Universal qubit control through FPGA-accelerated qubit classification, Hamiltonian estimation and real-time feedback [Part 2]
ORAL
Abstract
Gate-controlled spin qubits are a promising platform for implementing quantum processors [1,2] and now operate near the error-correctable threshold [3]. To correct errors, however, fast real-time feedback based on qubit measurements must be executed within the qubit coherence time. Moreover, continuous real-time feedback is also useful to tune and calibrate the qubit environment in order to maintain high fidelity gates and long coherence times.
Here, we use a singlet-triplet qubit implemented in a gallium arsenide double dot and FPGA-based single-shot readout classification on an OPX+ pulse processor (Quantum Machines [4]) to perform real-time Hamiltonian estimation [5]. The fluctuating Overhauser gradient within the double dot is estimated on-the-fly, based on single-shot classifications of separated singlet pairs, enabling coherent spin rotations of the electron pair. Together with exchange rotations, this method yields universal qubit control of a GaAs spin qubit without requiring a micromagnet or nuclear polarization protocols.
[1] A.M.J. Zwerver et al., Nat. Electron. 5, 184-190 (2022)
[2] S.G.J. Philips et al., Nature 609, 919-924 (2022)
[3] A. Noiri et al., Nature 601, 338–342 (2022)
[4] https://www.quantum-machines.co/opx+/
[5] M. Shulman et al., Nat. Comm., 5(1), 5156 (2014)
Here, we use a singlet-triplet qubit implemented in a gallium arsenide double dot and FPGA-based single-shot readout classification on an OPX+ pulse processor (Quantum Machines [4]) to perform real-time Hamiltonian estimation [5]. The fluctuating Overhauser gradient within the double dot is estimated on-the-fly, based on single-shot classifications of separated singlet pairs, enabling coherent spin rotations of the electron pair. Together with exchange rotations, this method yields universal qubit control of a GaAs spin qubit without requiring a micromagnet or nuclear polarization protocols.
[1] A.M.J. Zwerver et al., Nat. Electron. 5, 184-190 (2022)
[2] S.G.J. Philips et al., Nature 609, 919-924 (2022)
[3] A. Noiri et al., Nature 601, 338–342 (2022)
[4] https://www.quantum-machines.co/opx+/
[5] M. Shulman et al., Nat. Comm., 5(1), 5156 (2014)
*This project was funded within the QuantERA II Programme that has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No 101017733.
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Presenters
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Fabrizio Berritta
- Niels Bohr Institute, University of Copenhagen