806 citations · 1.1k across the 11 of their papers we have counts for
11 papers
Does provable absence of barren plateaus imply classical simulability?
M. Cerezo, Martin Larocca, Diego García-Martín +9
A large amount of effort has recently been put into understanding the barren plateau phenomenon. In this perspective article, we face the increasingly loud elephant in the room and…
Classical surrogate simulation of quantum systems with LOWESA
Manuel S. Rudolph, Enrico Fontana, Zoë Holmes +1
We introduce LOWESA as a classical algorithm for faithfully simulating quantum systems via a classically constructed surrogate expectation landscape. After an initial overhead to b…
Classical simulations of noisy variational quantum circuits
Enrico Fontana, Manuel S. Rudolph, Ross Duncan +2
Noise detrimentally affects quantum computations so that they not only become less accurate but also easier to simulate classically as systems scale up. We construct a classical si…
Connecting the Hamiltonian structure to the QAOA energy and Fourier landscape structure
Michał Stęchły, Lanruo Gao, Boniface Yogendran +2
In this paper, we aim to expand the understanding of the relationship between the composition of the Hamiltonian in the Quantum Approximate Optimization Algorithm (QAOA) and the co…
Anderson impurity solver integrating tensor network methods with quantum computing
Francois Jamet, Lachlan P. Lindoy, Yannic Rath +6
Solving the Anderson impurity model typically involves a two-step process, where one first calculates the ground state of the Hamiltonian, and then computes its dynamical propertie…
Efficient recovery of variational quantum algorithms landscapes using classical signal processing
Enrico Fontana, Ivan Rungger, Ross Duncan +1
We employ spectral analysis and compressed sensing to identify settings where a variational algorithm's cost function can be recovered purely classically or with minimal quantum co…
Spectral analysis for noise diagnostics and filter-based digital error mitigation
Enrico Fontana, Ivan Rungger, Ross Duncan +1
We investigate the effects of noise on parameterised quantum circuits using spectral analysis and classical signal processing tools. For different noise models, we quantify the add…
Reduced Density Matrix Sampling: Self-consistent Embedding and Multiscale Electronic Structure on Current Generation Quantum Computers
Jules Tilly, P. V. Sriluckshmy, Akashkumar Patel +6
We investigate fully self-consistent multiscale quantum-classical algorithms on current generation superconducting quantum computers, in a unified approach to tackle the correlated…
Evaluating the noise resilience of variational quantum algorithms
Enrico Fontana, Nathan Fitzpatrick, David Muñoz Ramo +2
We simulate the effects of different types of noise in state preparation circuits of variational quantum algorithms. We first use a variational quantum eigensolver to find the grou…
Non-trivial symmetries in quantum landscapes and their resilience to quantum noise
Enrico Fontana, M. Cerezo, Andrew Arrasmith +2
Very little is known about the cost landscape for parametrized Quantum Circuits (PQCs). Nevertheless, PQCs are employed in Quantum Neural Networks and Variational Quantum Algorithm…
Noise-Induced Barren Plateaus in Variational Quantum Algorithms
Samson Wang, Enrico Fontana, M. Cerezo +4
Variational Quantum Algorithms (VQAs) may be a path to quantum advantage on Noisy Intermediate-Scale Quantum (NISQ) computers. A natural question is whether noise on NISQ devices p…