Quantum Generative Adversarial Networks (QGANs)

Quantum Generative Adversarial Networks (QGANs) are an advanced form of generative models that leverage quantum computing to enhance data generation capabilities. They build on the classical Generative Adversarial Networks (GANs) framework, which consists of two neural networks: a generator and a discriminator: Why do I want to use QGANs? An initial representation (a map) about … Read more

Google Quantum Computer

Google announced an advance in their Quantum computing processors. Despite they clearly indicated that is just the second milestone of six steps they have in their roadmap, the general reaction was: Quantum computing is already here. I have tried to draw the gap between what they communicated and the perception. Information is asymmetric, but this … Read more

Causal layered analysis

Causal layered analysis (CLA) is a future research theory that integrates various epistemic modes, creates spaces for alternative futures, and consists of four layers: The author is Sohail Inayatullah, and here he explains well how these four layers work. It’s interesting to see how he plays with narrative at the different examples and how he performs … Read more