A Survey on quantum computing technology
By Laszlo Gyongyosi, Sándor Imre. Computer Science Review, 2019
546 citations recorded by the source corpus.
Abstract The power of quantum computing technologies is based on the fundamentals of quantum mechanics, such as quantum superposition, quantum entanglement, or the no-cloning theorem. Since these phenomena have no classical analogue, similar results cannot be achieved within the framework of traditional computing. The experimental insights of quantum computing technologies have already been demonstrated, and several studies are in progress. Here we review the most recent results of quantum computation technology and address the open problems of the field.
Subfields: Artificial Intelligence, Atomic and Molecular Physics, and Optics
View Paper: https://www.semanticscholar.org/paper/0af24df95f8a0b7e6fc257a98a5820314d1243f3
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Citations in the corpus
- Experimental photonic quantum memristor (2021, background): “[1] Laszlo Gyongyosi and Sandor Imre, “A survey on quantum computing technology,” Computer Science Review 31, 51–71 (2019).”
- Quantum computing: A taxonomy, systematic review and future directions (2020, background): “Savchuk and Fesenko [14] presented a general overview of quantum computing research, while Gyongyosi and Imre [15] discussed the fundamentals of quantum mechanics, such as quantum entanglement and quantum superposition.”
- Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges (2019, background): “Open Challenges and Trends: The interested readers can further explore using extensive survey on Quantum Computing [174].”
- Quantum Machine Learning for 6G Communication Networks: State-of-the-Art and Vision for the Future (2019, background): “Previous works have separately characterized ML, QC, QML, and communication networks, see e.g., [1], [28], [29], [39]–[43], and [2], [3], [22], respectively.”