Design of Nanoscale Quantum Interconnects Aided by Conditional Generative Adversarial Networks
Interconnecting nanodevices with the aim of assembling quantum computing architectures is one of the current outstanding challenges. At the nanoscale, the quantum interconnects become comparable in complexity with the active devices and should be treated on equal footing. In addition, they can play...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-01-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/14/3/1111 |
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| author | Amanda Teodora Preda Calin-Andrei Pantis-Simut Mihai Marciu Dragos-Victor Anghel Alaa Allosh Lucian Ion Andrei Manolescu George Alexandru Nemnes |
| author_facet | Amanda Teodora Preda Calin-Andrei Pantis-Simut Mihai Marciu Dragos-Victor Anghel Alaa Allosh Lucian Ion Andrei Manolescu George Alexandru Nemnes |
| author_sort | Amanda Teodora Preda |
| collection | DOAJ |
| description | Interconnecting nanodevices with the aim of assembling quantum computing architectures is one of the current outstanding challenges. At the nanoscale, the quantum interconnects become comparable in complexity with the active devices and should be treated on equal footing. In addition, they can play an active role in the switching properties. Here, we investigate the charge localization in neuromorphic bi-dimensional systems, which serve as quantum interconnects (QIs) between quantum dot registers. We define a device structure where, by manipulating the charging of a floating gate array, one defines the QI potential map, which can host a few interacting electrons. The ground state charge density may be extracted by measuring the tunneling current perpendicular to the device surface, yielding a convoluted image of the electron distribution. Using image-to-image translation methods, we achieve the mapping of the charge density from the confinement potential, as well as by deconvoluting the tunneling current map, which can be obtained by a direct measurement. Thus, we provide a proof-of-concept for a reconfigurable device, which can be used to design quantum many-electron devices. |
| first_indexed | 2024-03-08T04:01:08Z |
| format | Article |
| id | doaj.art-f9643c189d0a46edb2235d0e89129d0c |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-08T04:01:08Z |
| publishDate | 2024-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-f9643c189d0a46edb2235d0e89129d0c2024-02-09T15:07:47ZengMDPI AGApplied Sciences2076-34172024-01-01143111110.3390/app14031111Design of Nanoscale Quantum Interconnects Aided by Conditional Generative Adversarial NetworksAmanda Teodora Preda0Calin-Andrei Pantis-Simut1Mihai Marciu2Dragos-Victor Anghel3Alaa Allosh4Lucian Ion5Andrei Manolescu6George Alexandru Nemnes7Faculty of Physics, University of Bucharest, Atomistilor 405, 077125 Magurele-Ilfov, RomaniaFaculty of Physics, University of Bucharest, Atomistilor 405, 077125 Magurele-Ilfov, RomaniaFaculty of Physics, University of Bucharest, Atomistilor 405, 077125 Magurele-Ilfov, RomaniaFaculty of Physics, University of Bucharest, Atomistilor 405, 077125 Magurele-Ilfov, RomaniaFaculty of Physics, University of Bucharest, Atomistilor 405, 077125 Magurele-Ilfov, RomaniaFaculty of Physics, University of Bucharest, Atomistilor 405, 077125 Magurele-Ilfov, RomaniaDepartment of Engineering, Reykjavik University, Menntavegur 1, IS-102 Reykjavik, IcelandFaculty of Physics, University of Bucharest, Atomistilor 405, 077125 Magurele-Ilfov, RomaniaInterconnecting nanodevices with the aim of assembling quantum computing architectures is one of the current outstanding challenges. At the nanoscale, the quantum interconnects become comparable in complexity with the active devices and should be treated on equal footing. In addition, they can play an active role in the switching properties. Here, we investigate the charge localization in neuromorphic bi-dimensional systems, which serve as quantum interconnects (QIs) between quantum dot registers. We define a device structure where, by manipulating the charging of a floating gate array, one defines the QI potential map, which can host a few interacting electrons. The ground state charge density may be extracted by measuring the tunneling current perpendicular to the device surface, yielding a convoluted image of the electron distribution. Using image-to-image translation methods, we achieve the mapping of the charge density from the confinement potential, as well as by deconvoluting the tunneling current map, which can be obtained by a direct measurement. Thus, we provide a proof-of-concept for a reconfigurable device, which can be used to design quantum many-electron devices.https://www.mdpi.com/2076-3417/14/3/1111quantum interconnectsneuromorphic devicesquantum computingconditional generative adversarial network |
| spellingShingle | Amanda Teodora Preda Calin-Andrei Pantis-Simut Mihai Marciu Dragos-Victor Anghel Alaa Allosh Lucian Ion Andrei Manolescu George Alexandru Nemnes Design of Nanoscale Quantum Interconnects Aided by Conditional Generative Adversarial Networks Applied Sciences quantum interconnects neuromorphic devices quantum computing conditional generative adversarial network |
| title | Design of Nanoscale Quantum Interconnects Aided by Conditional Generative Adversarial Networks |
| title_full | Design of Nanoscale Quantum Interconnects Aided by Conditional Generative Adversarial Networks |
| title_fullStr | Design of Nanoscale Quantum Interconnects Aided by Conditional Generative Adversarial Networks |
| title_full_unstemmed | Design of Nanoscale Quantum Interconnects Aided by Conditional Generative Adversarial Networks |
| title_short | Design of Nanoscale Quantum Interconnects Aided by Conditional Generative Adversarial Networks |
| title_sort | design of nanoscale quantum interconnects aided by conditional generative adversarial networks |
| topic | quantum interconnects neuromorphic devices quantum computing conditional generative adversarial network |
| url | https://www.mdpi.com/2076-3417/14/3/1111 |
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