Two classes of quantum-annealing-inspired-algorithms (QAIA), namely different variants of simulated coherent Ising machine and simulated bifurcation, have been proposed for efficiently solving combinatorial opt
Quantum-inspired algorithms can simulate turbulent fluid flows on a classical computer much faster than existing tools, slashing computation times from several days on a large supercomputer to just hours on a regular laptop. This could improveweather forecastsand increase the efficiency of industrial pro...
Dequantizing such algorithms has received a flurry of attention in recent years; we obtain sharper bounds for these problems. More significantly, we achieve these improvements by arguing that the previous quantum-inspired algorithms for these problems are doing leverage or ridge-leverage score sampli...
Notwithstanding, the development of quantum-inspired algorithms such as the QEA, and their procedures based on superposition and interference of quantum states, represent a promising possibility for the field of Optimization Metaheuristics for application to Nuclear Engineering problems. 3.2 The canonic ...
Quantum Inspired Swarm and Evolutionary Computing Algorithms for Optimization Problems Last update 8 June 2021 Guest Editors: Hari Mohan Pandey Mili Pant Abdesslem Layeb Ankit Chaudhary Actions for selected articles Select all/Deselect all Download PDFs...
Performance of quantum annealing inspired algorithms for combinatorial optimization problems Article Open access 19 July 2024 Introduction Quantum annealing (QA)1,2, which is a quantum heuristic algorithm for solving combinatorial optimization problems, has attracted a great deal of attention because it ...
TheSuperconducting Qubits and Algorithms (SQA 2025)conference will be held in Delft, The Netherlands on September 25-29, 2025. The conference is a not-for-profit scientific conference with a focus on science, technology, and algorithms relevant for superconducting quantum computers. It is organized...
The final outcomes show that QTS performs much better than the other heuristic algorithms on 0/1 knapsack problem, without premature convergence and more efficiency. 展开 关键词: combinatorial optimization knapsack problem quantum computing quantum-inspired evolutionary algorithm tabu search ...
The time to discover quantum algorithms is now. Empowered theorists Theory research is forward-looking and predictive. Theorists such as Geoffrey Hinton laid the foundations of the current AI revolution. But decades later, with an abundance of computing hardware, AI has become much more of an ...
Fig. 1: Schemes of quantum-inspired algorithms for approximating matrix functions. For a given matrix function, a find an embedding of the matrix function onto an outcome probability of a quantum circuit (ρ, U, Π) and choose a quasiprobability representation of the probability. b We dep...