1.8k citations · 3.4k across the 25 of their papers we have counts for
18 papers · 1 filter
Warm Starts, Cold States: Exploiting Adiabaticity for Variational Ground-States
Ricard Puig, Berta Casas, Alba Cervera-Lierta +2
Reliable preparation of many-body ground states is an essential task in quantum computing, with applications spanning areas from chemistry and materials modeling to quantum optimiz…
Hardware-inspired Continuous Variables Quantum Optical Neural Networks
Todor Krasimirov-Ivanov, Alba Cervera-Lierta, Paolo Stornati +1
Continuous-variables (CV) quantum optics is a natural formalism for neural networks (NNs) due to its ability to reproduce the information processing of such trainable interconnecte…
Quantum Circuits for High-Dimensional Absolutely Maximally Entangled States
Berta Casas, Grzegorz Rajchel-Mieldzioć, Suhail Ahmad Rather +4
Absolutely maximally entangled (AME) states of multipartite quantum systems exhibit maximal entanglement across all possible bipartitions. These states lead to teleportation protoc…
Simulation of the 1d XY model on a quantum computer
Marc Farreras, Alba Cervera-Lierta
The field of quantum computing has grown fast in recent years, both in theoretical advancements and the practical construction of quantum computers. These computers were initially…
Multidimensional Fourier series with quantum circuits
Berta Casas, Alba Cervera-Lierta
Quantum machine learning is the field that aims to integrate machine learning with quantum computation. In recent years, the field has emerged as an active research area with the p…
Modern applications of machine learning in quantum sciences
Anna Dawid, Julian Arnold, Borja Requena +26
In this book, we provide a comprehensive introduction to the most recent advances in the application of machine learning methods in quantum sciences. We cover the use of deep learn…
Summary: Chicago Quantum Exchange (CQE) Pulse-level Quantum Control Workshop
Kaitlin N. Smith, Gokul Subramanian Ravi, Thomas Alexander +14
Quantum information processing holds great promise for pushing beyond the current frontiers in computing. Specifically, quantum computation promises to accelerate the solving of ce…
Toward Reliability in the NISQ Era: Robust Interval Guarantee for Quantum Measurements on Approximate States
Maurice Weber, Abhinav Anand, Alba Cervera-Lierta +6
Near-term quantum computation holds potential across multiple application domains. However, imperfect preparation and evolution of states due to algorithmic and experimental shortc…
Design of quantum optical experiments with logic artificial intelligence
Alba Cervera-Lierta, Mario Krenn, Alán Aspuru-Guzik
Logic Artificial Intelligence (AI) is a subfield of AI where variables can take two defined arguments, True or False, and are arranged in clauses that follow the rules of formal lo…
Experimental high-dimensional Greenberger-Horne-Zeilinger entanglement with superconducting transmon qutrits
Alba Cervera-Lierta, Mario Krenn, Alán Aspuru-Guzik +1
Multipartite entanglement is one of the core concepts in quantum information science with broad applications that span from condensed matter physics to quantum physics foundations…
Noisy intermediate-scale quantum (NISQ) algorithms
Kishor Bharti, Alba Cervera-Lierta, Thi Ha Kyaw +11
A universal fault-tolerant quantum computer that can solve efficiently problems such as integer factorization and unstructured database search requires millions of qubits with low…
Tequila: A platform for rapid development of quantum algorithms
Jakob S. Kottmann, Sumner Alperin-Lea, Teresa Tamayo-Mendoza +15
Variational quantum algorithms are currently the most promising class of algorithms for deployment on near-term quantum computers. In contrast to classical algorithms, there are al…
The Meta-Variational Quantum Eigensolver (Meta-VQE): Learning energy profiles of parameterized Hamiltonians for quantum simulation
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. By training the meta-VQE with a few data points, it delivers a…
Data re-uploading for a universal quantum classifier
Adrián Pérez-Salinas, Alba Cervera-Lierta, Elies Gil-Fuster +1
A single qubit provides sufficient computational capabilities to construct a universal quantum classifier when assisted with a classical subroutine. This fact may be surprising sin…
Maximal Entanglement: Applications in Quantum Information and Particle Physics
Alba Cervera-Lierta
In this PhD thesis, several aspects regarding maximal entanglement are analyzed. In the first chapter, Bell Inequalities are analyzed from an operational perspective as well as nov…
Quantum circuits for maximally entangled states
Alba Cervera-Lierta, José Ignacio Latorre, Dardo Goyeneche
We design a series of quantum circuits that generate absolute maximally entangled (AME) states to benchmark a quantum computer. A relation between graph states and AME states can b…
Exact Ising model simulation on a quantum computer
Alba Cervera-Lierta
We present an exact simulation of a one-dimensional transverse Ising spin chain with a quantum computer. We construct an efficient quantum circuit that diagonalizes the Ising Hamil…
Multipartite entanglement in spin chains and the Hyperdeterminant
Alba Cervera-Lierta, Albert Gasull, José Ignacio Latorre +1
A way to characterize multipartite entanglement in pure states of a spin chain with sites and local dimension is by means of the Cayley hyperdeterminant. The latter quantit…