| Literature DB >> 33981049 |
Xiao Xue1,2, Bishnu Patra1,2,3, Jeroen P G van Dijk1,2,3, Nodar Samkharadze1,4, Sushil Subramanian5, Andrea Corna1,2, Brian Paquelet Wuetz1,2, Charles Jeon5, Farhana Sheikh5, Esdras Juarez-Hernandez6, Brando Perez Esparza6, Huzaifa Rampurawala5, Brent Carlton5, Surej Ravikumar5, Carlos Nieva5, Sungwon Kim5, Hyung-Jin Lee5, Amir Sammak1,4, Giordano Scappucci1,2, Menno Veldhorst1,2, Fabio Sebastiano1,3, Masoud Babaie1,3, Stefano Pellerano5, Edoardo Charbon7,8,9,10, Lieven M K Vandersypen11,12,13.
Abstract
The most promising quantum algorithms require quantum processors that host millions of quantum bits when targeting practical applications1. A key challenge towards large-scale quantum computation is the interconnect complexity. In current solid-state qubit implementations, an important interconnect bottleneck appears between the quantum chip in a dilution refrigerator and the room-temperature electronics. Advanced lithography supports the fabrication of both control electronics and qubits in silicon using technology compatible with complementary metal oxide semiconductors (CMOS)2. When the electronics are designed to operate at cryogenic temperatures, they can ultimately be integrated with the qubits on the same die or package, overcoming the 'wiring bottleneck'3-6. Here we report a cryogenic CMOS control chip operating at 3 kelvin, which outputs tailored microwave bursts to drive silicon quantum bits cooled to 20 millikelvin. We first benchmark the control chip and find an electrical performance consistent with qubit operations of 99.99 per cent fidelity, assuming ideal qubits. Next, we use it to coherently control actual qubits encoded in the spin of single electrons confined in silicon quantum dots7-9 and find that the cryogenic control chip achieves the same fidelity as commercial instruments at room temperature. Furthermore, we demonstrate the capabilities of the control chip by programming a number of benchmarking protocols, as well as the Deutsch-Josza algorithm10, on a two-qubit quantum processor. These results open up the way towards a fully integrated, scalable silicon-based quantum computer.Entities:
Year: 2021 PMID: 33981049 DOI: 10.1038/s41586-021-03469-4
Source DB: PubMed Journal: Nature ISSN: 0028-0836 Impact factor: 49.962