1.8k citations · 3.4k across the 25 of their papers we have counts for
27 papers
Quantum probes of invisible particles in top-quark pair production at the LHC
Blanca Belmonte, Diego Blas, Alba Cervera-Lierta +1
Top-quark pair production at the LHC provides a bipartite spin system whose correlations are imprinted in the angular distributions of the decay products and can be studied with qu…
Quantum Diffusion Models for Medical Image Analysis
Francesco Aldo Venturelli, Stefano Martina, Marco Parigi +3
Quantum Machine Learning is a novel field of research aimed at devising machine learning approaches exploiting principles of quantum mechanics, such as superposition, entanglement…
Towards interpretable AI with quantum annealing feature selection
Francesco Aldo Venturelli, Emanuele Costa, Sikha O K +3
Deep learning models are used in critical applications, in which mistakes can have serious consequences. Therefore, it is crucial to understand how and why models generate predicti…
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…
Gauge and diffeomorphism invariance from quantum information principles
Claudia Núñez, Miguel Pardina, Manuel Asorey +2
Entanglement is a hallmark of quantum theory, yet it alone does not capture the full extent of quantum complexity: some highly entangled states can still be classically simulated.…
Distributed Quantum Circuit Cutting for Hybrid Quantum-Classical High-Performance Computing
Mar Tejedor, Berta Casas, Javier Conejero +2
Most quantum computers today are constrained by hardware limitations, particularly the number of available qubits, causing significant challenges for executing large-scale quantum…
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…
Universality of entanglement in gluon dynamics
Claudia Núñez, Alba Cervera-Lierta, José Ignacio Latorre
Entanglement of fundamental degrees of freedom in particle physics is generated ab initio in scattering processes. In the case of a pure gauge theory, two gluons in a produ…
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…
On scientific understanding with artificial intelligence
Mario Krenn, Robert Pollice, Si Yue Guo +9
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. Such an oracl…
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…
Learning Interpretable Representations of Entanglement in Quantum Optics Experiments using Deep Generative Models
Daniel Flam-Shepherd, Tony Wu, Xuemei Gu +3
Quantum physics experiments produce interesting phenomena such as interference or entanglement, which are core properties of numerous future quantum technologies. The complex relat…
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…