6 papers
Measurement and reload costs in direct quantum simulation of nonlinear waves
Ziqing Guo, Viraj Dsouza, Alex Khan +3
Quantum processors encode an N-point field in log_2(N) qubits, which renders nonlinear wave equations an important application for quantum simulation. Nonlinear evolution, however,…
Exploring the non-convexity in machine learning using quantum-inspired optimization
Kandula Eswara Sai Kumar, Parth Dhananjay Danve, Abhishek Chopra +1
The escalating complexity of modern machine learning necessitates solving challenging non-convex optimization problems, particularly in high-dimensional regimes and scenarios conta…
Design of Magnetic Lattices with a Quantum-Inspired Evolutionary Optimization Algorithm
Zekeriya Ender EÄer, Waris Khan, Priyabrata Maharana +5
This article investigates the identification of magnetic spin distributions in ferromagnetic materials by minimizing the system's free energy. Magnetic lattices of varying sizes ar…
Investigation of Performance and Scalability of a Quantum-Inspired Evolutionary Optimizer (QIEO) on NVIDIA GPU
Aman Mittal, Kasturi Venkata Sai Srikanth, Ferdin Sagai Don Bosco +3
Quantum inspired evolutionary optimization leverages quantum computing principles like superposition, interference, and probabilistic representation to enhance classical evolutiona…
Benchmarking of GPU-optimized Quantum-Inspired Evolutionary Optimization Algorithm using Functional Analysis
Kandula Eswara Sai Kumar, Supreeth B S, Rajas Dalvi +5
This article presents a comparative analysis of GPU-parallelized implementations of the quantum-inspired evolutionary optimization (QIEO) approach and one of the well-known classic…
Demonstration of Scalability and Accuracy of Variational Quantum Linear Solver for Computational Fluid Dynamics
Ferdin Sagai Don Bosco, Dhamotharan S, Rut Lineswala +1
The solution for non-linear, complex partial differential Equations (PDEs) is achieved through numerical approximations, which yield a linear system of equations. This approach is…