Semiconductor technology for quantum computing

Zoom Videoconference
21 May 2021
May 21, 2021
Contatti: 

At: 14.00
Venue: Zoom videoconference (in order to receive the access link please write to: df.supportstaff [at] unitn.it)

Speaker

  • Silvano De Franceschi, Univ. Grenoble Alpes & CEA, IRIG/PHELIQS, Grenoble, France (https://www.lateqs.fr)

Abstract

Semiconductors form the core materials for micro- and opto-electronics. Will semiconductor materials be instrumental in the development of future quantum computing machines? If yes, to what kind of level? In fact, semiconductor technology may not only provide the classical control hardware but the quantum processor itself. There exist widely different possibilities to encode and process quantum information in semiconductors. Following a brief overview, I will focus on semiconductor spin qubits [1-3], which constitute the leading research theme of the Grenoble Quantum Silicon Group (https://www.quantumsilicon-grenoble.eu). In principle, these types of qubits can take advantage of the large-scale integration capabilities of silicon technology which should facilitate their scalability. With this mind, we have begun to work on the implementation of qubit functionalities in devices made in an industry-standard fabrication platforms available on-site [4]. I will report our progress so far [5-7], prospects and challenges at scientific and technological level.

1. P. Forn and S. De Franceschi, “Superconductor and semiconductor qubits”, in Giustino et al., Journal of Physics: Materials 3 (4), 042006 (2021).
2. Chatterjee, A., Stevenson, P., De Franceschi, S. et al. Semiconductor qubits in practice. Nat Rev Phys 3, 157–177 (2021).
3. Scappucci, G., Kloeffel, C., Zwanenburg, F.A. et al. The germanium quantum information route. Nat Rev Mater (2020).
4. Maurand, et al. A CMOS silicon spin qubit. Nat Commun 7, 13575 (2016).
5. Alessandro Crippa, et al., Gate-reflectometry dispersive read- out and coherent control of a spin qubit in silicon, Nature communications 10, 1–6 (2019).
6. Matias Urdampilleta, et al., Gate-based high fidelity spin readout in a cmos device, Nature nanotechnology , 1 (2019).
7. Loïck Le Guevel, et al., 19.2 a 110mk 295μw 28nm fdsoi cmos quantum integrated circuit with a 2.8 ghz excitation and na current sensing of an on-chip double quantum dot, in 2020 IEEE International Solid-State Circuits Conference-(ISSCC) (IEEE, 2020) pp. 306–308. Q@TN Lab

 

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