The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

Quantum computing will not deliver truly useful business results overnight, but the pace of progress is no longer linear; ...

MicroAlgo Inc. Develops Classifier Auto-Optimization Technology Based on Variational Quantum Algorithms, Accelerating the Advancement of Quantum Machine Learning PR Newswire SHENZHEN, China, May 2 ...

European researchers are developing quantum computers using light and glass, in a collaboration that promises breakthroughs in computing power, battery technology and scientific discovery.By Anthony ...

Variational quantum algorithms, including the CVQE algorithm, identify trial states by a set of parameters that are optimized to minimize the energy.

Recent work has started to approach this problem through the lens of quantum computing, which promises theoretical speed-ups for several traditionally hard tasks. In this work, we examine a class of ...

Quantum Circuit Optimization: Employing adaptive variational algorithms to dynamically adjust circuit depth, balancing computational resources with model expressiveness.

Conventional quantum algorithms are not feasible for solving combinatorial optimization problems (COPs) with constraints in the operation time of quantum computers. To address this issue ...

Variational quantum algorithms, including the CVQE algorithm, identify trial states by a set of parameters that are optimized to minimize the energy.

Here’s what a quantum algorithm for a real-world problem looks like. By Charlotte Hu. Published May 1, 2023 7:00 AM EDT. Is there an optimal way to assign flights to gates?