61 citations · 123 across the 11 of their papers we have counts for
12 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…
Framework for Learning and Control in the Classical and Quantum Domains
Seyed Shakib Vedaie, Archismita Dalal, Eduardo J. Páez +1
Control and learning are key to technological advancement, both in the classical and quantum domains, yet their interrelationship is insufficiently clear in the literature, especia…
Modeling the Performance of Early Fault-Tolerant Quantum Algorithms
Qiyao Liang, Yiqing Zhou, Archismita Dalal +1
Progress in fault-tolerant quantum computation (FTQC) has driven the pursuit of practical applications with early fault-tolerant quantum computers (EFTQC). These devices, limited i…
Noise tailoring for Robust Amplitude Estimation
Archismita Dalal, Amara Katabarwa
A universal fault-tolerant quantum computer holds the promise to speed up computational problems that are otherwise intractable on classical computers; however, for the next decade…
Two-qubit gate in neutral atoms using transitionless quantum driving
Archismita Dalal, Barry C. Sanders
A neutral-atom system serves as a promising platform for realizing gate-based quantum computing because of its capability to trap and control several atomic qubits in different geo…
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…
Optimal Control of Traffic Signals using Quantum Annealing
Hasham Hussain, Muhammad bin Javaid, Faisal Shah Khan +2
Quadratic unconstrained binary optimization (QUBO) is the mathematical formalism for phrasing and solving a class of optimization problems that are combinatorial in nature. Due to…