15 citations · 18 across the 12 of their papers we have counts for
13 papers
Protein folding on a 64 qubit trapped-ion hardware via counterdiabatic quantum optimization
Alejandro Gomez Cadavid, Pavle Nikačević, Pranav Chandarana +11
We report the largest trapped-ion hardware demonstration of lattice protein-folding optimization to date, using bias-field digitized counterdiabatic quantum optimization (BF-DCQO)…
Impact of thermal and dissipative effects in a periodically-kicked quantum battery
Sebastián V. Romero, Xi Chen, Yue Ban
Quantum batteries (QBs) have emerged as a promising route for fast energy storage and on-chip power supply in quantum devices. Given the limited analytical understanding of open Fl…
Large-scale portfolio optimization on a trapped-ion quantum computer
Alejandro Gomez Cadavid, Ananth Kaushik, Pranav Chandarana +10
We present an end-to-end pipeline for large-scale portfolio selection with cardinality constraints and experimentally demonstrate it on trapped-ion quantum processors using hardwar…
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…
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,…
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…
Digitized Counter-Diabatic Quantum Optimization for Bin Packing Problem
Ruoqian Xu, Sebastián V. Romero, Jialiang Tang +2
The bin packing problem, a classical NP-hard combinatorial optimization challenge, has emerged as a promising candidate for quantum computing applications. In this work, we address…
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…
Bias-Field Digitized Counterdiabatic Quantum Algorithm for Higher-Order Binary Optimization
Sebastián V. Romero, Anne-Maria Visuri, Alejandro Gomez Cadavid +3
Combinatorial optimization plays a crucial role in many industrial applications. While classical computing often struggles with complex instances, quantum optimization emerges as a…