Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/151206
Title: Quantum data scientist: The new role of the 21st Century
Author: Raigada García, Ricard Santiago  
Abstract: Quantum computing is surpassing the current physical capabilities limited by classical computing, including that of supercomputers, promising significant transformations in various fields in just 5 to 10 years. According to Moore’s law, which marks advances in technology. Fields such as optimization, chemistry, and medicine have been boosted by the many benefits of quantum computing. One of the most promising areas is Quantum Machine Learning (QML), which promises to provide us with faster, more powerful and more reliable algorithms. One of these promises materializes in AWS, where you have access to QuEra–Aquila, which has 256 qubits based on neutral atoms. It may seem like a few qubits, however, consider the case in which 500 of these are available. The number of amplitudes for such a system would exceed the estimated number of atoms in the Universe.
Keywords: quantum data scientist
quantum data science
quantum theory
physical sciences
machine learning
Document type: info:eu-repo/semantics/other
Issue Date: 24-May-2024
Publication license: http://creativecommons.org/licenses/by-nc-nd/3.0/es/  
Appears in Collections:Treballs, papers de recerca

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