Closed rajkk1 closed 4 years ago
Tentative draft for title and abstract for QIP poster submission:
Title: Game-theoretic perspectives for multi-generator quantum GANs
Abstract: Generative adversarial networks (GANs) are powerful models in classical machine learning .... Its conventional architecture consists of a discriminator and a generator network (which endeavours to learn the latent distribution of some training dataset??).... the training of such a generative network is known to be equivalent to finding the Nash-equilibrium of a min-max game. Recent novel results have extended the GAN model to the quantum domain..... in this work, we examine the promise of quantum GANs from a game-theoretic perspective....(we are not sure what we will find, so I don't know what to say here exactly) We present experimental results on implementing quantum games on contemporary quantum devices..... (to be continued)
To get to an optimal GAN, one has to find the Nash equilibrium of the minimax game between the Discriminator and Generator.
2 main concerns from my side:
So here are 3 options that we could do:
Let me know of your thoughts! Thanks team!
The Quantum Information Processing (QIP) Conference abstracts are due 13 Oct http://www.szpclab.com/qip2020#/submissions