Shadows of quantum machine learning von Jerbi, Sofiene, Gyurik, Casper, Marshall, Simon C., Molteni, Riccardo, Dunjko, Vedran

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Towards quantum advantage via topological data analysis von Gyurik, Casper, Cade, Chris, Dunjko, Vedran

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Structural risk minimization for quantum linear classifiers von Gyurik, Casper, Vreumingen, van, Dyon, Dunjko, Vedran

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High Dimensional Quantum Machine Learning With Small Quantum Computers von Marshall, Simon C., Gyurik, Casper, Dunjko, Vedran

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Analyzing Prospects for Quantum Advantage in Topological Data Analysis von Berry, Dominic W., Su, Yuan, Gyurik, Casper, King, Robbie, Basso, Joao, Barba, Alexander Del Toro, Rajput, Abhishek, Wiebe, Nathan, Dunjko, Vedran, Babbush, Ryan

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High Dimensional Quantum Machine Learning With Small Quantum Computers von Marshall, Simon C, Casper Gyurik, Dunjko, Vedran

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Towards quantum advantage via topological data analysis von Casper Gyurik, Cade, Chris, Dunjko, Vedran

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Shadows of quantum machine learning von Jerbi, Sofiene, Casper Gyurik, Marshall, Simon C, Molteni, Riccardo, Dunjko, Vedran

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Structural risk minimization for quantum linear classifiers von Casper Gyurik, Dyon van Vreumingen, Dunjko, Vedran

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Analyzing Prospects for Quantum Advantage in Topological Data Analysis von Berry, Dominic W, Su, Yuan, Casper Gyurik, King, Robbie, Basso, Joao, Alexander Del Toro Barba, Rajput, Abhishek, Wiebe, Nathan, Dunjko, Vedran, Ryan Babbush

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Exponential separations between classical and quantum learners von Gyurik, Casper, Dunjko, Vedran

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On establishing learning separations between classical and quantum machine learning with classical data von Gyurik, Casper, Dunjko, Vedran

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On Bounded Advice Classes von Marshall, Simon, Gyurik, Casper, Dunjko, Vedran

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Exponential quantum advantages in learning quantum observables from classical data von Molteni, Riccardo, Gyurik, Casper, Dunjko, Vedran

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Exponential separations between classical and quantum learners von Casper Gyurik, Dunjko, Vedran

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Limitations of measure-first protocols in quantum machine learning von Gyurik, Casper, Molteni, Riccardo, Dunjko, Vedran

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High dimensional quantum machine learning with small quantum computers von Marshall Simon C., Gyurik Casper, Dunjko Vedran

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Quantum computing and persistence in topological data analysis von Gyurik, Casper, Schmidhuber, Alexander, King, Robbie, Dunjko, Vedran, Hayakawa, Ryu

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On the relation between trainability and dequantization of variational quantum learning models von Gil-Fuster, Elies, Gyurik, Casper, Pérez-Salinas, Adrián, Dunjko, Vedran

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On establishing learning separations between classical and quantum machine learning with classical data von Casper Gyurik, Dunjko, Vedran

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