Titlebook: Supervised Learning with Quantum Computers; Maria Schuld,Francesco Petruccione Book 2018 Springer Nature Switzerland AG 2018 quantum phase

heirloom

Prospects for Near-Term Quantum Machine Learning,In order to run the quantum machine learning algorithms presented in this book we often assumed to have a universal, large-scale, error-corrected quantum computer available. . means that the computer can implement any unitary operation for the quantum system it is based on, and therefore any quantum algorithm we can think of.

健谈

地壳

Introduction,mmed. Quantum computing, on the other hand, describes information processing with devices based on the laws of quantum theory. Both machine learning and quantum computing are expected to play a role in how society deals with information in the future and it is therefore only natural to ask how they

种属关系

Quantum Information, closely familiar with quantum information. Quantum theory is notorious for being complicated, puzzling and difficult (or even impossible) to understand. Although this impression is debatable, giving a short introduction into quantum theory is indeed a challenge for two reasons: On the one hand its

Traumatic-Grief

Quantum Advantages,machine learning. Although quantum computing researchers often focus on asymptotic computational speedups, there is more than one measure of merit when it comes to machine learning. We will discuss three dimensions here, namely the ., the .and the .. While the section on computational complexity all

nocturnal

fluffy

Quantum Computing for Inference, algorithms. As laid out in the introduction, there are two strategies to solve learning task with quantum computers. First, one can try to translate a classical machine learning method into the language of quantum computing. The challenge here is to combine quantum routines in a clever way so that

landmark

Quantum Computing for Training,ing a quantum instead of a classical device. This chapter will be concerned with how to optimise models using quantum computers, a subject targeted by a large share of the quantum machine learning literature.

遗产

尊重