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A cryogenic CMOS chip for generating control signals for multiple qubits

Abstract

Scaled-up quantum computers will require control interfaces capable of the manipulation and readout of large numbers of qubits, which usually operate at millikelvin temperatures. Advanced complementary metal–oxide–semiconductor (CMOS) technology is an attractive platform for delivering such interfaces. However, this approach is generally discounted due to its high power dissipation, which can lead to the heating of fragile qubits. Here we report a CMOS-based platform that can provide multiple electrical signals for the control of qubits at 100 mK. We demonstrate a chip that is configured by digital input signals at room temperature and uses on-chip circuit cells that are based on switched capacitors to generate static and dynamic voltages for the parallel control of qubits. We use our CMOS chip to bias a quantum dot device and to switch the conductance of a quantum dot via voltage pulses generated on the chip. Based on measurements from six cells, we determine the average power dissipation for generating control pulses of 100 mV to be 18 nW per cell. We estimate that a scaled-up system containing a thousand cells could be cooled by a commercially available dilution refrigerator.

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Fig. 1: The quantum–classical interface of a quantum computer.
Fig. 2: Corner floor plan and operation of the CMOS control chip.
Fig. 3: Benchmarking the cryo-CMOS control with a QD chip.
Fig. 4: Power dissipated at 100 mK when interfacing with the QD device.

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Data availability

The datasets generated and/or analysed during the current study are available from the corresponding author upon reasonable request.

References

  1. Reiher, M., Wiebe, N., Svore, K. M., Wecker, D. & Troyer, M. Elucidating reaction mechanisms on quantum computers. Proc. Natl Acad. Sci. USA 114, 7555–7560 (2017).

    Article  Google Scholar 

  2. Preskill, J. Quantum computing in the NISQ era and beyond. Quantum 2, 79 (2018).

    Article  Google Scholar 

  3. Somma, R. D., Boixo, S., Barnum, H. & Knill, E. Quantum simulations of classical annealing processes. Phys. Rev. Lett. 101, 130504 (2008).

    Article  Google Scholar 

  4. Bravyi, S., Gosset, D. & König, R. Quantum advantage with shallow circuits. Science 362, 308–311 (2018).

    Article  MathSciNet  Google Scholar 

  5. Aspuru-Guzik, A., Dutoi, A. D., Love, P. J. & Head-Gordon, M. Simulated quantum computation of molecular energies. Science 309, 1704–1707 (2005).

    Article  Google Scholar 

  6. Das, K. & Lehmann, T. Low power fast cryogenic CMOS circuit for digital readout of single electron transistor. In Proc. Midwest Symposium on Circuits and Systems 1–4 (IEEE, 2011).

  7. Reilly, D. J. Engineering the quantum-classical interface of solid-state qubits. npj Quantum Inf. 1, 15011 (2015).

  8. Hornibrook, J. M. et al. Cryogenic control architecture for large-scale quantum computing. Phys. Rev. Applied 3, 024010 (2015).

    Article  Google Scholar 

  9. Vandersypen, L. M. K. et al. Interfacing spin qubits in quantum dots and donors—hot, dense, and coherent. npj Quantum Inf. 3, 34 (2017).

    Article  Google Scholar 

  10. McDermott, R. et al. Quantum–classical interface based on single flux quantum digital logic. Quantum Sci. Technol. 3, 024004 (2018).

    Article  Google Scholar 

  11. Bardin, J. C. et al. 29.1 A 28nm bulk-CMOS 4-to-8GHz <2mW cryogenic pulse modulator for scalable quantum computing. In 2019 IEEE International Solid-State Circuits Conference 456–458 (IEEE, 2019).

  12. Geck, L., Kruth, A., Bluhm, H., van Waasen, S. & Heinen, S. Control electronics for semiconductor spin qubits. Quantum Sci. Technol. 5, 015004 (2019).

    Article  Google Scholar 

  13. Patra, B. et al. Cryo-CMOS circuits and systems for quantum computing applications. IEEE J. Solid-State Circuits 53, 309–321 (2018).

    Article  Google Scholar 

  14. Patra, B. et al. A scalable cryo-CMOS 2-to-20GHz digitally intensive controller for 4 × 32 frequency multiplexed spin qubits/transmons in 22nm FinFET technology for quantum computers. In 2020 IEEE International Solid-State Circuits Conference 304–306 (IEEE, 2020).

  15. Landman, B. S. & Russo, R. L. On a pin versus block relationship for partitions of logic graphs. IEEE Trans. Comput. C-20, 1469–1479 (1971).

    Article  Google Scholar 

  16. Reilly, D. J. Challenges in scaling-up the control interface of a quantum computer. In 2019 IEEE International Electron Devices Meeting 31.7.1–31.7.6 (IEEE, 2019).

  17. Wootters, W. K. & Zurek, W. H. A single quantum cannot be cloned. Nature 299, 802–803 (1982).

    Article  Google Scholar 

  18. Franke, D., Clarke, J., Vandersypen, L. & Veldhorst, M. Rent’s rule and extensibility in quantum computing. Microprocess. Microsy. 67, 1–7 (2019).

    Article  Google Scholar 

  19. Krinner, S. et al. Engineering cryogenic setups for 100-qubit scale superconducting circuit systems. EPJ Quantum Technol. 6, 2 (2019).

