Complexity of data across all these is growing ... and sending it out an authenticated email ID with the relevant password protected PDF. “The PoC has been very successful, and we are taking ...
We present qlbm, a Python software package designed to facilitate the development, simulation, and analysis of Quantum Lattice Boltzmann Methods (QBMs). qlbm is a modular framework that introduces a ...
Quantum Computing has seen a significant stock surge, driven by its Q3 2024 financial report and Amazon Web Services' Quantum Embark program announcement. The firm's TFLN foundry in Arizona, set ...
Combining quantum science with machine learning has led to a model that can accurately measure how surfaces feel to the touch. Scientists have given artificial intelligence (AI) the capacity to ...
As quantum computing advances, it brings opportunities and challenges, especially in cybersecurity. The encryption methods that support most of today's blockchain technology—like elliptic curve ...
LOCC reduced the complexity of quantum circuit compilation while maintaining high performance, making it the preferred approach for modular systems. In this study, the team implemented graph states ...
State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Fujian Provincial Key Laboratory of Theoretical and Computational ...
A team of AI researchers at Google DeepMind, working with a team of quantum researchers at Google Quantum AI, announced the development of an AI-based decoder that identifies quantum computing errors.
SINGAPORE – OCBC Bank aims to train around 100 employees in quantum computing over the next three years to develop new applications and strengthen defences against emerging cyber-security ...