Román Orús

Variational Quantum Non-Orthogonal Optimization

2022 · arXiv (Cornell University)

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 paper we tackle this issue by proposing …

Efficient tensor network simulation of IBM's largest quantum processors

2023 · arXiv (Cornell University)

We show how quantum-inspired 2d tensor networks can be used to efficiently and accurately simulate the largest quantum processors from IBM, namely Eagle (127 qubits), Osprey (433 qubits) and Condor (1121 qubits). We simulate the …

Classical neural networks on quantum devices via tensor network disentanglers: A case study in image classification

2026 · Physical Review Research

We address the problem of implementing bottleneck layers from classical pretrained neural networks on a quantum computer, with the goal of exploring intrinsically quantum ansatz for representing large linear layers within hybrid classical-quantum models. Our …