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Suppressing qubit dephasing using real-time Hamiltonian estimation

Author

Listed:
  • M. D. Shulman

    (Harvard University)

  • S. P. Harvey

    (Harvard University)

  • J. M. Nichol

    (Harvard University)

  • S. D. Bartlett

    (Centre for Engineered Quantum Systems, School of Physics, The University of Sydney)

  • A. C. Doherty

    (Centre for Engineered Quantum Systems, School of Physics, The University of Sydney)

  • V. Umansky

    (Braun Center for Submicron Research, Weizmann Institute of Science)

  • A. Yacoby

    (Harvard University)

Abstract

Unwanted interaction between a quantum system and its fluctuating environment leads to decoherence and is the primary obstacle to establishing a scalable quantum information processing architecture. Strategies such as environmental and materials engineering, quantum error correction and dynamical decoupling can mitigate decoherence, but generally increase experimental complexity. Here we improve coherence in a qubit using real-time Hamiltonian parameter estimation. Using a rapidly converging Bayesian approach, we precisely measure the splitting in a singlet-triplet spin qubit faster than the surrounding nuclear bath fluctuates. We continuously adjust qubit control parameters based on this information, thereby improving the inhomogenously broadened coherence time from tens of nanoseconds to >2 μs. Because the technique demonstrated here is compatible with arbitrary qubit operations, it is a natural complement to quantum error correction and can be used to improve the performance of a wide variety of qubits in both meteorological and quantum information processing applications.

Suggested Citation

  • M. D. Shulman & S. P. Harvey & J. M. Nichol & S. D. Bartlett & A. C. Doherty & V. Umansky & A. Yacoby, 2014. "Suppressing qubit dephasing using real-time Hamiltonian estimation," Nature Communications, Nature, vol. 5(1), pages 1-6, December.
    • Handle: RePEc:nat:natcom:v:5:y:2014:i:1:d:10.1038_ncomms6156
    DOI: 10.1038/ncomms6156
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    Cited by:

    1. Wonjin Jang & Jehyun Kim & Jaemin Park & Gyeonghun Kim & Min-Kyun Cho & Hyeongyu Jang & Sangwoo Sim & Byoungwoo Kang & Hwanchul Jung & Vladimir Umansky & Dohun Kim, 2023. "Wigner-molecularization-enabled dynamic nuclear polarization," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    2. Antti Vepsäläinen & Roni Winik & Amir H. Karamlou & Jochen Braumüller & Agustin Di Paolo & Youngkyu Sung & Bharath Kannan & Morten Kjaergaard & David K. Kim & Alexander J. Melville & Bethany M. Niedzi, 2022. "Improving qubit coherence using closed-loop feedback," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
    3. Fabrizio Berritta & Torbjørn Rasmussen & Jan A. Krzywda & Joost Heijden & Federico Fedele & Saeed Fallahi & Geoffrey C. Gardner & Michael J. Manfra & Evert Nieuwenburg & Jeroen Danon & Anasua Chatterj, 2024. "Real-time two-axis control of a spin qubit," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    4. Daniel Stilck França & Liubov A. Markovich & V. V. Dobrovitski & Albert H. Werner & Johannes Borregaard, 2024. "Efficient and robust estimation of many-qubit Hamiltonians," Nature Communications, Nature, vol. 15(1), pages 1-11, December.

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