127 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Donostia International Physics CenterES28 papers
- IkerbasqueES28 papers
- University of the Basque CountryES6 papers
- Compute CanadaCA3 papers
- Johannes Gutenberg University MainzDE3 papers
- Universidad de NavarraES3 papers
- Centre for Electrochemical TechnologiesES2 papers
- Centre for Social InnovationCA2 papers
- Friedrich-Alexander-Universität Erlangen-NürnbergDE2 papers
- Institute for Advanced Studies in Basic SciencesIR2 papers
- IQM (Germany)DE2 papers
- Shanghai UniversityCN2 papers
31 papers
Classical Neural Networks on Quantum Devices via Tensor Network Disentanglers: A Case Study in Image Classification
Borja Aizpurua, Sukhbinder Singh, Román Orús
We address the problem of implementing bottleneck layers from classical pre-trained neural networks on a quantum computer, with the goal of exploring intrinsically quantum ansatz f…
Limitations of Quantum Hardware for Molecular Energy Estimation Using VQE
Abel Carreras, David Casanova, Román Orús
Variational quantum eigensolvers (VQEs) are among the most promising quantum algorithms for solving electronic structure problems in quantum chemistry, particularly during the Nois…
Projected Entangled Pair States with flexible geometry
Siddhartha Patra, Sukhbinder Singh, Román Orús
Projected Entangled Pair States (PEPS) are a class of quantum many-body states that generalize Matrix Product States for one-dimensional systems to higher dimensions. In recent yea…
Categorical Quantum Volume Operator
Alexander Hahn, Sebastian Murk, Sukhbinder Singh +1
We present a generalization of the quantum volume operator quantifying the volume in curved three-dimensional discrete geometries. In its standard form, the quantum volume operator…
Quantum-inspired clustering with light
Miguel Varga, Pablo Bermejo, Rubén Pellicer-Guridi +2
This article introduces a novel approach to perform the simulation of a single qubit quantum algorithm using laser beams. Leveraging the polarization states of photonic qubits, and…
Image Classification with Rotation-Invariant Variational Quantum Circuits
Paul San Sebastian, Mikel Cañizo, Román Orús
Variational quantum algorithms are gaining attention as an early application of Noisy Intermediate-Scale Quantum (NISQ) devices. One of the main problems of variational methods lie…
Physically motivated improvements of Variational Quantum Eigensolvers
Nonia Vaquero-Sabater, Abel Carreras, Román Orús +2
The Adaptive Derivative-Assembled Pseudo-Trotter Variational Quantum Eigensolver (ADAPT-VQE) has emerged as a pivotal promising approach for electronic structure challenges in quan…
Capturing long-range memory structures with tree-geometry process tensors
Neil Dowling, Kavan Modi, Roberto N. Muñoz +2
We introduce a class of quantum non-Markovian processes -- dubbed process trees -- that exhibit polynomially decaying temporal correlations and memory distributed across time scale…
Hacking Cryptographic Protocols with Advanced Variational Quantum Attacks
Borja Aizpurua, Pablo Bermejo, Josu Etxezarreta Martinez +1
Here we introduce an improved approach to Variational Quantum Attack Algorithms (VQAA) on crytographic protocols. Our methods provide robust quantum attacks to well-known cryptogra…
Efficient tensor network simulation of IBM's largest quantum processors
Siddhartha Patra, Saeed S. Jahromi, Sukhbinder Singh +1
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 q…
Decoding algorithms for surface codes
Antonio deMarti iOlius, Patricio Fuentes, Román Orús +2
Quantum technologies have the potential to solve certain computationally hard problems with polynomial or super-polynomial speedups when compared to classical methods. Unfortunatel…
Improving Gradient Methods via Coordinate Transformations: Applications to Quantum Machine Learning
Pablo Bermejo, Borja Aizpurua, Roman Orus
Machine learning algorithms, both in their classical and quantum versions, heavily rely on optimization algorithms based on gradients, such as gradient descent and alike. The overa…
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…
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…
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…
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…
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…
Kitaev honeycomb antiferromagnet in a field: quantum phase diagram for general spin
Saeed S. Jahromi, Max Hörmann, Patrick Adelhardt +4
We combine tensor-network approaches and high-order linked-cluster expansions to investigate the quantum phase diagram of the antiferromagnetic Kitaev's honeycomb model in a magnet…
Hybrid Quantum Investment Optimization with Minimal Holding Period
Samuel Mugel, Mario Abad, Miguel Bermejo +3
In this paper we propose a hybrid quantum-classical algorithm for dynamic portfolio optimization with minimal holding period. Our algorithm is based on sampling the near-optimal po…
Thermodynamics of 3D Kitaev quantum spin liquids via tensor networks
Saeed S. Jahromi, Hadi Yarloo, Roman Orus
We study the 3D Kitaev and Kitaev-Heisenberg models respectively on the hyperhoneycomb and hyperoctagon lattices, both at zero and finite-temperature, in the thermodynamic limit. O…
Forecasting Election Polls with Spin Systems
Ruben Ibarrondo, Mikel Sanz, Roman Orus
We show that the problem of political forecasting, i.e, predicting the result of elections and referendums, can be mapped to finding the ground state configuration of a classical s…
Dynamic Portfolio Optimization with Real Datasets Using Quantum Processors and Quantum-Inspired Tensor Networks
Samuel Mugel, Carlos Kuchkovsky, Escolastico Sanchez +4
In this paper we tackle the problem of dynamic portfolio optimization, i.e., determining the optimal trading trajectory for an investment portfolio of assets over a period of time,…
Benchmarking global symmetry in 2d tensor network algorithms
Philipp Schmoll, Roman Orus
We implement and benchmark tensor network algorithms with symmetry for systems in two spatial dimensions and in the thermodynamic limit. Specifically, we implement -…
Thermal bosons in 3d optical lattices via tensor networks
Saeed S. Jahromi, Roman Orus
Ultracold atoms in optical lattices are one of the most promising experimental setups to simulate strongly correlated systems. However, efficient numerical algorithms able to bench…