10 citations · 28 across the 5 of their papers we have counts for
6 papers
Neural Networks for Programming Quantum Annealers
Samuel Bosch, Bobak Kiani, Rui Yang +2
Quantum machine learning has the potential to enable advances in artificial intelligence, such as solving problems intractable on classical computers. Some fundamental ideas behind…
Analog quantum variational embedding classifier
Rui Yang, Samuel Bosch, Bobak Kiani +2
Quantum machine learning has the potential to provide powerful algorithms for artificial intelligence. The pursuit of quantum advantage in quantum machine learning is an active are…
Quantum computational finance: martingale asset pricing for incomplete markets
Patrick Rebentrost, Alessandro Luongo, Samuel Bosch +1
A derivative is a financial security whose value is a function of underlying traded assets and market outcomes. Pricing a financial derivative involves setting up a market model, f…
Hamiltonian singular value transformation and inverse block encoding
Seth Lloyd, Bobak T. Kiani, David R. M. Arvidsson-Shukur +5
The quantum singular value transformation is a powerful quantum algorithm that allows one to apply a polynomial transformation to the singular values of a matrix that is embedded a…
Quantum polar decomposition algorithm
Seth Lloyd, Samuel Bosch, Giacomo De Palma +5
The polar decomposition for a matrix is , where is a positive Hermitian matrix and is unitary (or, if is not square, an isometry). This paper shows that the a…
Bell Diagonal and Werner state generation: entanglement, non-locality, steering and discord on the IBM quantum computer
Elias Riedel Gårding, Nicolas Schwaller, Su Yeon Chang +8
We propose the first correct special-purpose quantum circuits for preparation of Bell-diagonal states (BDS), and implement them on the IBM Quantum computer, characterizing and test…