Silicon qubit fidelities approaching incoherent noise limits via pulse engineering

By C. Yang, K. Chan, R. Harper, W. Huang, T. Evans, J. C. Hwang, B. Hensen, A. Laucht, T. Tanttu, Fay Hudson and 5 more. Nature Electronics, 2018

204 citations recorded by the source corpus.

Spin qubits created from gate-defined silicon metal–oxide–semiconductor quantum dots are a promising architecture for quantum computation. The high single qubit fidelities possible in these systems, combined with quantum error correcting codes, could potentially offer a route to fault-tolerant quantum computing. To achieve fault tolerance, however, gate error rates must be reduced to below a certain threshold and, in general, correlated errors must be removed. Here we show that pulse engineering techniques can be used to reduce the average Clifford gate error rates for silicon quantum dot spin qubits down to 0.043%. This represents a factor of three improvement over state-of-the-art silicon quantum dot devices and extends the randomized benchmarking coherence time to 9.4 ms. By including tomographically complete measurements in our randomized benchmarking, we infer a higher-order feature of the noise called the unitarity, which measures the coherence of noise. This, in turn, allows us to theoretically predict that average gate error rates as low as 0.026% may be achievable with further pulse improvements. These spin qubit fidelities are ultimately limited by incoherent noise, which we attribute to charge noise from the silicon device structure or the environment.Pulse engineering techniques can be used to reduce the average Clifford gate error rates for silicon quantum dot spin qubits down to 0.043%, a factor of three improvement over state-of-the-art silicon devices.

Subfields: Artificial Intelligence, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics

View Paper: https://www.semanticscholar.org/paper/33957587b2efd32381a3722f067725a3040a2c20

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Citations in the corpus

Simulating quantum many-body dynamics on a current digital quantum computer (2019, background): “…a large number of ways, for example, using ultracold trapped ions [6– 11], cavity quantum electrodynamics (QED) [12–15], photonic circuits [16–18], silicon quantum dots [19–21], and theoretically even by braiding, as yet unobserved, exotic collective excitations called non-abelian anyons [22–24].”
Quantum optimal control in quantum technologies. Strategic report on current status, visions and goals for research in Europe (2022, methodology): “Closely related to donor-based solid state platforms are quantum dots, where shaped pulses have been derived for single and two-qubit control [277, 321, 554, 635].”
Qubits made by advanced semiconductor manufacturing (2021, background): “9% [9, 22] as well as two-qubit gates [8, 11, 23–25], algorithms [10], conditional teleportation [26], three-qubit entanglement [27] and four-qubit universal control [28] have already been demonstrated.”