I was supposed to give a live seminar in Fredericton to the Data Scince Practitioners East Meetup. Covid-19 decided otherwise and I gave my talk over Zoom. I presented work from our research group in quantum machine learning and gave some examples of …
A talk about the quantum machine learning projects in the Aspuru-Guzik group. I focused on the chemical motivation of the projects. This culminates in a current research direction: detect quantum phases in the latent space of a quantum variational …
I will be giving a lecture on quantum computing for quantum chemistry at the CECAM workshop in Tel Aviv.
I got the opportunity to fill in for a last minute cancellation at the CQIQC-VIII. I made an overview of the quantum machine learning topics that we are currently investigating.
Optimization of parametrized circuits has proven very powerful for …
A group meeting talk about our recent preprint. Drawing links between neuromorphic neural networks and quantum neurons.
Artificial spiking neural networks have found applications in areas where the temporal nature of activation offers an advantage, such as time series prediction and signal processing. To improve their efficiency, spiking architectures often run on …
Short blitz talk of the progress of our group. The main focus will be the Quantum Generator research that was published last year by Jhonathan Romero.
The talk will give an overview of quantum computing and its relevance to chemistry. It will try to go beyond the popular science introductions without getting lost in math and quantum mechanics.
Practical challenges in simulating quantum systems on classical computers have been widely recognized in the quantum physics and quantum chemistry communities over the past century. Although many approximation methods have been introduced, the …