7 search results for “quantum machine learning” in the Public website
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Hybrid Quantum-Classical Metaheuristics for Automated Machine Learning Applications
This thesis investigates how quantum, quantum-inspired, and hybrid quantum-classical computation can enhance key points of the automated machine learning (AutoML) pipeline under the constraints of noisy intermediate-scale quantum (NISQ) devices.
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Separating quantum and classical computing: rigorous proof and practical application
This thesis probes under what conditions quantum computing presents an advantage over classical computing.
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Capturing dynamics with noisy quantum computers
Quantum computing represents a fundamentally new computational paradigm, capable of addressing problems that are intractable for classical computers.
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Rahul Bandyopadhyayr.bandyopadhyay@liacs.leidenuniv.nl | 071 5272727
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European grant to advance self-learning capabilities of quantum computers
A major grant for research into machine learning algorithms for quantum computers. With this ERC Consolidator grant, Vedran Dunjko and his colleagues hope to discover which real-world problems a quantum computer can solve faster than a normal one.
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Quantum research in two ways: from proving someone's location to simulating financial markets
Kirsten Kanneworff and David Dechant defend their PhD research on quantum physics at Leiden University. Fundamental work with applications in location verification and the financial world.
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The quantum computer: it doesn't exist yet, but still we understand increasingly better what problems it can solve
How do we know what a quantum computer is good for when it hasn't been built yet? That's what PhD candidate Casper Gyurik investigated by combining two terms you often hear: quantum computing and machine learning.