Quantum computers hold the potential of solving some optimization and data processing problems that cannot be tackled by ...

Four RIKEN researchers have used two small quantum computers to simulate quantum information scrambling, an important quantum ...

More information: Marius Hegedüs et al, In situ scanning gate imaging of individual quantum two-level system defects in live superconducting circuits, Science Advances (2025).

The internet, social media, and digital technologies have completely transformed the way we establish commercial, personal ...

FTQC is the roadmap. It’s not just a technological milestone; it’s the critical inflection point that separates ...

Depth of quantum circuit required for implementing two types of quantum algorithms: [Left] QAOA (NISQ) and [Right] QPE (FTQC): Compared to conventional technology, Classiq platform reduced ...

This diagram illustrates how the team reduces quantum circuit complexity in machine learning using three encoding methods—variational, genetic, and matrix product state algorithms.

QML implements quantum algorithms to solve machine learning problems. The process requires quantum circuits to perform data encoding, followed by transformation steps and pattern extraction.

Integrated quantum computing company Quantinuum Ltd. today unveiled new open-source software tools designed to accelerate ...

Shibaura Institute of Technology, Waseda University, and Fujitsu develop method for controlling robot posture using quantum ...