Home > Publications database > QUOCCA.SET: A Scalable Readout IC for Semiconductor Quantum Dots > print |
001 | 1043735 | ||
005 | 20250728202334.0 | ||
037 | _ | _ | |a FZJ-2025-03017 |
100 | 1 | _ | |a Bühler, Jonas |0 P:(DE-Juel1)187429 |b 0 |u fzj |
111 | 2 | _ | |a APS Global Physics Summit 2025 |c Anaheim |d 2025-03-16 - 2025-03-21 |w USA |
245 | _ | _ | |a QUOCCA.SET: A Scalable Readout IC for Semiconductor Quantum Dots |
260 | _ | _ | |c 2025 |
336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
336 | 7 | _ | |a Other |2 DataCite |
336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
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520 | _ | _ | |a Universal quantum computing, requires a scalable system with millions of qubits. One of the current bottlenecks is a fast and high fidelity readout without limiting the scalability by area consumption, wiring, or power dissipation. We address this challenge by developing an integrated readout circuitry (IC), in a 22 nm FD-SOI technology, operating at deep cryogenic temperatures. The IC will be connected to a Single Electron Transistor (SET). The prototype is made for reading out two SETs. It implements a high speed mode, to perform a single bit readout to distinct │0〉and │1〉state and a high resolution mode for tuning, which amplifies the signal and passes it to the room-temperature electronics.We characterize this IC inside a closed cycle Gifford-McMahon cryostat at a temperature of 6 K. The measurement shows a power consumption of 33.6 µW/SET for the single bit readout and 216 µW for the high-resolution mode. With a sampling time of 2×1 µs, the circuit shows low noise of 223 pA (1σ) for single bit readout, while the high-resolution mode has an input-referred noise level of 188 pA RMS (10 Hz to 1 MHz).With its high bandwidth, low input noise and low power consumption, this IC paves the way for scalable integrated readout and is a decisive step on the way to universal quantum computing. |
536 | _ | _ | |a 5223 - Quantum-Computer Control Systems and Cryoelectronics (POF4-522) |0 G:(DE-HGF)POF4-5223 |c POF4-522 |f POF IV |x 0 |
700 | 1 | _ | |a Nielinger, Dennis |0 P:(DE-Juel1)168167 |b 1 |u fzj |
700 | 1 | _ | |a Ashok, Arun |0 P:(DE-Juel1)176328 |b 2 |u fzj |
700 | 1 | _ | |a Duipmans, Lammert |0 P:(DE-Juel1)186966 |b 3 |u fzj |
700 | 1 | _ | |a Grewing, Christian |0 P:(DE-Juel1)159350 |b 4 |u fzj |
700 | 1 | _ | |a Kruth, Andre |0 P:(DE-Juel1)156521 |b 5 |u fzj |
700 | 1 | _ | |a Kusuma, Sabitha |0 P:(DE-Juel1)187432 |b 6 |u fzj |
700 | 1 | _ | |a Mair, Carl-Jonas |0 P:(DE-Juel1)194314 |b 7 |u fzj |
700 | 1 | _ | |a Schubert, Petra |0 P:(DE-Juel1)174244 |b 8 |u fzj |
700 | 1 | _ | |a Vliex, Patrick |0 P:(DE-Juel1)171680 |b 9 |u fzj |
700 | 1 | _ | |a Zambanini, Andre |0 P:(DE-Juel1)145837 |b 10 |u fzj |
700 | 1 | _ | |a van Waasen, Stefan |0 P:(DE-Juel1)142562 |b 11 |u fzj |
856 | 4 | _ | |u https://summit.aps.org/events/MAR-G19/4 |
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913 | 1 | _ | |a DE-HGF |b Key Technologies |l Natural, Artificial and Cognitive Information Processing |1 G:(DE-HGF)POF4-520 |0 G:(DE-HGF)POF4-522 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Quantum Computing |9 G:(DE-HGF)POF4-5223 |x 0 |
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