Almudena Carrera
@anedumlacv
ID: 452353698
01-01-2012 18:57:25
39 Tweet
114 Followers
41 Following
Congrats and respect to Sona Sherpa, Mingma Gyalje, Dawa Tenzing, Kilu Pemba, Nims, Mingma David, Dawa Temba Sherpa, Pemchhiri Sherpa, Gelje Sherpa et Mingma Tenzi Sherpa to reach K2 in winter for the first time đđœ Seven Summit Treks đłđ” Nirmal Purja MBE fumanshoe
.@nature cover features findings by ASIM đŠ @asim.dk, a first for an European Space Agency International International Space Station experiment! The paper describes a sighting of five intense blue flashes in a cloud top, one generating a âblue jetâ into the stratosphere esa.int/Science_ExplorâŠ
Error mitigation techniques may allow a smooth transition into the fault-tolerant computing era. Together with Christophe and Stefan from IBM Research and ETH Physics we improve the sampling overhead for the quasiprobability method arxiv.org/abs/2101.09290
I am very excited to share with you our work on Quantum HF- and DFT-Embedding algorithms! If you are interested in how we use #qiskit and #pyscf to scale to larger molecular systems be sure to check out: doi.org/10.1063/5.0029⊠PanagiotisBarkoutsos @PaulineOllitrau
In this new work we show how to approximate the Quantum Fisher Information of parameterized circuits using SPSA, reducing the cost of Quantum Natural Gradient and Variational Imaginary Time Evolution on quantum hardware, check it out! Computational Quantum Science Lab IBM Research EPFL ETH Physics
Finally, it is published! nature.com/articles/s4153⊠Very happy for the result. Thanks a lot to the reviewers, who found the time to check it, despite the covid :) And of course to my collaborators Julien, Christa and Stefan IBM Research ETH ZĂŒrich Faculty of Science | UNIGE
Os recomendamos la entrevista "El futuro del 'fintech' se escribe en un ordenador cuĂĄntico" con Almudena Carrera de IBM Research, Enrique Lizaso de @MultiverseQC y EscolĂĄstico Sanchez de BBVA openinnovation.bbva.com/es/noticia/el-âŠ
Our work on "The power of quantum neural networks" has been published in Nature Computational Science! A huge thanks to the coauthors, David Sutter Alessio Figalli Aurelien Lucchi Christa Zoufal and Stefan Woerner. Hard work pays off! đ nature.com/natcomputsci/vâŠ
postdoc position in Renato Renner's quantum information theory group QIT Zurich at ETH, in close collaboration with the IBM quantum algorithms and application group led by Stefan Wörner: jobs.ethz.ch/job/view/JOPG_⊠đ
New arXiv paper out! Purely classical machine learning :) in collaboration with David Sutter Alessio Figalli and Stefan Woerner. We define and motivate a measure of capacity for ML models: the local effective dimension. We show how this quantity bounds generalization error 1/3