Search Results for author: Alba Cervera-Lierta

Found 7 papers, 5 papers with code

On scientific understanding with artificial intelligence

no code implementations4 Apr 2022 Mario Krenn, Robert Pollice, Si Yue Guo, Matteo Aldeghi, Alba Cervera-Lierta, Pascal Friederich, Gabriel dos Passos Gomes, Florian Häse, Adrian Jinich, AkshatKumar Nigam, Zhenpeng Yao, Alán Aspuru-Guzik

Imagine an oracle that correctly predicts the outcome of every particle physics experiment, the products of every chemical reaction, or the function of every protein.


Design of quantum optical experiments with logic artificial intelligence

1 code implementation27 Sep 2021 Alba Cervera-Lierta, Mario Krenn, Alán Aspuru-Guzik

In this work, we propose the use of logic AI for the design of optical quantum experiments.

Formal Logic

Learning Interpretable Representations of Entanglement in Quantum Optics Experiments using Deep Generative Models

1 code implementation6 Sep 2021 Daniel Flam-Shepherd, Tony Wu, Xuemei Gu, Alba Cervera-Lierta, Mario Krenn, Alan Aspuru-Guzik

The complex relationship between the setup structure of a quantum experiment and its entanglement properties is essential to fundamental research in quantum optics but is difficult to intuitively understand.

Tequila: A platform for rapid development of quantum algorithms

4 code implementations5 Nov 2020 Jakob S. Kottmann, Sumner Alperin-Lea, Teresa Tamayo-Mendoza, Alba Cervera-Lierta, Cyrille Lavigne, Tzu-Ching Yen, Vladyslav Verteletskyi, Philipp Schleich, Abhinav Anand, Matthias Degroote, Skylar Chaney, Maha Kesibi, Artur F. Izmaylov, Alán Aspuru-Guzik

As in classical computing, heuristics play a crucial role in the development of new quantum algorithms, resulting in high demand for flexible and reliable ways to implement, test, and share new ideas.

Quantum Physics Chemical Physics Computational Physics

The Meta-Variational Quantum Eigensolver (Meta-VQE): Learning energy profiles of parameterized Hamiltonians for quantum simulation

3 code implementations28 Sep 2020 Alba Cervera-Lierta, Jakob S. Kottmann, Alán Aspuru-Guzik

We present the meta-VQE, an algorithm capable to learn the ground state energy profile of a parametrized Hamiltonian.

Quantum Physics

Data re-uploading for a universal quantum classifier

2 code implementations arXiv 2019 Adrián Pérez-Salinas, Alba Cervera-Lierta, Elies Gil-Fuster, José I. Latorre

A single qubit provides sufficient computational capabilities to construct a universal quantum classifier.

Quantum Physics

Cannot find the paper you are looking for? You can Submit a new open access paper.