The Quantum Cognition Approach The "quantum cognition " approach (as it has come to be called) offers a sophisticated and nuanced approach to the formal description of cognitive processes and ...

As large language models (LLMs) continue their rapid evolution and domination of the generative AI landscape, a quieter evolution is unfolding at the edge of two emerging domains: quantum computing ...

Quantum computing systems and software company D-Wave Quantum Inc. has partnered with the pharmaceutical division of Japan Tobacco Inc. to build a proof-of-concept artificial intelligence model using ...

It has demonstrated the powerful ability of a quantum computer to perform certain computational tasks more efficiently than a classical computer. Thus, to show quantum advantages is a key problem in ...

Compared with traditional GPU-based computing, quantum computing has the potential to perform far more complex tasks more quickly and cheaply. Data centers are draining more electricity from global ...

The quantum tangent kernel method is a mathematical approach used to understand how fast and how well quantum neural networks can learn. A quantum neural network is a machine learning model that runs ...

D-Wave Quantum ( (QBTS)) has issued an update. On January 6, 2026, D-Wave Quantum Inc. announced it had achieved an industry-first breakthrough in gate-model quantum computing by successfully ...

Most of what your hear about quantum computers focuses on their quantum nature - and their potential to solve unsolvable problems. Quantum theory plays heavily in these discussions with topics such as ...

Quantum computing appears on track to help companies in three main areas: optimization, simulation and machine learning. The appeal of quantum machine learning lies in its potential to tackle problems ...