Blind quantum computing (BQC) allows a client to have a server carry out a quantum
computation for them such that the client's input, output, and computation remain private. A …

We show how the quantum paradigm can be used to speed up unsupervised learning
algorithms. More precisely, we explain how it is possible to accelerate learning algorithms …

Translations between the quantum circuit model and the measurement-based one-way
model are useful for verification and optimisation of quantum computations. They make …

Buildings contribute to more than 70% of overall US electricity usage and greenhouse gas
(GHG) emissions. HVAC systems in buildings often consume more than 40% of the total …

Measurement-based quantum computation has emerged from the physics community as a
new approach to quantum computation where the notion of measurement is the main driving …

Fault-tolerant quantum error correction is a necessity for any quantum architecture destined
to tackle interesting, large-scale problems. Its theoretical formalism has been well founded …

This paper introduces a new evolutionary algorithm with the support of an actual quantum
processor, a computing device which uses phenomena from quantum mechanics to enable …

We extend the notion of quantum information flow defined by Danos and Kashefi (2006
Phys. Rev. A 74 052310) for the one-way model (Raussendorf and Briegel 2001 Phys. Rev …

Modular quantum computing architectures are a promising alternative to monolithic QPU
(Quantum Processing Unit) designs for scaling up quantum devices. They refer to a set of …

In this article the inherent computational power of the quantum entangled cluster states
examined by measurement-based quantum computations is studied. By defining a common …