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03/29/2023
Quantum Deep Hedging
Quantum machine learning has the potential for a transformative impact a...
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03/26/2023
Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels
A quantum neural network (QNN) is a parameterized mapping efficiently im...
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11/29/2022
Numerical evidence against advantage with quantum fidelity kernels on classical data
Quantum machine learning techniques are commonly considered one of the m...
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05/25/2022
A Convergence Theory for Over-parameterized Variational Quantum Eigensolvers
The Variational Quantum Eigensolver (VQE) is a promising candidate for q...
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09/09/2021
Quantum Machine Learning for Finance
Quantum computers are expected to surpass the computational capabilities...
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12/11/2020
Sublinear classical and quantum algorithms for general matrix games
We investigate sublinear classical and quantum algorithms for matrix gam...
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04/02/2020
On the Principles of Differentiable Quantum Programming Languages
Variational Quantum Circuits (VQCs), or the so-called quantum neural-net...
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10/31/2019
Quantum Wasserstein Generative Adversarial Networks
The study of quantum generative models is well-motivated, not only becau...
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08/11/2019
Quantum algorithm for estimating volumes of convex bodies
Estimating the volume of a convex body is a central problem in convex ge...
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04/04/2019
Sublinear quantum algorithms for training linear and kernel-based classifiers
We investigate quantum algorithms for classification, a fundamental prob...
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09/04/2018
