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20182022
most citedQuantum Correlations in the Kerr Ising Model

17 citations · 65 across the 7 of their papers we have counts for

collaborators

7 papers

quant-ph2022★ 6 cited

Quantum Kernel Evaluation via Hong-Ou-Mandel Interference

Cassandra Bowie, Sally Shrapnel, Michael Kewming

One of the fastest growing areas of interest in quantum computing is its use within machine learning methods, in particular through the application of quantum kernels. Despite this…

quant-ph2021★ 15 cited

Entropy production and fluctuation theorems in a continuously monitored optical cavity at zero temperature

M. J. Kewming, S. Shrapnel

Fluctuation theorems allow one to make generalised statements about the behaviour of thermodynamic quantities in systems that are driven far from thermal equilibrium. In this artic…

physics.hist-ph2020★ 1 cited

Physical grounds for causal perspectivalism

G. J. Milburn, S. Shrapnel, P. W. Evans

We ground the asymmetry of causal relations in the internal physical states of a special kind of open and irreversible physical system, a causal agent. A causal agent is an autonom…

quant-ph2020★ 11 cited

A Physical Quantum Agent

Michael. J. Kewming, Sally Shrapnel, Gerard. J. Milburn

The concept of an embodied intelligent agent is a key concept in modern artificial intelligence and robotics. Physically, an agent is an open system embedded in an environment that…

quant-ph2019★ 17 cited

Quantum Correlations in the Kerr Ising Model

Michael Kewming, Sally Shrapnel, Gerard Milburn

In this article we present a full description of the quantum Kerr Ising model---a linear optical network of parametrically pumped Kerr non-linearities. We consider the non-dissapat…

quant-ph2019★ 10 cited

Hiding Ignorance Using High Dimensions

M. J. Kewming, S. Shrapnel, A. G. White +1

The absence of information -- entirely or partly -- is called ignorance. Naturally, one might ask if some ignorance of a whole system will imply some ignorance of its parts. Our cl…

quant-ph2018★ 5 cited

Classical and Quantum Causal Interventions

G. J. Milburn, Sally Shrapnel

Characterising causal structure is an activity that is ubiquitous across the sciences. Causal models are representational devices that can be used as oracles for future interventio…