activity
20092026
most citedAn introduction to quantum machine learning

1.3k citations · 4k across the 62 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

quant-ph2021★ 17 cited

Machine learning for excitation energy transfer dynamics

Kimara Naicker, Ilya Sinayskiy, Francesco Petruccione

A well-known approach to describe the dynamics of an open quantum system is to compute the master equation evolving the reduced density matrix of the system. This approach plays an…

physics.bio-ph2021★ 15 cited

Bad vibrations: Quantum tunnelling in the context of SARS-CoV-2 infection

Betony Adams, Ilya Sinayskiy, Rienk van Grondelle +1

The SARS-CoV-2 pandemic has added new urgency to the study of viral mechanisms of infection. But while vaccines offer a measure of protection against this specific outbreak, a new…

quant-ph2021★ 7 cited

Near Term Algorithms for Linear Systems of Equations

Aidan Pellow-Jarman, Ilya Sinayskiy, Anban Pillay +1

Finding solutions to systems of linear equations is a common prob\-lem in many areas of science and engineering, with much potential for a speedup on quantum devices. While the Har…

quant-ph2021★ 3 cited

Digital simulation of convex mixtures of Markovian and non-Markovian single qubit Pauli channels on NISQ devices

I J David, I Sinayskiy, F Petruccione

Quantum algorithms for simulating quantum systems provide a clear and provable advantage over classical algorithms in fault-tolerant settings. There is also interest in quantum alg…

quant-ph2021★ 102 cited

A Comparison of Various Classical Optimizers for a Variational Quantum Linear Solver

Aidan Pellow-Jarman, Ilya Sinayskiy, Anban Pillay +1

Variational Hybrid Quantum Classical Algorithms (VHQCAs) are a class of quantum algorithms intended to run on noisy intermediate-scale quantum (NISQ) devices. These algorithms empl…