13 citations · 28 across the 7 of their papers we have counts for
8 papers
Floquet-Universal Hamiltonian Simulation
Emilio Onorati, Harriet Apel, Michael M. Wolf +1
Analogue and digital Hamiltonian simulation represent two distinct approaches to making one quantum system replicate the physical properties of another, with consequences ranging f…
A sharper Magnus expansion bound woven in binary branches
Harriet Apel, Toby Cubitt, Emilio Onorati
The Magnus expansion provides an exponential representation of one-parameter operator families, expressed as a series expansion in their generators. This is particularly relevant i…
Robust Lindbladian Estimation for Quantum Dynamics
Yinchen Liu, James R. Seddon, Tamara Kohler +2
We revisit the problem of fitting Lindbladian models to the outputs of quantum process tomography. A sequence of prior theoretical works approached the problem by considering wheth…
Provably Efficient Learning of Phases of Matter via Dissipative Evolutions
Emilio Onorati, Cambyse Rouzé, Daniel Stilck França +1
The combination of quantum many-body and machine learning techniques has recently proved to be a fertile ground for new developments in quantum computing. Several works have shown…
Fitting time-dependent Markovian dynamics to noisy quantum channels
Emilio Onorati, Tamara Kohler, Toby S. Cubitt
Understanding how to characterise and mitigate errors is a key challenge in developing reliable quantum architecture for near-term applications. Recent work (arXiv:2103.17243) prov…
Efficient learning of ground & thermal states within phases of matter
Emilio Onorati, Cambyse Rouzé, Daniel Stilck França +1
We consider two related tasks: (a) estimating a parameterisation of a given Gibbs state and expectation values of Lipschitz observables on this state; and (b) learning the expectat…
Fitting quantum noise models to tomography data
Emilio Onorati, Tamara Kohler, Toby S. Cubitt
The presence of noise is currently one of the main obstacles to achieving large-scale quantum computation. Strategies to characterise and understand noise processes in quantum hard…
Uncomputably Complex Renormalisation Group Flows
James D. Watson, Emilio Onorati, Toby S. Cubitt
Renormalisation group (RG) methods provide one of the most important techniques for analysing the physics of many-body systems, both analytically and numerically. By iterating an R…