277 citations · 2.4k across the 76 of their papers we have counts for
7 papers · 1 filter
Expressibility, entangling power and quantum average causal effect for causally indefinite circuits
Pedro C. Azado, Guilherme I. Correr, Alexandre Drinko +3
Parameterized quantum circuits are the core of new technologies such as variational quantum algorithms and quantum machine learning, which makes studying its properties a valuable…
Classical Geometric Fluctuation Relations
Pedro B. Melo, Sílvio M. Duarte Queirós, Diogo O. Soares-Pinto +1
Fisher Information (FI) is a quantity ubiquitously measured in such varied areas like metrology, machine learning, and biological complexity. Mathematically, it represents a lower…
Benchmarking Variational Quantum Eigensolvers for Entanglement Detection in Many-Body Hamiltonian Ground States
Alexandre Drinko, Guilherme I. Correr, Ivan Medina +3
Variational quantum algorithms (VQAs) have emerged in recent years as a promise to obtain quantum advantage. These task-oriented algorithms work in a hybrid loop combining a quantu…
Information flow-enhanced precision in collisional quantum thermometry
Taysa M. Mendonça, Diogo O. Soares-Pinto, Mauro Paternostro
We describe and analyze a quantum thermometer based on a multilayered collisional model. We propose a qubit system whose architecture provides significant sensitivity even for shor…
Optimal complexity of parameterized quantum circuits
Guilherme Ilário Correr, Pedro C. Azado, Diogo O. Soares-Pinto +1
Parameterized quantum circuits play a key role for the development of quantum variational algorithms in the realm of the NISQ era. Knowing their actual capability of performing dif…
Characterizing randomness in parameterized quantum circuits through expressibility and average entanglement
Guilherme Ilário Correr, Ivan Medina, Pedro C. Azado +2
While scalable error correction schemes and fault tolerant quantum computing seem not to be universally accessible in the near sight, the efforts of many researchers have been dire…