30 citations · 31 across the 5 of their papers we have counts for
8 papers
Optimal four-copy detection of the three-tangle and its fault-tolerant cost
Federico Tomás B. Pérez, Berta Casas, I-Chi Chen +3
The three-tangle, , is a measure of genuine tripartite entanglement that distinguishes GHZ-type from W-type entanglement in pure three-qubit states. Here, we identify the stat…
Complexity separations for optimal matchgate-Clifford synthesis
Berta Casas, Diego García-Martín, Yuxuan Zhang
Clifford and matchgate circuits are canonical families of classically simulable quantum circuits. Their intersection, the matchgate-Clifford group, plays an important role in rando…
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…
Matchgate synthesis via Clifford matchgates and gates
Berta Casas, Paolo Braccia, Élie Gouzien +2
Matchgate unitaries are ubiquitous in quantum computation due to their relation to non-interacting fermions and because they can be used to benchmark quantum computers. Implementin…
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…
The role of data-induced randomness in quantum machine learning classification tasks
Berta Casas, Xavier Bonet-Monroig, Adrián Pérez-Salinas
Quantum machine learning (QML) has surged as a prominent area of research with the objective to go beyond the capabilities of classical machine learning models. A critical aspect o…
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…