In the quantum-Bayesian interpretation of quantum theory (or QBism), the Born rule cannot
be interpreted as a rule for setting measurement-outcome probabilities from an objective …

The main purpose of this paper is to examine some (potential) applications of quantum
computation in AI and to review the interplay between quantum theory and AI. For the …

Much of our understanding of human thinking is based on probabilistic models. This
innovative book by Jerome R. Busemeyer and Peter D. Bruza argues that, actually, the …

Intuitively, if a density operator has small rank, then it should be easier to estimate from
experimental data, since in this case only a few eigenvectors need to be learned. We prove …

In the Bayesian approach to probability theory, probability quantifies a degree of belief for a
single trial, without any a priori connection to limiting frequencies. In this paper, we show …

Accurately inferring the state of a quantum device from the results of measurements is a
crucial task in building quantum information processing hardware. The predominant state …

We present an elementary proof of the quantum de Finetti representation theorem, a
quantum analog of de Finetti's classical theorem on exchangeable probability assignments …

This article summarizes the Quantum Bayesian point of view of quantum mechanics, with
special emphasis on the view's outer edges---dubbed QBism. QBism has its roots in …

In this paper, I try once again to cause some good-natured trouble. The issue remains, when
will we ever stop burdening the taxpayer with conferences devoted to the quantum …

Abstract In the Philosophical Investigations, Ludwig Wittgenstein wrote,“'I'is not the name of
a person, nor 'here'of a place,.... But they are connected with names....[And] it is …