Collection
Special Issue in Honour of Prof. Peter Wittek
Peter Wittek has been an influential figure and a moving force in the exploration and
proliferation of quantum machine learning. In September 2019, to the utter dismay of the
scientific community, he disappeared in an avalanche during a mountaineering expedition on
Mt. Trishul in the Himalayas. Peter was a member of the editorial board at Quantum Machine
Intelligence and with this special issue we would like to honour, remember and celebrate
Peter’s achievements, interests and legacy. Trained as a mathematician and computer
scientist with no formal background in quantum physics, he authored the first topical book
on Quantum Machine Learning and quickly became a highly-regarded member of the
quantum computing community. His research was focused on quantum learning theory and
applications of high-performance learning algorithms for quantum physics involving both
classical machine learning for quantum data as well as quantum machine learning for classical
and quantum data. Peter was a passionate advocate of open, free and reproducible science
and most of his publications were accompanied by open source code. Hence in the spirit of
his memory, we would like to encourage all authors to consider publishing their work for this
special issue in an open access format. Furthermore, all submitted research works whose
authors wrote original software for the work must include a link to a publicly accessible
repository containing code released under an open source licence in order to boost
reproducibility and impact.
We hope that this special issue will attract numerous researchers, past friends and
collaborators of Peter as well as anyone else who is conducting research in one of Peter’s
areas of interest.
Editors
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Tomas Babej
ProteinQure, Canada
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Alessandra Di Pierro
University of Verona, Italy
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Mark Fingerhuth
ProteinQure & University of KwaZulu-Natal, South Africa
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Nana Liu
Shanghai Jiao Tong University, China
