April 24, 2023, 12:45 a.m. | Nouhaila Innan, Muhammad Al-Zafar Khan

cs.LG updates on arXiv.org arxiv.org

DNA sequencing allows for the determination of the genetic code of an
organism, and therefore is an indispensable tool that has applications in
Medicine, Life Sciences, Evolutionary Biology, Food Sciences and Technology,
and Agriculture. In this paper, we present several novel methods of performing
classical-to-quantum data encoding inspired by various mathematical fields, and
we demonstrate these ideas within Bioinformatics. In particular, we introduce
algorithms that draw inspiration from diverse fields such as Electrical and
Electronic Engineering, Information Theory, Differential Geometry, …

agriculture algorithms applications architectures arxiv bioinformatics biology code data diverse dna dna sequencing electronic encoding engineering fields food genomics geometry ideas information life life sciences medicine network neural network novel overview paper quantum quantum data sequencing technology theory tool

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Data Analyst

@ Aviva | UK - Norwich - Carrara - 1st Floor

Werkstudent im Bereich Performance Engineering mit Computer Vision (w/m/div.) - anteilig remote

@ Bosch Group | Stuttgart, Lollar, Germany

Applied Research Scientist - NLP (Senior)

@ Snorkel AI | Hybrid / San Francisco, CA

Associate Principal Engineer, Machine Learning

@ Nagarro | Remote, India