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NDT.net Issue: 2022-03
11th Conference on Industrial Computed Tomography (iCT) 2022, 8-11 Feb, Wels, Austria (iCT 2022) | Vol. 27(3)
Special Issue of e-Journal of Nondestructive Testing (eJNDT) ISSN 1435-4934 Vol. 27(3)
Session: CT Data Processing and Visualization
Thu 15:40 virtual
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Quantum Computing and Computed Tomography: A Roadmap towards QuantumCT

Richard Schielein21, Melanie Basting4, Kilian Dremel10, Markus Firsching25, Theobald O.J. Fuchs32, Jonas Graetz, Stefan KasperlORCID: 0000-0002-8118-760945, Dimitri Prjamkov5, Simon Semmler4, Daniel Suth8, Mareike Weule4
Development Center X-ray technology (EZRT); Fraunhofer Institute for Integrated Circuits (IIS)229, Fürth, Germany

Abstract: Quantum computing (QC) is considered as a rising star of computing technologies with very promising possibilities towards novel solutions of even more complex computing tasks than those which are tackled using today’s supercomputers. However, direct use in everyday applications is lacking both: large scale quantum computers and quantum algorithms, i.e. software. We are carrying out the first project on a road towards QC enabled Computed Tomography (CT). In our paper we present this project after its first out of five years duration and share the first steps we made with the community. It is worth to mention that the hardware for QC is still in a phase of development, which implies that most of the software research is in a phase of becoming ready for productional use cases.

Keywords: imaging (130), optimization (32), reconstruction (53), Computed Tomography (369), algorithm (4), quantum computing (3),
*Keywords are freely formed keywords from the authors and thus you may Search also for similar terms.

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Schielein, Richard

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Schielein, R., Basting, M., Dremel, K., Firsching, M., Fuchs, T., Graetz, J., Kasperl, S., Prjamkov, D., Semmler, S., Suth, D., & Weule, M. (2022). Quantum Computing and Computed Tomography: A Roadmap towards QuantumCT. 11th Conference on Industrial Computed Tomography (iCT) 2022, 8-11 Feb, Wels, Austria. e-Journal of Nondestructive Testing Vol. 27(3). https://doi.org/10.58286/26565

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