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Showing result 1 - 5 of 21 essays matching the above criteria.
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1. Decoding the surface code using graph neural networks
University essay from Göteborgs universitet / Institutionen för fysikAbstract : Quantum error correction is essential to achieve fault-tolerant quantum computation in the presence of noisy qubits. Among the most promising approaches to quantum error correction is the surface code, thanks to a scalable two-dimensional architecture, only nearest-neighbor interactions, and a high error threshold. Decoding the surface code, i.e. READ MORE
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2. Language Theoretic Properties of Graph Extension Languages : An Investigation of Graph Extension Grammars with Context Matching and Logic
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Graph extension grammars provide a way to define graph languages. They consist of a regular tree grammar and an algebra. The regular tree grammar generates trees, so-called derivation trees. Those are evaluated by the algebra into a set of graphs. READ MORE
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3. Quantum Error Correction Using Graph Neural Networks
University essay from Göteborgs universitet / Institutionen för fysikAbstract : A graph neural network (GNN) is constructed and trained with a purpose of using it as a quantum error correction decoder for depolarized noise on the surface code. Since associating syndromes on the surface code with graphs instead of grid-like data seemed promising, a previous decoder based on the Markov Chain Monte Carlo method was used to generate data to create graphs. READ MORE
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4. Chromosomal DNA Barcode Assembly Using Hierarchical Clustering Matrix Method: Including Elastic Matching
University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisationAbstract : Obtaining DNA sequences is a time-consuming task, which typically requires one or several days for completion. One way of reducing analysis times is to be satisfied with long-range sequence patterns on the order of thousands of base pairs. DNA barcoding is a DNA-characterising technique that works according to this principle. READ MORE
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5. Map-aided localization for autonomous driving using a particle filter
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Vehicles losing their GPS signal is a considerable issue for autonomous vehicles and can be a danger to people in their vicinity. To circumvent this issue, a particle filter localization technique using pre-generated offline Open Street Map (OSM) maps was investigated in a software simulation of Scania’s heavy-duty trucks. READ MORE