Experience

 
 
 
 
 

Postdoctoral Fellow

Aspuru-Guzik group, University of Toronto

Jul 2018 – Present Toronto, ON
Research areas:

  • Near-term applications of quantum computing
  • Quantum chemistry algorithms
  • Variational quantum eigensolver
  • Quantum Machine Learning
 
 
 
 
 

Postdoctoral Fellow

Aspuru-Guzik group, Harvard University

Jan 2018 – Jul 2018 Cambridge, MA
Research areas:

  • Near-term applications of quantum computing
  • Quantum chemistry algorithms
  • Variational quantum eigensolver
 
 
 
 
 

Postdoctoral Fellow

Scuseria group, Rice University

Sep 2014 – Aug 2017 Houston, TX

I first came to Rice University as a 2014 Belgian American Educational Foundation (BAEF) UGent Postdoctoral Fellow.

Research areas:

  • Coupled-cluster ansatzes
  • Symmetry breaking and restoration
  • Strong correlation
 
 
 
 
 

Postdoctoral Fellow

Verstraete group, Ghent University

Jan 2013 – Jun 2014 Ghent, Belgium
Research areas:

  • Projected Entangled Pair States
  • Transfer matrix formalism
  • AKLT model excitations
 
 
 
 
 

PhD student

Van Neck group, Ghent University

Sep 2008 – Dec 2012 Ghent, Belgium

During my PhD, I was supported by a personal grant of the Flemish Science Foundation (FWO).

Research areas:

  • Green’s function techniques
  • Random Phase Approximation
  • Molecular hamiltonians

Recent Publications

more publications

Artificial spiking neural networks have found applications in areas where the temporal nature of activation offers an advantage, such …
Preprint PDF

Practical challenges in simulating quantum systems on classical computers have been widely recognized in the quantum physics and …
Preprint PDF

Coupled cluster and symmetry projected Hartree-Fock are two central paradigms in electronic structure theory. However, they are very …
Preprint PDF DOI JCP

Recent & Upcoming Talks

2020-03-17 18:00 — 20:30 New Brunswick, Canada

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 more future-proof examples where quantum computing and data science meet.
Poster Slides
2019-10-21 20:00 — 20:30 KAIST, Daejeon, South-Korea

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 autoencoder.
Slides
2019-09-15 15:25 — 16:20 The Berglas School of Economics, lecture hall 012, Tel-Aviv University, Tel Aviv, Israel

I will be giving a lecture on quantum computing for quantum chemistry at the CECAM workshop in Tel Aviv.
Slides Poster
2019-08-29 13:30 — 14:00 Fields Institute, Toronto

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 solving quantum chemistry problems on near-term quantum devices. Similar ideas can be applied to transfer the classical machine learning toolbox into the quantum realm. I’ll present our group’s recent work on hybrid quantum algorithms for machine learning including the quantum variational autoencoder, the quantum generator and a proposal for a spiking quantum neuron.

Slides
2019-08-08 14:30 — 15:30 SS571

A group meeting talk about our recent preprint. Drawing links between neuromorphic neural networks and quantum neurons.
Preprint Slides
See all talks

Contact

  • Lash Miller #434, 80 St. George Street, Toronto M6S 3H5