Quantum Machine Intelligence

Alessandra Di Pierro; Luca Viganò

Quantum Machine Intelligence

Alessandra Di Pierro, Luca Viganò

University of Verona

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

Aspects of human intelligence such as learning, problem solving and prioritization can be emulated by machines by appropriately programming them to perform those tasks. This is how machine intelligence is created. In order to be able to exhibit intelligent behavior, machines must rely on some machine learning methods, as well as a battery of automation techniques, and the ability to smartly prioritize and deploy them in the right order. In this paper we talk about the use of quantum computing for supporting the development of machine intelligence. In particular, we explain the potentialities of quantum learning, i.e. the task of learning from examples by programming a quantum computer.

Original language	English
Title of host publication	Mapping the Posthuman
Publisher	Routledge
Number of pages	6
Publication status	Accepted/In press - 27 Aug 2022

Cite this

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title = "Quantum Machine Intelligence",

abstract = "Aspects of human intelligence such as learning, problem solving and prioritization can be emulated by machines by appropriately programming them to perform those tasks. This is how machine intelligence is created. In order to be able to exhibit intelligent behavior, machines must rely on some machine learning methods, as well as a battery of automation techniques, and the ability to smartly prioritize and deploy them in the right order. In this paper we talk about the use of quantum computing for supporting the development of machine intelligence. In particular, we explain the potentialities of quantum learning, i.e. the task of learning from examples by programming a quantum computer.",

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AU - Viganò, Luca

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AB - Aspects of human intelligence such as learning, problem solving and prioritization can be emulated by machines by appropriately programming them to perform those tasks. This is how machine intelligence is created. In order to be able to exhibit intelligent behavior, machines must rely on some machine learning methods, as well as a battery of automation techniques, and the ability to smartly prioritize and deploy them in the right order. In this paper we talk about the use of quantum computing for supporting the development of machine intelligence. In particular, we explain the potentialities of quantum learning, i.e. the task of learning from examples by programming a quantum computer.

M3 - Chapter

BT - Mapping the Posthuman

PB - Routledge

ER -

Quantum Machine Intelligence

Abstract

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