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20202026
most citedPhysics-Informed Neural Networks for an optimal counterdiabatic quantum computation

2 citations · 3 across the 16 of their papers we have counts for

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quant-ph2026

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)…

quant-ph2026

Quantum Feature Selection with Higher-Order Binary Optimization on Trapped-Ion Hardware

Carlos Flores-Garrigós, Anton Simen, Qi Zhang +6

We present a quantum feature-selection framework based on a higher-order unconstrained binary optimization (HUBO) formulation that explicitly incorporates multivariate dependencies…

quant-ph2026

The Quest for Quantum Advantage in Combinatorial Optimization: End-to-end Benchmarking of Quantum Solvers vs. Multi-core Classical Solvers

Pranav Chandarana, Alejandro Gomez Cadavid, Enrique Solano +3

We perform an end-to-end benchmark of a hybrid sequential quantum computing (HSQC) solver for higher-order unconstrained binary optimization (HUBO), executed on IBM Heron r3 quantu…

quant-ph2026

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…

quant-ph2026

Constant Depth Digital-Analog Counterdiabatic Quantum Computing

Balaganchi A. Bhargava, Shubham Kumar, Anne-Maria Visuri +3

We introduce a digital-analog quantum computing framework that enables counterdiabatic protocols to be implemented at constant circuit depth, allowing fast and resource-efficient q…

quant-ph2025

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…