Quantum Techniques in Machine Learning 2020

Cambridge, Massachusetts, USA
09-12 November 2020

UPDATE: Due to the Covid-19 pandemic, the conference will be held entire online. Details on how this will impact the conference's program is coming soon.

Quantum Techniques in Machine Learning (QTML) is an annual international conference 

focusing on the interdisciplinary field of quantum technology and machine learning. The goal of the conference is to gather leading academic researchers and industry players to interact through a series of scientific talks focussed on the interplay between machine learning and quantum physics.


QTML was first hosted in Verona, Italy (2017), then Durban, South Africa (2018), and was last held in Daejeon, South Korea (2019). This is the conference's fourth annual year, and will be held online.

Example topics at QTML include, but are not limited to:

  • Quantum algorithms for machine learning tasks

  • Quantum state reconstruction from data

  • Machine learning for experimental quantum information

  • Machine learning for Hamiltonian learning

  • Variational quantum algorithms

  • Learning and optimization with hybrid quantum-classical methods

  • Quantum machine learning applications for industry

  • Tensor network methods and quantum-inspired machine learning

  • Data encoding and processing in quantum systems

  • Quantum learning theory


Important Dates

July 26


Submission Deadline

October 19

Last Day to Reserve Hotel at Discount


Nov 9-12


Nov 13





Confirmed Speakers

•    Annabel Bohrdt (TUM, Harvard)

•    Hans Briegel (Innsbruck)
•    Juan Carrasquilla (Vector Institute)
•    Patrick Coles (Los Alamos National Lab.)
•    Vedran Dunjko (Leiden University)
•    Aram Harrow (MIT)

•    Estelle Inack (Perimeter Institute)

•    Maria Kieferova  (University of Technology Sydney)

•    Emine Kucukbenli (Harvard)
•    Nana Liu (Shanghai Jiao Tong University)
•    Eleanor Rieffel (NASA Ames)
•    Maria Schuld (University of KwaZulu-Natal, Xanadu)

•    Dries Sels (Harvard)
•    Miles Stoudenmire (Flatiron Institute)
•    Giacomo Torlai (Flatiron Institute)
•    Lei Wang (Chinese Academy of Sciences)

Full Program Details To Be Determined

Submit Your Abstract

Click here to submit your abstract via Easy Chair.
The deadline to submit an abstract for a talk is July 26, 11:59pm anywhere on earth.
The deadline to submit an abstract for a poster is July 26, 11:59pm anywhere on earth.
Accepted submissions for talks will be given a 15-25 minute presentation.
QTML 2020 will be accepting, for contributed talks, short abstract submissions and long paper submissions. The conference will aim for the best quality talks, regardless which track they come from; no preference is given to either track.
All submissions should be in PDF format. If the work corresponding to the submission is published, has been submitted elsewhere, or appears on arXiv, then it should be so indicated on the first page of the submission. 
Short Papers: We will be accepting APS-style abstracts up to a maximum of 1-page. Abstracts will not appear in conference proceedings. 
Long Papers: We will be accepting original papers ranging from 12-15 pages, and may appear in conference proceedings. For more details on format criteria, click here.
Posters: All papers will automatically be considered for poster submission if not accepted for a contributed talk. Poster-only submissions can be submitted, and should include an abstract in the same format as the short paper.

Travel and Local Info

Due to the epidemic, our plan to hold QTML 2020 in Boston is no longer possible. The conference will be held entirely online. We will miss meeting with our community in-person, but welcome the opportunity to meet with everyone who would otherwise be unavailable to attend. See you in November! 


The link to register for the conference is coming soon. 


About QTML

QTML 2020 Contact Information

QTML Steering committee

  • Alessandra Di Pierro (Università di Verona)

  • Stefano Mancini (Università di Camerino)

  • Francesco Petruccione (University of KwaZulu-Natal)

  • June-Koo Kevin Rhee (KAIST)

Organizing committee for QTML 2020

  • Jonathan Olson (Zapata Computing, Chair)

  • Alessandra Di Pierro (Università di Verona)

Program committee for QTML 2020

  • Alejandro Perdomo-Ortiz (Zapata Computing, Co-Chair)

  • Roger Melko (University of Waterloo/Perimeter Institute, Co-Chair) 

  • Alessandra Di Pierro (Università di Verona)

  • Amira Abbas (University of KwaZulu-Natal)

  • Giovanni Acampora (Università di Napoli Federico II)

  • Matthias Degroote (University of Toronto)

  • Vedran Dunjko (LIACS, Leiden University)

  • Christina Giarmatzi (University of Queensland)

  • Aroosa Ijaz (Xanadu, Canada)

  • Maria Kieferova (University of Technology Sydney)

  • Lucas Lamata (Universidad de Sevilla)

  • Alba Cervera Lierta (University of Toronto)

  • Nana Liu (Shanghai Jiao Tong University)

  • Daniel Park (Korea Advanced Institute of Science and Technology)

  • Minh Ha Quang (RIKEN)

  • June-Koo Kevin Ree (Korea Advanced Institute of Science and Technology)

  • Davide Venturelli (USRA Research Institute for Advanced Computer Science, NASA)


Scientific advisory committee for QTML 2020

  • Hans Briegel (University of Innsbruck)

  • Juan Carrasquilla (Perimeter Institute, Vector Institute)

  • Ignacio Cirac (Max Planck Institute of Quantum Optics)

  • Eun-Ah Kim (Cornell University)

  • Eleanor Rieffel (NASA)

  • Maria Schuld (Xanadu, University of KwaZulu-Natal)


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