122 citations · 561 across the 37 of their papers we have counts for
13 papers · 1 filter
Scaling advantage with quantum-enhanced memetic tabu search for LABS
Alejandro Gomez Cadavid, Pranav Chandarana, Sebastián V. Romero +4
We introduce quantum-enhanced memetic tabu search (QE-MTS), a non-variational hybrid algorithm that achieves state-of-the-art scaling for the low-autocorrelation binary sequence (L…
Digitized Counterdiabatic Quantum Sampling
Narendra N. Hegade, Nachiket L. Kortikar, Balaganchi A. Bhargava +9
We propose digitized counterdiabatic quantum sampling (DCQS), a hybrid quantum-classical algorithm for efficient sampling from energy-based models, such as low-temperature Boltzman…
Quantum Combinatorial Reasoning for Large Language Models
Carlos Flores-Garrigos, Gaurav Dev, Michael Falkenthal +5
We design and implement a quantum combinatorial reasoning framework for large language models (QCR-LLM), integrating a real quantum computer in the hybrid workflow. QCR-LLM reformu…
Analog Quantum Feature Selection with Neutral-Atom Quantum Processors
Jose J. Orquin-Marques, Carlos Flores-Garrigos, Alejandro Gomez Cadavid +5
We present a quantum-native approach to quantum feature selection (QFS) based on analog quantum simulation with neutral atom arrays, adaptable to a variety of academic and industri…
Digitized Counterdiabatic Quantum Feature Extraction
Anton Simen, Carlos Flores-Garrigós, Murilo Henrique De Oliveira +6
We introduce a Hamiltonian-based quantum feature extraction method that generates complex features via the dynamics of -local many-body spins Hamiltonians, enhancing machine lea…
Hybrid Sequential Quantum Computing
Pranav Chandarana, Sebastián V. Romero, Alejandro Gomez Cadavid +3
We introduce hybrid sequential quantum computing (HSQC), a paradigm for combinatorial optimization that systematically integrates classical and quantum methods within a structured,…
Quenched Quantum Feature Maps
Anton Simen, Carlos Flores-Garrigos, Murilo Henrique De Oliveira +9
We propose a quantum feature mapping technique that leverages the quench dynamics of a quantum spin glass to extract complex data patterns at the quantum-advantage level for academ…
Sequential Quantum Computing
Sebastián V. Romero, Alejandro Gomez Cadavid, Enrique Solano +1
We propose and experimentally demonstrate sequential quantum computing (SQC), a paradigm that utilizes multiple homogeneous or heterogeneous quantum processors in hybrid classical-…
Protein folding with an all-to-all trapped-ion quantum computer
Sebastián V. Romero, Alejandro Gomez Cadavid, Pavle Nikačević +8
We experimentally demonstrate that the bias-field digitized counterdiabatic quantum optimization (BF-DCQO) algorithm, implemented on IonQ's fully connected trapped-ion quantum proc…
Runtime Quantum Advantage with Digital Quantum Optimization
Pranav Chandarana, Alejandro Gomez Cadavid, Sebastián V. Romero +3
We demonstrate experimentally that the bias-field digitized counterdiabatic quantum optimization (BF-DCQO) algorithm on IBM's 156-qubit devices can outperform simulated annealing (…
Branch-and-bound digitized counterdiabatic quantum optimization
Anton Simen, Sebastián V. Romero, Alejandro Gomez Cadavid +2
Branch-and-bound algorithms effectively solve combinatorial optimization problems, relying on the relaxation of the objective function to obtain tight lower bounds. While this is s…
Quantum Optimization Benchmarking Library - The Intractable Decathlon
Thorsten Koch, David E. Bernal Neira, Ying Chen +24
Through recent progress in hardware development, quantum computers have advanced to the point where benchmarking of (heuristic) quantum algorithms at scale is within reach. Particu…
Digitized counterdiabatic quantum critical dynamics
Anne-Maria Visuri, Alejandro Gomez Cadavid, Balaganchi A. Bhargava +6
We experimentally demonstrate that a digitized counterdiabatic quantum protocol reduces the number of topological defects created during a fast quench across a quantum phase transi…