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Quantum computation over the vibrational modes of a single trapped ion
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Continuous-variable quantum computing utilizes continuous parameters of a quantum system to encode information, promising efficient solutions to complex problems. Trapped-ion systems provide a robust platform with long coherence times and precise qubit control, enabling the manipulation of quantum information through its motional and electronic degrees of freedom. In this work, quantum operations that can be generated in trapped-ion systems are employed to investigate applications aimed at state preparation in continuous-variable quantum systems.
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Assessing the Advantages and Limitations of Quantum Neural Networks in Regression Tasks
Quantum neural networks strongly outperform narrow classical networks on smooth function regression, but the advantage depends on comparison design and disappears on discontinuous functions.
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