activity
20182021
most citedNovel Technique for Robust Optimal Algorithmic Cooling

17 citations · 19 across the 2 of their papers we have counts for

collaborators

5 papers

quant-ph20212 cited

Quantum Generative Training Using Rényi Divergences

Maria Kieferova, Ortiz Marrero Carlos, Nathan Wiebe

Quantum neural networks (QNNs) are a framework for creating quantum algorithms that promises to combine the speedups of quantum computation with the widespread successes of machine…

quant-ph2020

Entanglement Induced Barren Plateaus

Carlos Ortiz Marrero, Mária Kieferová, Nathan Wiebe

We argue that an excess in entanglement between the visible and hidden units in a Quantum Neural Network can hinder learning. In particular, we show that quantum neural networks th…

quant-ph201917 cited

Novel Technique for Robust Optimal Algorithmic Cooling

Sadegh Raeisi, Mária Kieferová, Michele Mosca

Heat-bath algorithmic cooling (HBAC) provides algorithmic ways to improve the purity of quantum states. These techniques are complex iterative processes that change from each itera…

quant-ph2018

Quantum Chemistry in the Age of Quantum Computing

Yudong Cao, Jonathan Romero, Jonathan P. Olson +10

Practical challenges in simulating quantum systems on classical computers have been widely recognized in the quantum physics and quantum chemistry communities over the past century…

quant-ph2018

Simulating the dynamics of time-dependent Hamiltonians with a truncated Dyson series

Maria Kieferova, Artur Scherer, Dominic Berry

We provide a general method for efficiently simulating time-dependent Hamiltonian dynamics on a circuit-model based quantum computer. Our approach is based on approximating the tru…