Real-time two-axis control of a spin qubit

Fabrizio Berritta (), Torbjørn Rasmussen, Jan A. Krzywda, Joost Heijden, Federico Fedele, Saeed Fallahi, Geoffrey C. Gardner, Michael J. Manfra, Evert Nieuwenburg, Jeroen Danon, Anasua Chatterjee () and Ferdinand Kuemmeth ()
Additional contact information
Fabrizio Berritta: University of Copenhagen
Torbjørn Rasmussen: University of Copenhagen
Jan A. Krzywda: Leiden University
Joost Heijden: QDevil, Quantum Machines
Federico Fedele: University of Copenhagen
Saeed Fallahi: Purdue University
Geoffrey C. Gardner: Purdue University
Michael J. Manfra: Purdue University
Evert Nieuwenburg: Leiden University
Jeroen Danon: Norwegian University of Science and Technology
Anasua Chatterjee: University of Copenhagen
Ferdinand Kuemmeth: University of Copenhagen

Nature Communications, 2024, vol. 15, issue 1, 1-9

Abstract: Abstract Optimal control of qubits requires the ability to adapt continuously to their ever-changing environment. We demonstrate a real-time control protocol for a two-electron singlet-triplet qubit with two fluctuating Hamiltonian parameters. Our approach leverages single-shot readout classification and dynamic waveform generation, allowing full Hamiltonian estimation to dynamically stabilize and optimize the qubit performance. Powered by a field-programmable gate array (FPGA), the quantum control electronics estimates the Overhauser field gradient between the two electrons in real time, enabling controlled Overhauser-driven spin rotations and thus bypassing the need for micromagnets or nuclear polarization protocols. It also estimates the exchange interaction between the two electrons and adjusts their detuning, resulting in extended coherence of Hadamard rotations when correcting for fluctuations of both qubit axes. Our study highlights the role of feedback in enhancing the performance and stability of quantum devices affected by quasistatic noise.

Date: 2024
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DOI: 10.1038/s41467-024-45857-0

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