I bought this book after I visited a website about quantum field theory. One recommendation of this website was this book. It was mentioned that the author is one of the authorities in physics teaching. This en
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A: Quantum theory is often said to be the most successful theory ever conceived in physics, and yet its formalism cannot predict the outcome of a measurement: it can only predict averages. It’s as if there is a layer beyond which no one can look. This becomes painfully clear when you ...
As the authors concluded, their scheme is the first algorithm for recommendation systems that runs in time polylogarithmic in the dimensions of the matrix and provides an example of a quantum machine learning algorithm for a real world application. In [295], the authors studied a quantum–...
For example, in expert or recommender systems, when an evaluation (or recommendation) is considered, usually the truthfulness of the evaluation cannot be assumed as absolute. In another work, Baltag et al. demonstrate that the non-classicality of quantum logic is only due to the non-classical ...
(in- and out-of-classroom), prediction (of student performance, engagement and growth), knowledge representation (graph construction and tracing), feedback (real time or post-hoc and feedback on feedback), content generation (of questions, tasks, code and replies), and recommendation (e.g.,...
The theory of balanced homodyne and heterodyne detection is developed for inputs in which the signal field is in an arbitrary quantum state and the local-oscillator field is in a highly excited coherent state. Exact expressions are derived for the photocount moment-generating functions in the spec...
But I have a question about a linguistic application that *sounds* like it might be related to this recommendation problem. In morphology, we have languages with multiple inflection classes, like Spanish -ar/-er/-ir verbs (similar systems in other Romance languages); the set of affixes is th...
The theory section should lay the foundation for further work by extending the background you provided in the introduction to your article. The calculation section should represent a practical development from a theoretical basis. Glossary Please provide definitions of field-specific terms used in your...
Clinical decision support system dose adaptation recommendation. Comparison between retrospective clinical decision and AI recommendations obtained from the quantum deep reinforcement learning (qDRL) model trained in the IBMQ quantum processor. Each datapoint corresponds to the dose decision (dose per fracti...