53 citations · 74 across the 3 of their papers we have counts for
10 papers
Sub-Quantum Fisher Information
M. Cerezo, Akira Sone, Jacob L. Beckey +1
The Quantum Fisher Information (QFI) plays a crucial role in quantum information theory and in many practical applications such as quantum metrology. However, computing the QFI is…
Variational Quantum Algorithms
M. Cerezo, Andrew Arrasmith, Ryan Babbush +8
Applications such as simulating complicated quantum systems or solving large-scale linear algebra problems are very challenging for classical computers due to the extremely high co…
Variational Hamiltonian Diagonalization for Dynamical Quantum Simulation
Benjamin Commeau, M. Cerezo, Zoë Holmes +3
Dynamical quantum simulation may be one of the first applications to see quantum advantage. However, the circuit depth of standard Trotterization methods can rapidly exceed the coh…
Cost Function Dependent Barren Plateaus in Shallow Parametrized Quantum Circuits
M. Cerezo, Akira Sone, Tyler Volkoff +2
Variational quantum algorithms (VQAs) optimize the parameters of a parametrized quantum circuit to minimize a cost function . While VQAs may enable practical…
Fermionic entanglement in the Lipkin model
M. Di Tullio, R. Rossignoli, M. Cerezo +1
We examine the fermionic entanglement in the ground state of the fermionic Lipkin model and its relation with bipartite entanglement. It is first shown that the one-body entangleme…
Noise Resilience of Variational Quantum Compiling
Kunal Sharma, Sumeet Khatri, M. Cerezo +1
Variational hybrid quantum-classical algorithms (VHQCAs) are near-term algorithms that leverage classical optimization to minimize a cost function, which is efficiently evaluated o…