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Pudenz et al., 2013 - Google Patents

Quantum adiabatic machine learning

Pudenz et al., 2013

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Document ID
9131243448383238426
Author
Pudenz K
Lidar D
Publication year
Publication venue
Quantum information processing

External Links

Snippet

We develop an approach to machine learning and anomaly detection via quantum adiabatic evolution. This approach consists of two quantum phases, with some amount of classical preprocessing to set up the quantum problems. In the training phase we identify an optimal …
Continue reading at aiichironakano.github.io (PDF) (other versions)

Classifications

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