5 citations · 5 across the 2 of their papers we have counts for
8 papers · 1 filter
Energetic advantages for quantum agents in online execution of complex strategies
Jayne Thompson, Paul M. Riechers, Andrew J. P. Garner +2
Agents often execute complex strategies -- adapting their response to each input stimulus depending on past observations and actions. Here, we derive the minimal energetic cost for…
Provable superior accuracy in machine learned quantum models
Chengran Yang, Andrew Garner, Feiyang Liu +5
In modelling complex processes, the potential past data that influence future expectations are immense. Models that track all this data are not only computationally wasteful but al…
Extreme dimensionality reduction with quantum modelling
Thomas J. Elliott, Chengran Yang, Felix C. Binder +3
Effective and efficient forecasting relies on identification of the relevant information contained in past observations -- the predictive features -- and isolating it from the rest…
Semi-device-independent information processing with spatiotemporal degrees of freedom
Andrew J. P. Garner, Marius Krumm, Markus P. Mueller
Nonlocality, as demonstrated by the violation of Bell inequalities, enables device-independent cryptographic tasks that do not require users to trust their apparatus. In this artic…
Resource theories of multi-time processes: A window into quantum non-Markovianity
Graeme D. Berk, Andrew J. P. Garner, Benjamin Yadin +2
We investigate the conditions under which an uncontrollable background processes may be harnessed by an agent to perform a task that would otherwise be impossible within their oper…
On defining the Hamiltonian beyond quantum theory
Dominic Branford, Oscar C. O. Dahlsten, Andrew J. P. Garner
Energy is a crucial concept within classical and quantum physics. An essential tool to quantify energy is the Hamiltonian. Here, we consider how to define a Hamiltonian in general…