Please, feed the quantum troll!

Abstract

Data encoding methods and applications in variational quantum algorithms.

Date
Feb 19, 2021
Location
Q-Hack 2021 (Xanadu Quantum Computing), Virtual

Based on the references:

  • “Tequila: A platform for rapid development of quantum algorithms”, J. S. Kottmann, S. Alperin-Lea, T. Tamayo-Mendoza, A. Cervera-Lierta, C. Lavigne, T.-C. Yen, V. Verteletskyi, P. Schleich, A. Anand, M. Degroote, S. Chaney, M. Kesibi, N. Grace Curnow, B. Solo, G. Tsilimigkounakis, C. Zendejas-Morales, A. F. Izmaylov, A. Aspuru-Guzik, Quantum Science and Technology, arXiv:2011.03057 [quant-ph]. Tequila repository.
  • “Noisy intermediate-scale quantum (NISQ) algorithms”, K. Bharti, A. Cervera-Lierta, T. H. Kyaw, T. Haug, S. Alperin-Lea, A. Anand, M. Degroote, H. Heimonen, J. S. Kottmann, T. Menke, W.-K. Mok, S. Sim, L.-C. Kwek, A. Aspuru-Guzik, arXiv:2101.08448 [quant-ph] (2021).
  • “Data re-uploading for a universal quantum classifier”, A. Pérez-Salinas, A. Cervera-Lierta, E. Gil-Fuster, J. I. Latorre, Quantum 4, 226 (2020).
  • “Meta-Variational Quantum Eigensolver (Meta-VQE): Learning energy profiles of parameterized Hamiltonians for quantum simulation”, Alba Cervera-Lierta, Jakob S. Kottmann, Alán Aspuru-Guzik PRX Quantum 2, 020329 (2021), arXiv:2009.13545 [quant-ph]
  • “One qubit as a Universal Approximant”, A. Pérez-Salinas, D. López-Núñez, A. García-Sáez, P. Forn-Díaz, J. I. Latorre, arXiv:2102.04032 [quant-ph] (2021).
  • “The effect of data encoding on the expressive power of variational quantum machine learning models”, M. Schuld, R. Sweke, J. J. Meyer, arXiv:2008.08605 [quant-ph] (2020).
Alba Cervera-Lierta
Alba Cervera-Lierta
Senior Researcher

Quantum Computing scientist.