15 citations · 89 across the 29 of their papers we have counts for
32 papers
Measurement-free Preparation of Surface-Code States with Digital-Analog Counterdiabatic Drivings
Shubham Kumar Balaganchi A. Bhargava, Shubham Kumar, Balaganchi A. Bhargava +6
Preparing stabilizer-code states with shallow circuits is an important primitive for near-term quantum error correction in superconducting circuits, where logical-state initializat…
Quantum optimization beyond QUBO for industrial logistics and scheduling
Juan F. R. Hernandez, Pavle Nikacevic, Enrique Solano +4
The increasing complexity of industrial scheduling and transport routing problems motivates the study of alternative optimization formulations and computational paradigms. In this…
Off-line quantum-advantage feature extraction for industrial production
Carlos Flores-Garrigos, Gabriel D. Alvarado Barrios, Qi Zhang +2
Quantum computing is no longer a lab curiosity for academic research. Industrial processors exceeding 100 qubits are commercially accessible and, for the first time, can extract in…
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)…
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…
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…
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…
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…
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…
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 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…
Codesigned counterdiabatic quantum optimization on a photonic quantum processor
Xiao-Wen Shang, Xuan Chen, Narendra N. Hegade +6
Codesign, an integral part of computer architecture referring to the information interaction in hardware-software stack, is able to boost the algorithm mapping and execution in the…
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…
Analog Counterdiabatic Quantum Computing
Qi Zhang, Narendra N. Hegade, Alejandro Gomez Cadavid +6
We propose analog counterdiabatic quantum computing (ACQC) to tackle combinatorial optimization problems on neutral-atom quantum processors. While these devices allow for the use o…
Bias-field digitized counterdiabatic quantum optimization
Alejandro Gomez Cadavid, Archismita Dalal, Anton Simen +2
We introduce a method for solving combinatorial optimization problems on digital quantum computers, where we incorporate auxiliary counterdiabatic (CD) terms into the adiabatic Ham…
Digital-Analog Counterdiabatic Quantum Optimization with Trapped Ions
Shubham Kumar, Narendra N. Hegade, Alejandro Gomez Cadavid +3
We introduce a hardware-specific, problem-dependent digital-analog quantum algorithm of a counterdiabatic quantum dynamics tailored for optimization problems. Specifically, we focu…