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Quantum walk neural networks with feature dependent coins
Recent neural networks designed to operate on graph-structured data have proven effective in many domains. These graph neural networks often diffuse information using the spatial structure of the graph. We propose a quantum walk neural network that learns a diffusion operation that is not only dependent on the geometry of the graph but also on the features of the nodes and the learning task. A quantum walk neural network is based on learning the coin operators that determine the behavior of quantum random walks, the quantum parallel to classical random walks. We demonstrate the effectiveness of our method on multiple classification and regression tasks at both node and graph levels
Quantum Computer: Hello, Music!
Quantum computing is emerging as a promising technology, which is built on
the principles of subatomic physics. By the time of writing, fully fledged
practical quantum computers are not widely available. But research and
development are advancing rapidly. Various software simulators are already
available. And a few companies have already started to provide access to
quantum hardware via the cloud. These initiatives have enabled experiments with
quantum computing to tackle some realistic problems in science; e.g., in
chemistry and cryptography. In spite of continuing progress in developing
increasingly more sophisticated hardware and software, research in quantum
computing has been focusing primarily on developing scientific applications. Up
till now there has been virtually no research activity aimed at widening the
range of applications of this technology beyond science and engineering. In
particular applications for the entertainment industry and creative economies.
This article introduces a new field of research, which is referred to as
Quantum Computer Music. This research is aimed at the development of quantum
computing tools and approaches to creating, performing, listening to and
distributing music. The article begins with a brief historical background.
Then, it introduces the notion of algorithmic music and presents two quantum
computer music systems: a singing voice synthesiser and a musical sequencer
based on quantum walk. A primer on quantum computing is also given. The chapter
ends with a concluding discussion and advice for further work to develop this
new exciting area of research