3.3k citations · 5.6k across the 24 of their papers we have counts for
25 papers
Classification of quantum states through conserved operators
Federico Petrovich, R. Rossignoli, M. Cerezo
Determining whether quantum states can be interconverted by a prescribed set of transformations is a fundamental problem in quantum information. Here we develop a general classific…
Resource frugal optimizer for quantum machine learning
Charles Moussa, Max Hunter Gordon, Michal Baczyk +3
Quantum-enhanced data science, also known as quantum machine learning (QML), is of growing interest as an application of near-term quantum computers. Variational QML algorithms hav…
On the practical usefulness of the Hardware Efficient Ansatz
Lorenzo Leone, Salvatore F. E. Oliviero, Lukasz Cincio +1
Variational Quantum Algorithms (VQAs) and Quantum Machine Learning (QML) models train a parametrized quantum circuit to solve a given learning task. The success of these algorithms…
Quantum Algorithms for Geologic Fracture Networks
Jessie M. Henderson, Marianna Podzorova, M. Cerezo +4
Solving large systems of equations is a challenge for modeling natural phenomena, such as simulating subsurface flow. To avoid systems that are intractable on current computers, it…
A Hierarchy of Multipartite Correlations Based on Concentratable Entanglement
Louis Schatzki, Guangkuo Liu, M. Cerezo +1
Multipartite entanglement is one of the hallmarks of quantum mechanics and is central to quantum information processing. In this work we show that Concentratable Entanglement (CE),…
Exponential concentration in quantum kernel methods
Supanut Thanasilp, Samson Wang, M. Cerezo +1
Kernel methods in Quantum Machine Learning (QML) have recently gained significant attention as a potential candidate for achieving a quantum advantage in data analysis. Among other…
Diagnosing Barren Plateaus with Tools from Quantum Optimal Control
Martin Larocca, Piotr Czarnik, Kunal Sharma +3
Variational Quantum Algorithms (VQAs) have received considerable attention due to their potential for achieving near-term quantum advantage. However, more work is needed to underst…
Computable and operationally meaningful multipartite entanglement measures
Jacob L. Beckey, N. Gigena, Patrick J. Coles +1
Multipartite entanglement is an essential resource for quantum communication, quantum computing, quantum sensing, and quantum networks. The utility of a quantum state, ,…
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 Quantum Algorithm for Estimating the Quantum Fisher Information
Jacob L. Beckey, M. Cerezo, Akira Sone +1
The Quantum Fisher information (QFI) quantifies the ultimate precision of estimating a parameter from a quantum state, and can be regarded as a reliability measure of a quantum sys…
Generalized Measure of Quantum Fisher Information
Akira Sone, M. Cerezo, Jacob L. Beckey +1
In this work, we present a lower bound on the quantum Fisher information (QFI) which is efficiently computable on near-term quantum devices. This bound itself is of interest, as we…
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…
Higher Order Derivatives of Quantum Neural Networks with Barren Plateaus
M. Cerezo, Patrick J. Coles
Quantum neural networks (QNNs) offer a powerful paradigm for programming near-term quantum computers and have the potential to speedup applications ranging from data science to che…
Variational Quantum State Eigensolver
M. Cerezo, Kunal Sharma, Andrew Arrasmith +1
Extracting eigenvalues and eigenvectors of exponentially large matrices will be an important application of near-term quantum computers. The Variational Quantum Eigensolver (VQE) t…
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…
Strong bound between trace distance and Hilbert-Schmidt distance for low-rank states
Patrick J. Coles, M. Cerezo, Lukasz Cincio
The trace distance between two quantum states, and , is an operationally meaningful quantity in quantum information theory. However, in general it is difficult to compute, i…
Inducing critical phenomena in spin chains through sparse alternating fields
M. Cerezo, R. Rossignoli, N. Canosa +1
We analyze the phase diagram of the exact ground state (GS) of spin- chains with ferromagnetic couplings under -alternating field configurations, i.e, sparse alternatin…
Quantum Discord and entropic measures of quantum correlations: Optimization and behavior in finite spin chains
N. Canosa, M. Cerezo, N. Gigena +1
We discuss a generalization of the conditional entropy and one-way information deficit in quantum systems, based on general entropic forms. The formalism allows to consider simple…
Factorization and criticality in finite XXZ systems of arbitrary spin
M. Cerezo, R. Rossignoli, N. Canosa +1
We analyze ground state (GS) factorization in general arrays of spins with couplings immersed in nonuniform fields. It is shown that an exceptionally degenerate set of…
Factorization in XYZ spin systems under general fields and separable ground state engineering
M. Cerezo, R. Rossignoli, N. Canosa
We discuss ground state factorization schemes in spin arrays with general couplings under general magnetic fields, not necessarily uniform or transverse. It is first show…
System-time entanglement in a discrete time model
A. Boette, R. Rossignoli, N. Gigena +1
We present a model of discrete quantum evolution based on quantum correlations between the evolving system and a reference quantum clock system. A quantum circuit for the model is…