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20172025
most citedDynamic Portfolio Optimization with Real Datasets Using Quantum Processors and Quantum-Inspired Tensor Networks

127 citations

Showing 2022Show all

5 papers · 1 filter

cond-mat.dis-nn2022★ 8 cited

Variational Tensor Neural Networks for Deep Learning

Saeed S. Jahromi, Roman Orus

Deep neural networks (NNs) encounter scalability limitations when confronted with a vast array of neurons, thereby constraining their achievable network depth. To address this chal…

cond-mat.str-el2022★ 8 cited

Dissipative Symmetry-Protected Topological Order

Luan M. Veríssimo, Marcelo L. Lyra, Roman Orus

In this work, we investigate the interplay between dissipation and symmetry-protected topological order. We considered the one-dimensional spin-1 Affleck-Kennedy-Lieb-Tasaki model…

cond-mat.str-el2022★ 32 cited

Universal features of entanglement entropy in the honeycomb Hubbard model

Jonathan D'Emidio, Roman Orus, Nicolas Laflorencie +1

The entanglement entropy is a unique probe to reveal universal features of strongly interacting many-body systems. In two or more dimensions these features are subtle, and detectin…

quant-ph2022★ 7 cited

Variational Quantum Non-Orthogonal Optimization

Pablo Bermejo, Roman Orus

Current universal quantum computers have a limited number of noisy qubits. Because of this, it is difficult to use them to solve large-scale complex optimization problems. In this…

quant-ph2022★ 3 cited

Multi-disk clutch optimization using quantum annealing

John D. Malcolm, Alexander Roth, Mladjan Radic +5

In this work, we develop a new quantum algorithm to solve a combinatorial problem with significant practical relevance occurring in clutch manufacturing. It is demonstrated how qua…