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20202022
most citedLearning Unitaries by Gradient Descent

33 citations · 93 across the 6 of their papers we have counts for

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quant-ph20212 cited

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…

quant-ph202024 cited

Quantum algorithm for nonlinear differential equations

Seth Lloyd, Giacomo De Palma, Can Gokler +5

Quantum computers are known to provide an exponential advantage over classical computers for the solution of linear differential equations in high-dimensional spaces. Here, we pres…

quant-ph20208 cited

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…

quant-ph202023 cited

Quantum Medical Imaging Algorithms

Bobak Toussi Kiani, Agnes Villanyi, Seth Lloyd

A central task in medical imaging is the reconstruction of an image or function from data collected by medical devices (e.g., CT, MRI, and PET scanners). We provide quantum algorit…

quant-ph202033 cited

Learning Unitaries by Gradient Descent

Bobak Toussi Kiani, Seth Lloyd, Reevu Maity

We study the hardness of learning unitary transformations in via gradient descent on time parameters of alternating operator sequences. We provide numerical evidence that, d…