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09/29/2022
On Symmetric Pseudo-Boolean Functions: Factorization, Kernels and Applications
A symmetric pseudo-Boolean function is a map from Boolean tuples to real...
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07/06/2022
Tensor networks in machine learning
A tensor network is a type of decomposition used to express and approxim...
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06/20/2022
Quantum machine learning channel discrimination
In the problem of quantum channel discrimination, one distinguishes betw...
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04/04/2022
Experimental quantum adversarial learning with programmable superconducting qubits
Quantum computing promises to enhance machine learning and artificial in...
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11/20/2020
On barren plateaus and cost function locality in variational quantum algorithms
Variational quantum algorithms rely on gradient based optimization to it...
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09/21/2020
On the Theory of Modern Quantum Algorithms
This dissertation unites variational computation with results and techni...
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06/23/2020
Self-learning eigenstates with a quantum processor
Solutions to many-body problem instances often involve an intractable nu...
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05/01/2020
Variational Quantum Eigensolver for Frustrated Quantum Systems
Hybrid quantum-classical algorithms have been proposed as a potentially ...
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06/24/2019
Machine Learning Phase Transitions with a Quantum Processor
Machine learning has emerged as a promising approach to study the proper...
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04/11/2019
Experimental neural network enhanced quantum tomography
Quantum tomography is currently ubiquitous for testing any implementatio...
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04/06/2018