While the exponential complexity of quantum systems is the basis of counterintuitive phenomena such as quantum computing, it also represents a fundamental challenge: how can we, classical beings, study, understand, and control quantum systems that are exponentially more powerful than ourselves? In this dissertation, we present classical methods to approach two such issues.Firstly, we discuss the testing of quantum devices, particularly special-purpose quantum computers. We propose a simple classical model for quantum annealers, arguably the most intensely explored class of special-purpose quantum computers. The model provides a benchmark against which to compare the quantum annealer, in what may be called a "quantum Turing test," to determi...
Recently, a team of scientists from Google claims to have carried a computation on their noisy, inte...
This thesis studies strengths and weaknesses of quantum computers. In the first part we present thre...
Computational complexity theory is usually phrased in terms of decision problems and Boolean functio...
In recent years, programmable quantum devices have reached sizes and complexities which put them out...
Empirical thesis.Degree carried out under a cotutelle program with the University of Waterloo.Biblio...
Since they were first envisioned, quantum computers have oft been portrayed as devices of limitless ...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Comp...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Physics, 2015.Cataloged from PD...
Quantum computing seeks to use the powers of quantum mechanics to accomplish tasks that classical co...
A model of quantum computation based on unitary ma-trix operations was introduced by Feynman and Deu...
Quantum annealing, or quantum stochastic optimization, is a classical randomized algorithm which pro...
Quantum annealing, or quantum stochastic optimization, is a classical randomized algorithm which pro...
Recently, a team of scientists from Google claims to have carried a computation on their noisy, inte...
Quantum annealing, or quantum stochastic optimization, is a classical randomized algorithm which pro...
Quantum annealing, or quantum stochastic optimization, is a classical randomized algorithm which pro...
Recently, a team of scientists from Google claims to have carried a computation on their noisy, inte...
This thesis studies strengths and weaknesses of quantum computers. In the first part we present thre...
Computational complexity theory is usually phrased in terms of decision problems and Boolean functio...
In recent years, programmable quantum devices have reached sizes and complexities which put them out...
Empirical thesis.Degree carried out under a cotutelle program with the University of Waterloo.Biblio...
Since they were first envisioned, quantum computers have oft been portrayed as devices of limitless ...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Comp...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Physics, 2015.Cataloged from PD...
Quantum computing seeks to use the powers of quantum mechanics to accomplish tasks that classical co...
A model of quantum computation based on unitary ma-trix operations was introduced by Feynman and Deu...
Quantum annealing, or quantum stochastic optimization, is a classical randomized algorithm which pro...
Quantum annealing, or quantum stochastic optimization, is a classical randomized algorithm which pro...
Recently, a team of scientists from Google claims to have carried a computation on their noisy, inte...
Quantum annealing, or quantum stochastic optimization, is a classical randomized algorithm which pro...
Quantum annealing, or quantum stochastic optimization, is a classical randomized algorithm which pro...
Recently, a team of scientists from Google claims to have carried a computation on their noisy, inte...
This thesis studies strengths and weaknesses of quantum computers. In the first part we present thre...
Computational complexity theory is usually phrased in terms of decision problems and Boolean functio...