6 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…
Quantum-Assisted Support Vector Regression
Archismita Dalal, Mohsen Bagherimehrab, Barry C. Sanders
A popular machine-learning model for regression tasks, including stock-market prediction, weather forecasting and real-estate pricing, is the classical support vector regression (S…
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…
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…