Gate
Quantum gates are fundamental building blocks of quantum computers, enabling the manipulation of quantum information to perform computations beyond the capabilities of classical computers. Current research focuses on optimizing gate designs for efficiency and minimizing errors, exploring novel architectures like digital-analog combinations and investigating the use of quantum gates within machine learning algorithms such as quantum neural networks and variational quantum eigensolvers. These advancements are crucial for developing practical quantum algorithms and improving the performance of near-term quantum devices, impacting fields ranging from optimization problems to materials science.
Papers
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