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20202026
most citedExplainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions

544 citations

Showing quant-phShow all

17 papers · 1 filter

quant-ph2024★ 10 cited

Satellite image classification with neural quantum kernels

Pablo Rodriguez-Grasa, Robert Farzan-Rodriguez, Gabriele Novelli +2

Achieving practical applications of quantum machine learning for real-world scenarios remains challenging despite significant theoretical progress. This paper proposes a novel appr…

quant-ph2024★ 12 cited

QOPTLib: a Quantum Computing Oriented Benchmark for Combinatorial Optimization Problems

Eneko Osaba, Esther Villar-Rodriguez

In this paper, we propose a quantum computing oriented benchmark for combinatorial optimization. This benchmark, coined as QOPTLib, is composed of 40 instances equally distributed…

quant-ph2024★ 17 cited

Quantum Optimization Methods for Satellite Mission Planning

Antón Makarov, Carlos Pérez-Herradón, Giacomo Franceschetto +5

Satellite mission planning for Earth observation satellites is a combinatorial optimization problem that consists of selecting the optimal subset of imaging requests, subject to co…

quant-ph2023★ 15 cited

Optimizing edge state transfer in a Su-Schrieffer-Heeger chain via hybrid analog-digital strategies

Sebastián V. Romero, Xi Chen, Gloria Platero +1

The Su-Schrieffer-Heeger (SSH) chain, which serves as a paradigmatic model for comprehending topological phases and their associated edge states, plays an essential role in advanci…

quant-ph2023★ 4 cited

Scattering of relativistic electrons and analogies with optical phenomena: A study of longitudinal and transverse shifts at step potentials

Yue Ban, Xi Chen

We investigate the behavior of relativistic electrons encountering a potential step through analogies with optical phenomena. By accounting for the conservation of Dirac current, w…

quant-ph2023★ 7 cited

Photonic counterdiabatic quantum optimization algorithm

Pranav Chandarana, Koushik Paul, Mikel Garcia-de-Andoin +3

We propose a hybrid quantum-classical approximate optimization algorithm for photonic quantum computing, specifically tailored for addressing continuous-variable optimization probl…

quant-ph2023★ 8 cited

Optimization of Image Acquisition for Earth Observation Satellites via Quantum Computing

Antón Makarov, Márcio M. Taddei, Eneko Osaba +3

Satellite image acquisition scheduling is a problem that is omnipresent in the earth observation field; its goal is to find the optimal subset of images to be taken during a given…

quant-ph2023★ 39 cited

Efficient quantum amplitude encoding of polynomial functions

Javier Gonzalez-Conde, Thomas W. Watts, Pablo Rodriguez-Grasa +1

Loading functions into quantum computers represents an essential step in several quantum algorithms, such as quantum partial differential equation solvers. Therefore, the inefficie…

quant-ph2023★ 2 cited

Formulation of the Electric Vehicle Charging and Routing Problem for a Hybrid Quantum-Classical Search Space Reduction Heuristic

M. Garcia de Andoin, A. Bottarelli, S. Schmitt +3

Combinatorial optimization problems have attracted much interest in the quantum computing community in the recent years as a potential testbed to showcase quantum advantage. In thi…

quant-ph2023★ 14 cited

PauliComposer: Compute Tensor Products of Pauli Matrices Efficiently

Sebastián V. Romero, Juan Santos-Suárez

We introduce a simple algorithm that efficiently computes tensor products of Pauli matrices. This is done by tailoring the calculations to this specific case, which allows to avoid…

quant-ph2022★ 6 cited

Time-Optimal Quantum Driving by Variational Circuit Learning

Tangyou Huang, Yongcheng Ding, Léonce Dupays +4

The simulation of quantum dynamics on a digital quantum computer with parameterized circuits has widespread applications in fundamental and applied physics and chemistry. In this c…

quant-ph2022★ 5 cited

Digital Quantum Simulation and Circuit Learning for the Generation of Coherent States

Ruilin Liu, Sebastián V. Romero, Izaskun Oregi +3

Coherent states, known as displaced vacuum states, play an important role in quantum information processing, quantum machine learning,and quantum optics. In this article, two ways…

quant-ph2022★ 13 cited

Comparative Benchmark of a Quantum Algorithm for the Bin Packing Problem

Mikel Garcia-de-Andoin, Izaskun Oregi, Esther Villar-Rodriguez +2

The Bin Packing Problem (BPP) stands out as a paradigmatic combinatorial optimization problem in logistics. Quantum and hybrid quantum-classical algorithms are expected to show an…

quant-ph2022★ 12 cited

A Neural Network Assisted Yb Quantum Magnetometer

Yan Chen, Yue Ban, Ran He +5

A versatile magnetometer must deliver a readable response when exposed to target fields in a wide range of parameters. In this work, we experimentally demonstrate that the combinat…

quant-ph2021★ 15 cited

Mitigating noise in digital and digital-analog quantum computation

Paula García-Molina, Ana Martin, Mikel Garcia de Andoin +1

Noisy Intermediate-Scale Quantum (NISQ) devices lack error correction, limiting scalability for quantum algorithms. In this context, digital-analog quantum computing (DAQC) offers…

quant-ph2021★ 4 cited

Quantum neural networks with multi-qubit potentials

Yue Ban, E. Torrontegui, J. Casanova

We propose quantum neural networks that include multi-qubit interactions in the neural potential leading to a reduction of the network depth without losing approximative power. We…

quant-ph2021★ 13 cited

Digital-analog quantum simulation of fermionic models

Lucas C. Céleri, Daniel Huerga, Francisco Albarrán-Arriagada +3

Simulating quantum many-body systems is a highly demanding task since the required resources grow exponentially with the dimension of the system. In the case of fermionic systems,…