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Published in 2020 at "ACS nano"
DOI: 10.1021/acsnano.0c02390
Abstract: Quantum dots (QDs) are nanocrystals with bright fluorescence and long-term photostability, attributes particularly beneficial for single-molecule imaging and molecular counting in the life sciences. The size of a QD nanocrystal determines its physicochemical and photophysical…
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Keywords:
single molecule;
quantum dot;
optimizing quantum;
size ... See more keywords
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Published in 2024 at "Physical review letters"
DOI: 10.1103/physrevlett.134.030801
Abstract: Quantum tomography approaches typically consider a set of observables that we wish to measure, designing a measurement scheme that measures each of the observables and then repeats the measurements as many times as necessary. We…
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Keywords:
measurements partitioning;
multisets observables;
partitioning multisets;
quantum measurements ... See more keywords
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Published in 2025 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2024.3471949
Abstract: Quantum neural networks (QNNs) hold immense potential for complex tasks by harnessing quantum entanglement and superposition, such as physics simulation, artificial intelligence, and cryptography. However, the presence of quantum noise, stemming from hardware imperfections and…
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Keywords:
noise;
optimizing quantum;
quantum neural;
spatial temporal ... See more keywords
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Published in 2023 at "Entropy"
DOI: 10.3390/e25060860
Abstract: The discovery of quantum algorithms offering provable advantages over the best known classical alternatives, together with the parallel ongoing revolution brought about by classical artificial intelligence, motivates a search for applications of quantum information processing…
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Keywords:
quantum classification;
classification;
algorithms classical;
optimizing quantum ... See more keywords