Partial differential equations (PDEs) are ubiquitous in science and
engi...
We provide a new approach for compiling quantum simulation circuits that...
Accurate models of real quantum systems are important for investigating ...
We argue that an excess in entanglement between the visible and hidden u...
We introduce a novel Bayesian phase estimation technique based on adapti...
Preconditioning is the most widely used and effective way for treating
i...
An isolated system of interacting quantum particles is described by a
Ha...
The Lie-Trotter formula, together with its higher-order generalizations,...
The difficulty of simulating quantum dynamics depends on the norm of the...
In this article we provide a method for fully quantum generative trainin...
Phase estimation protocols provide a fundamental benchmark for the field...
The difficulty of validating large-scale quantum devices, such as Boson
...
Security for machine learning has begun to become a serious issue for pr...
We consider a generic framework of optimization algorithms based on grad...
We demonstrate how quantum computation can provide non-trivial improveme...
Heuristic optimisers which search for an optimal configuration of variab...
We provide a method for approximating Bayesian inference using rejection...
In recent years, deep learning has had a profound impact on machine lear...