The three-dimensional world of ordinary experience—the universe filled with galaxies, stars, planets, houses, boulders, and ...

Scientists published the Cascaded Variational Quantum Eigensolver (CVQE) algorithm in a recent article, expected to become a powerful tool to investigate the physical properties in electronic systems.

In supervised, unsupervised, and reinforcement learning domains, quantum processors show potential to accelerate AI model ...

based on variational quantum algorithms, significantly reduces the computational complexity of parameter updates through deep optimization of the core circuit. It also incorporates innovative ...

"The two main methods for solving COPs with quantum devices are variational scheduling and post-processing. Our algorithm combines variational scheduling with a post-processing method that ...

As quantum computing hardware advances, the demand for scalable, precise, and fully automated verification techniques for ...

A team of researchers led by Yumin Dong of Chongqing Normal University has developed a novel method to optimize parametric quantum circuits, a critical component of variational quantum algorithms.

The CVQE algorithm is a variant of the Variational Quantum Eigensolver (VQE) algorithm that only requires the execution of a set of quantum circuits once rather than at every iteration during the ...

In terms of circuit design, the technology adopts ... In the training process of classifiers based on variational quantum algorithms (VQA), parameter optimization is one of the most critical ...