Literature DB >> 33981049

CMOS-based cryogenic control of silicon quantum circuits.

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


  5 in total

1.  Fast universal quantum gate above the fault-tolerance threshold in silicon.

Authors:  Akito Noiri; Kenta Takeda; Takashi Nakajima; Takashi Kobayashi; Amir Sammak; Giordano Scappucci; Seigo Tarucha
Journal:  Nature       Date:  2022-01-19       Impact factor: 69.504

2.  Surface code for low-density qubit array.

Authors:  Tatsuya Tomaru; Chihiro Yoshimura; Hiroyuki Mizuno
Journal:  Sci Rep       Date:  2022-07-28       Impact factor: 4.996

3.  Quantum error correction with silicon spin qubits.

Authors:  Kenta Takeda; Akito Noiri; Takashi Nakajima; Takashi Kobayashi; Seigo Tarucha
Journal:  Nature       Date:  2022-08-24       Impact factor: 69.504

4.  A shuttling-based two-qubit logic gate for linking distant silicon quantum processors.

Authors:  Akito Noiri; Kenta Takeda; Takashi Nakajima; Takashi Kobayashi; Amir Sammak; Giordano Scappucci; Seigo Tarucha
Journal:  Nat Commun       Date:  2022-09-30       Impact factor: 17.694

5.  Quantum logic with spin qubits crossing the surface code threshold.

Authors:  Xiao Xue; Maximilian Russ; Nodar Samkharadze; Brennan Undseth; Amir Sammak; Giordano Scappucci; Lieven M K Vandersypen
Journal:  Nature       Date:  2022-01-19       Impact factor: 69.504

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.