2023 Fiscal Year Annual Research Report
Realization of high-fidelity quantum logic gates using electron spins on superfluid helium
| Project/Area Number |
23H01795
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| Allocation Type | Single-year Grants |
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| Research Institution | Okinawa Institute of Science and Technology Graduate University |
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Principal Investigator |
コンスタンチノフ デニス 沖縄科学技術大学院大学, 量子ダイナミクスユニット, 教授 (50462685)
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| Project Period (FY) |
2023-04-01 – 2027-03-31
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| Keywords | electrons on helium / Rydberg states / cryogenic HEMT amplifier / resonant LC circuit |
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| Outline of Annual Research Achievements |
In accordance with the "Purpose of the research" and "Research plan" for this grant, in FY2023 we have developed a new sensitive transconductance amplifier to detect the Rydberg transition of electrons trapped on the surface of superfluid helium. The amplifier is based on a high-Q tank circuit, which converts the image current from electrons into a small voltage signal, followed by a cryogenic low-noise HEMT amplifier. The cryogenic testing of the amplifier demonstrated exceptionally good noise characteristics, with the voltage noise 0.6 nV per root Hz and the current noise 1.5 fA per root Hz (see publication list). Using this amplifier, we were able to demonstrate detection of the Rydberg resonance from about 100 electrons trapped in a microchannel device filled with supefluid helium.
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| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
The project progressed in FY2023 according to the plan. A resonant cryogenic amplifier has been built and the image-charge detection of the Rydberg transition of many electrons has been demonstrated.
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| Strategy for Future Research Activity |
The developed ultra-sensitive amplifier for the image current detection demonstrated an exceptionally good noise and gain characteristics (see publication list) which should sufficient to detect the Rydberg transition from a single trapped electron. The detection method has been successfully demonstrated on about 100 of electrons trapped in a microchannel device. Scaling of this device and detection method to a single trapped electron is the goal of the project in FY2024.
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Research Products
(6 results)
