Abstract: Inspired by the Fleming–Viot stochastic process, we propose a parallel implementation with restart of variational quantum algorithms, with the aim of reducing the time spent by the algorithm ...

One of the biggest promises of quantum computing is the ability to simulate molecules with unprecedented accuracy. If quantum computers could do this efficiently, this may speed up the discovery of ...

Abstract: Variational Quantum Algorithms (VQAs) are becoming the primary computational primitive for next-generation quantum computers, particularly those embedded as resource-constrained accelerators ...

In this tutorial, we present an advanced, hands-on tutorial that demonstrates how we use Qrisp to build and execute non-trivial quantum algorithms. We walk through core Qrisp abstractions for quantum ...

For the moment, noisy intermediate-scale quantum (named NISQ) device is the best option for quantum computation and this quantum research with tools of optimization ...

Google claims to have developed a quantum computer algorithm that is 13,000 times faster than the most powerful supercomputers. This would bring the technology another step closer to real-world ...

Europe’s first exascale supercomputer has just smashed a global quantum benchmark, simulating a full 50-qubit universal quantum computer for the first time. The feat pushes classical computing to its ...

古典最適化器を用いることなく、任意の次数のバイナリ組合せ最適化問題を解く量子アルゴリズム SamBa-GQWの提案。グラフとして表現される解空間における連続時間量子ウォークをベースとし、さらにオフライン古典サンプリングも用いている。

Quantum computing exists beyond the realm of science fiction. Technology is now integrating with artificial intelligence to transform machine learning capabilities, adaptation and reasoning abilities.

Researchers have successfully demonstrated quantum speedup in kernel-based machine learning. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works.