4 papers · 1 filter
Landscape Limits of Quantum-Inspired Evolutionary Optimization across 256 continuous functions
Rishi Govind, Ferdin Sagai Don Bosco, Kasturi Venkata Srikanth +4
Quantum-inspired evolutionary optimization (QIEO) represents design variables as a set of qubits and searches a continuous, multi-dimensional landscape through rotation of the qubi…
Cross-Backend QIEO: Universal Runtime Portability across OpenMP5, CUDA, HIP, and Multi-Language Interfaces
Aman Mittal, Ferdin Sagai Don Bosco, Kasturi Venkata Srikanth +3
Quantum-inspired algorithms emulate quantum mechanical principles, such as, superposition, interference, and probabilistic amplitude evolution, on classical hardware by representin…
Evaluation of portability and performance of an OpenMP5 offloaded Quantum-Inspired Evolutionary Optimization Across the GPU Ecosystem
Kasturi Venkata Srikanth, Ashish Singh, Ferdin Sagai Don Bosco +4
Quantum-inspired evolutionary optimization (QIEO) is a new class of population-based metaheuristic optimization algorithms which represents design variables as a set of qubits and…
Revisiting Conservativeness in Fluid Dynamics: Failure of Non-Conservative PINNs and a Path-Integral Remedy
Arun Govind Neelan, Ferdin Sagai Don Bosco, Naveen Sagar Jarugumalli +1
The choice between conservative and non-conservative formulations is a fundamental dilemma in CFD. While non-conservative forms offer intuitive modeling in primitive variables, the…