Atomic Electronics – building quantum computers in silicon with atomic precision

Описание: Michelle Simmons presents Atomic Electronics – building quantum computers in silicon with atomic precision

The realisation of a large-scale error corrected quantum computer relies on our ability to reproducibly manufacture qubits that are fast, highly coherent, controllable and stable. The promise of achieving this in a highly manufacturable platform such as silicon requires a deep understanding of the materials issues that impact device operation. In this talk I will demonstrate how we engineer every aspect of the processor using atom qubits in silicon for fast, controllable exchange coupling [1], fast, high fidelity qubit initialisation and read-out [2]; low noise all epitaxial gates for highly stable qubits [3,4]; and efficient, high fidelity qubit control [5,6] leading to the demonstration of the highest fidelity Grover’s algorithm to date [7].

I will also discuss our latest results in quantum analogue processors. Here I will present an atomically engineered quantum feature generator in which we use quantum states to increase the accuracy of classical machine learning [8]. I will also show our latest results in analogue simulation [9,10] realising Feynman’s dream of directly simulating materials by the atomic precision placement of atoms in silicon.

[1] Y. He, S.K. Gorman, D. Keith, L. Kranz, J.G. Keizer, and M.Y. Simmons,
“A fast two-qubit gate between phosphorus donor electrons in silicon”, Nature 571, 371 (2019).
[2] D. Keith, M. G. House, M. B. Donnelly, T. F. Watson, B. Weber, M. Y. Simmons,
“Microsecond Spin Qubit Readout with a Strong-Response Single Electron Transistor”,
Physical Review X 9, 041003 (2019); D. Keith, S. K. Gorman, L. Kranz, Y. He,
J. G. Keizer, M. A. Broome, M. Y. Simmons, “Benchmarking high fidelity single-shot readout of semiconductor qubits”, New Journal of Physics 21, 063011 (2019).
[3] L. Kranz S. K. Gorman B. Thorgrimsson Y. He D. Keith J. G. Keizer M. Y. Simmons,
“Exploiting a Single-Crystal Environment to Minimize the Charge Noise on Qubits in Silicon”, Advanced Materials 32, 2003361 (2020).
[4] M. Koch, J.G. Keizer, P. Pakkiam, D. Keith, M.G. House, E. Peretz, and M.Y. Simmons,
“Spin read-out in atomic qubits in an all-epitaxial three-dimensional transistor”,
Nature Nanotechnology 14, 137 (2019 – with cover article).
[5] L. Fricke, S.J. Hile, L. Kranz, Y. Chung, Y. He, P. Pakkiam, J.G. Keizer, M.G. House and
M.Y. Simmons, “Coherent spin control of a precision placed donor bound electron qubit in silicon”, Nature Communications 12, 3323 (2021).
[6] J. Reiner, Y. Chung, C. Lehner S.H. Misha, S. Monir, D. Poulos, K. Charde, L. Kranz,
B. Thorgrimsson, P. Macha, D. Keith, Y-L. Hsueh, R. Rahman, J.G. Keizer, S.K. Gorman,
M.Y. Simmons, “Control of multiple nuclear spin quantum registers”,
Nature Nanotechnology 19, 584 (2024).
[7] I. Thorvaldson, D. Poulos, C. M. Moehle, S. H. Misha, H. Edlbauer, J. Reiner, H. Geng, B. Voisin, M. T. Jones, M. B. Donnelly, L. F. Pe˜na, C. D. Hill, C. R. Myers, J. G. Keizer, Y. Chung,
S. K. Gorman, L. Kranz, and M. Y. Simmons, “Grover’s algorithm in a four-qubit silicon processor above the fault-tolerant threshold”, arXiv:2404.08741v1 (2024).
[8] S. A. Sutherland, M. Donnelly, J.G. Keizer, C.R. Myers, B. Thorgrimsson, Y. Chung,
S.K. Gorman and M. Y. Simmons, “Experimental quantum enhanced machine learning using quantum many body systems”, paper in review (2024).
[9] M. Kiczynski, S.K. Gorman, H. Geng, M.B. Donnelly, Y. Chung, Y. He, J.G. Keizer and
M.Y. Simmons, "Engineering topological states in atom-based semiconductor quantum dots", Nature 606, 694-699 (2022).
[10] M. B. Donnelly, Y. Chung, R. Garreis, S. Plugge, D. Pye, M. Kiczynski, M. M. Munia,
S. Sutherland, B. Voisin, L. Kranz, Y.L. Hsueh, A.M. Saffat-Ee Huq, C. M. Moehle, C. R. Myers,
R. Rahman, J.G. Keizer, S.K. Gorman, and M.Y. Simmons, “Large-scale analogue quantum simulation using precision atom-based quantum dot arrays”, paper in review (2024).