9 papers
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…
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…
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…
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…
Digitized Counterdiabatic Quantum Algorithms for Logistics Scheduling
Archismita Dalal, Iraitz Montalban, Narendra N. Hegade +7
We study a job shop scheduling problem for an automatized robot in a high-throughput laboratory and a travelling salesperson problem with recently proposed digitized counterdiabati…
Efficient DCQO Algorithm within the Impulse Regime for Portfolio Optimization
Alejandro Gomez Cadavid, Iraitz Montalban, Archismita Dalal +2
We propose a faster digital quantum algorithm for portfolio optimization using the digitized-counterdiabatic quantum optimization (DCQO) paradigm in the impulse regime, that is, wh…