    Article  Google Scholar 

  20. Arute, F. et al. Quantum supremacy using a programmable superconducting processor. Nature 574, 505–510 (2019).

    Article  Google Scholar 

  21. Veldhorst, M., Eenink, H. G. J., Yang, C. H. & Dzurak, A. S. Silicon CMOS architecture for a spin-based quantum computer. Nat. Commun. 8, 1766 (2017).

    Article  Google Scholar 

  22. Bai, Y. et al. Manufacturability and performance of 2.3-μm HgCdTe H2RG sensor chip assemblies for Euclid. In Proc. SPIE 10709, High Energy, Optical, and Infrared Detectors for Astronomy VIII 1070915 (SPIE, 2018).

  23. Karzig, T. et al. Scalable designs for quasiparticle-poisoning-protected topological quantum computation with Majorana zero modes. Phys. Rev. B 95, 235305 (2017).

    Article  Google Scholar 

  24. Petta, J. R. et al. Coherent manipulation of coupled electron spins in semiconductor quantum dots. Science 309, 2180–2184 (2005).

    Article  Google Scholar 

  25. Casparis, L. et al. Superconducting gatemon qubit based on a proximitized two-dimensional electron gas. Nat. Nanotechnol. 13, 915–919 (2018).

    Article  Google Scholar 

  26. Croot, X. et al. Device architecture for coupling spin qubits via an intermediate quantum state. Phys. Rev. Applied 10, 044058 (2018).

    Article  Google Scholar 

  27. Hornibrook, J. M. et al. Frequency multiplexing for readout of spin qubits. App. Phys. Lett. 104, 103108 (2014).

    Article  Google Scholar 

  28. Das, K. & Lehmann, T. Effect of deep cryogenic temperature on silicon-on-insulator CMOS mismatch: a circuit designer’s perspective. Cryogenics 62, 84–93 (2014).

    Article  Google Scholar 

  29. Beckers, A. et al. Characterization and modeling of 28-nm FDSOI CMOS technology down to cryogenic temperatures. Solid State Electron. 159, 106–115 (2019).

    Article  Google Scholar 

  30. Yang, Y., Das, K., Moini, A. & Reilly, D. J. A cryo-CMOS voltage reference in 28-nm FDSOI. IEEE Solid-State Circuits Lett. 3, 186–189 (2020).

    Article  Google Scholar 

  31. Reilly, D. J., Marcus, C. M., Hanson, M. P. & Gossard, A. C. Fast single-charge sensing with a rf quantum point contact. App. Phys. Lett. 91, 162101 (2007).

    Article  Google Scholar 

  32. Fallahi, S., Nakamura, J. R., Gardner, G. C., Yannell, M. M. & Manfra, M. J. Impact of silicon doping on low-frequency charge noise and conductance drift in GaAs/AlxGa1−xAs nanostructures. Phys. Rev. Applied 9, 034008 (2018).

    Article  Google Scholar 

Download references

Acknowledgements

This research was supported by Microsoft Corporation and the Australian Research Council Centre of Excellence for Engineered Quantum Systems (EQUS, CE170100009). We thank R. Rouse for help with the chip tape out and M. Cassidy, S. Waddy, C. Marcus and L. Kouwenhoven for discussions. We acknowledge the facilities as well as the scientific and technical assistance of the Research and Prototype Foundry, a Core Research Facility at the University of Sydney, and a part of the Australian National Fabrication Facility (ANFF).

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Contributions

S.J.P., K.D., A.M. and D.J.R. conceived the presented idea. K.D., A.M., Y.Y. and C.C. designed the CMOS chip and packaging. K.D., A.M., M.T., A.B. and N.D. performed the characterization experiments on the CMOS chip. The GaAs heterostructure was grown by G.C.G. and M.J.M., and the QD device was fabricated by S.J.P. S.J.P., K.D. and R.K. performed the experiment interfacing the CMOS chip to the GaAs QD device. S.J.P., K.D. and D.J.R. wrote the manuscript with input from all the authors.

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Correspondence to D. J. Reilly.

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Extended data

Extended Data Fig. 1 Calibration procedure for gate leakage measurements.

a, Quantum dot device used to extract gate leakage. Gates used are highlighted in red, and the current path used for the measurement is shown by the green arrow. b, Sample calibration trace, taken by sweeping the voltage on the LW gate, while the charge lock switch GHOLD is closed. The extraction process for gate voltage is indicated by arrows. c, The measured current through the QPC when the charge locking switch is opened. d, The extracted gate voltage held on the gate for a period of 30 minutes.

Extended Data Fig. 2 Extracted charge leakage as VHOLD is varied, prior to removal of charge noise.

a-g, Traces from which charge leakage is extracted in Fig. 3c, as VHOLD is varied, and prior to removal of charge noise. The large steps in the extracted gate voltage are caused by low frequency charge noise in the donor layer.

Extended Data Fig. 3 Extracted charge leakage as VHOLD is varied, after removal of charge noise.

a-g, Traces from which charge leakage is extracted in Fig. 3c as VHOLD is varied, following the removal of charge noise. Each trace is fit with a line, from which the leakage rate is extracted.

Supplementary information

Supplementary Information

Supplementary Figs. 1–4 and detailed discussion on the design of various blocks of the CMOS circuit.

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Pauka, S.J., Das, K., Kalra, R. et al. A cryogenic CMOS chip for generating control signals for multiple qubits. Nat Electron 4, 64–70 (2021). https://doi.org/10.1038/s41928-020-00528-y

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