3 papers
cs.CL2019
Towards Learning Cross-Modal Perception-Trace Models
Achim Rettinger, Viktoria Bogdanova, Philipp Niemann
Representation learning is a key element of state-of-the-art deep learning approaches. It enables to transform raw data into structured vector space embeddings. Such embeddings are…
quant-ph2019
One Additional Qubit is Enough: Encoded Embeddings for Boolean Components in Quantum Circuits
Alwin Zulehner, Philipp Niemann, Rolf Drechsler +1
Research on quantum computing has recently gained significant momentum since first physical devices became available. Many quantum algorithms make use of so-called oracles that imp…
cs.ET2018
Near Zero-Energy Computation Using Quantum-dot Cellular Automata
Frank Sill Torres, Philipp Niemann, Robert Wille +1
Near zero-energy computing describes the concept of executing logic operations below the (kBT ln 2) energy limit. Landauer discussed that it is impossible to break this limit as lo…