DEEP learningMACHINE learningSUPERPOSITION principle (Physics)COMPUTATIONAL intelligenceINSTRUCTIONAL systemsQuantum algorithms of interest are quantum optimization algorithms, quantum neural networks, quantum
That is why we have developed quantum-inspired algorithms that allow us to describe and optimize complex situations, giving companies time and cost savings". In addition to Reply, the project partners include BMW, and the two Fraunhofer institutes for Integrated Circuits IIS, and for Cognitive ...
Nikita Gourianovat the University of Oxford and his colleagues have now developed a new approach that uses quantum computer-inspired algorithms called tensor networks to represent turbulence probability distributions. Tensor networks originated in physics and came into common use in the early 2000s. The...
we want to bring academic discussions to the business world and show companies how they can use quantum computing commercially and the benefits they can derive from it. That is why we have developed quantum-inspired algorithms that allow us to describe and optimize complex situations, giving compan...
The classical Nearest Centroid algorithm used in practice takes time O(nkd), since for every of the n points one needs to compute the distance to each of k centroids, which takes time d. In theory, one can design quantum-inspired algorithms for Nearest Centroid and for other quantum machine...
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...
After all, classical Monte Carlo sampling algorithms are widely used in practice. However, applications of sampling typically use samples to extract meaningful information or specific features of the underlying distribution. For example, Monte Carlo sampling can be used to evaluate integrals in Bayesian...
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 by QuTech, Orange Quantum Systems, and IQM Quantum Computers in cooperation with the...
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 ...
Most recently, methods21,22 inspired by adiabatic quantum computing are proposed to be implemented on circuit-based quantum computers. Whether substantial quantum speedup exists in these algorithms remains unknown. In practice, the applicability of quantum algorithms to classical systems are limited by ...