Researchers have successfully demonstrated quantum speedup in kernel-based machine learning.

When a quantum computer processes data, it must translate it into understandable quantum data. Algorithms that carry out this 'quantum compilation' typically optimize one target at a time. However, a ...

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, researchers ...

Overview: Artificial intelligence allows algorithms to learn patterns and make smart decisions without fixed ...

Arxiv – A survey of applications and end-to-end complexities. (337 pages. Oct 2023) by Researchers at AWS Center for Quantum Computing, Institute for Quantum Information, RWTH Aachen University ...

Quantum computing news usually picks up near the end of the year, as companies try to provide evidence that they are hitting ...

Quantum computers—devices that process information using quantum mechanical effects—have long been expected to outperform classical systems on certain tasks. Over the past few decades, researchers ...

Quantum technologies like quantum computers are built from quantum materials. These types of materials exhibit quantum properties when exposed to the right conditions. Curiously, engineers can also ...