collaborators

21 papers

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

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…

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…