Silicon-based quantum computing: Scaling Strategies
Friday 29 April 2022, 3:00pm to 4:00pm
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C36 Physics and MS TeamsOpen to
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Condensed Matter seminar
The spins of isolated electrons in silicon are one of the most promising solid-state systems on which to implement quantum information processing. With the recent demonstrations of long coherence times [1], high-fidelity spin readout [2], and one- and two-qubit gates [3-5], the basic requirements to build a quantum computer have been fulfilled. Now, scaling the technology to a number of qubits sufficiently large to perform computationally relevant calculations is one of the major objectives and several proposals for large scale integration have been put forward [6-7].
Recently, important developments in the field of nanodevice engineering have shown that qubits can be manufactured in a similar fashion to field-effect transistors (FET) [8], creating an opportunity to leverage the scaling capabilities of the semiconductor industry to address the challenge [9]. Quantum computing with silicon transistors fully profits from the most established industrial technology to fabricate large scale integrated circuits while facilitating the integration with conventional electronics for fast data processing of the binary outputs of the quantum processor.
In this talk, I will present a series of results on CMOS transistors at milikelvin temperatures that show this technology could provide a platform on to which implement electron-spin qubits. I will specially concentrate on our efforts to develop a scalable measurement technique that has enabled the first measurements of electron spin dynamics in an industry-fabricated device [10-12]. Finally, I will present results on how digital and quantum devices can be combined with this technique to time- and frequency-multiplex the readout of several qubits [13] and how the architecture can be scaled up [14].
[1] M. Veldhorst, Nature, 526, 410 (2015)
[2] A. Morello, Nature 467, 687 (2010)
[3] J. Yoneda, Nat. Nanotech. 13 102 (2018)
[4] X. Xue, Nature 601 343 (2022)
[5] A. Noiri, Nature 601 338 (2022)
[6] L. M. K. Vandersypen, npj Quantum Information 3, 34 (2017)
[7] M. Veldhorst, Nat. Commun. 8, 1766 (2017)
[8] R. Maurand, Nat. Commun. 7 13575 (2016)
[9] M.F. Gonzalez-Zalba, Nat Elect 4 872 (2021)
[10] Oakes et al., arxiv2203.06608 (2022)
[11] Ibberson et al, Phys Rev X Quantum 2 020315 (2021)
[12] V. N. Ciriano-Tejel, Phys Rev X Quantum 2 010353 (2021)
[13] S. Schaal, Nat Elect 2 236 (2019) and Nat Elect 5 53 (2022)
[14] O. Crawford, arxiv2201.02877 (2022)
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Speaker
M. Fernando Gonzalez-Zalba
University of Cambridge
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Contact Details
Name | Michael Thompson |