We consider a problem in quantum theory that can be formulated as an optimisation problem and present a global optimisation algorithm for solving it, the foundation of which relies in turn on a theorem from quantum theory. To wit, we consider the maximal output purity $\nu_q$ of a quantum channel as measured by Schatten $q$-norms, for integer $q$. This quantity is of fundamental importance in the study of quantum channel capacities in quantum information theory. To calculate $\nu_q$ one has to solve a non-convex optimisation problem that typically exhibits local optima. We show that this particular problem can be approximated to arbitrary precision by an eigenvalue problem over a larger matrix space, thereby circumventing the problem of loc...
© 2020, The Author(s). A fundamental model of quantum computation is the programmable quantum gate a...
30 pages, 1 figureThe impressive progress in quantum hardware of the last years has raised the inter...
We determine the minimal experimental resources that ensure a unique solution in the estimation of t...
As the connection between classical and quantum worlds, quantum measurements play a unique role in t...
We investigate the entwined roles of information and quantum algorithms in reducing the complexity o...
The quantum approximate optimization algorithm (QAOA) is considered to be one of the most promising ...
Optimization is a fundamental area in mathematics and computer science, with many real-world applica...
The use of experimental data to constrain the values of the Wilson coefficients of an Effective Fiel...
The Quantum Approximate Optimization Algorithm (QAOA) is one of the promising near-term algorithms d...
This article deals with the quantum optimal discrimination among mixed quantum states enjoying geome...
In this dissertation we consider quantum algorithms for convex optimization. We start by considering...
The inherent noise and complexity of quantum communication networks leads to challenges in designing...
We discuss efficient methods to optimize the metrological performance over local Hamiltonians in a b...
Nature-inspired optimization relies on the observation of the efficacy of natural mechanisms for ach...
Quantum de Finetti theorems are a useful tool in the study of correlations in quantum multipartite s...
© 2020, The Author(s). A fundamental model of quantum computation is the programmable quantum gate a...
30 pages, 1 figureThe impressive progress in quantum hardware of the last years has raised the inter...
We determine the minimal experimental resources that ensure a unique solution in the estimation of t...
As the connection between classical and quantum worlds, quantum measurements play a unique role in t...
We investigate the entwined roles of information and quantum algorithms in reducing the complexity o...
The quantum approximate optimization algorithm (QAOA) is considered to be one of the most promising ...
Optimization is a fundamental area in mathematics and computer science, with many real-world applica...
The use of experimental data to constrain the values of the Wilson coefficients of an Effective Fiel...
The Quantum Approximate Optimization Algorithm (QAOA) is one of the promising near-term algorithms d...
This article deals with the quantum optimal discrimination among mixed quantum states enjoying geome...
In this dissertation we consider quantum algorithms for convex optimization. We start by considering...
The inherent noise and complexity of quantum communication networks leads to challenges in designing...
We discuss efficient methods to optimize the metrological performance over local Hamiltonians in a b...
Nature-inspired optimization relies on the observation of the efficacy of natural mechanisms for ach...
Quantum de Finetti theorems are a useful tool in the study of correlations in quantum multipartite s...
© 2020, The Author(s). A fundamental model of quantum computation is the programmable quantum gate a...
30 pages, 1 figureThe impressive progress in quantum hardware of the last years has raised the inter...
We determine the minimal experimental resources that ensure a unique solution in the estimation of t...