We propose a method for assisting fault mitigation in quantum computation through the use of sensors, co-located near physical qubits. Specifically, we consider using transition edge sensors co-located on silicon substrates hosting superconducting qubits to monitor for energy injection from ionizing radiation that has been demonstrated to increase decoherence in transmon qubits. We generalize from these two physical device concepts and explore the potential advantages of co-located sensors to assist fault mitigation in quantum computation. In the simplest scheme, co-located sensors beneficially assist rejection of calculations potentially affected by environmental disturbances. Investigating the potential computational advantage further required development of an extension to the standard formulation of quantum error correction. In a specific case the standard three-qubit, bit flip quantum correction code, we show that given a 20% overall error probability per qubit, approximately 90% of repeated calculation attempts are correctable. However, when sensor-detectable errors account for 45% of overall error probability, the use of colocated sensors uniquely associated with independent qubits, boosts the fraction of correct final-state calculations to 96% at the cost of rejecting 7% of repeated calculation attempts.
Orrell, John L. and Loer, Ben M.. "Sensor-Assisted Fault Mitigation in Quantum Computation." Physical Review Applied, vol. 16, no. 2, Aug. 2021. https://doi.org/10.1103/PhysRevApplied.16.024025
Orrell, John L., & Loer, Ben M. (2021). Sensor-Assisted Fault Mitigation in Quantum Computation. Physical Review Applied, 16(2). https://doi.org/10.1103/PhysRevApplied.16.024025
Orrell, John L., and Loer, Ben M., "Sensor-Assisted Fault Mitigation in Quantum Computation," Physical Review Applied 16, no. 2 (2021), https://doi.org/10.1103/PhysRevApplied.16.024025
@article{osti_1823089,
author = {Orrell, John L. and Loer, Ben M.},
title = {Sensor-Assisted Fault Mitigation in Quantum Computation},
annote = {We propose a method for assisting fault mitigation in quantum computation through the use of sensors, co-located near physical qubits. Specifically, we consider using transition edge sensors co-located on silicon substrates hosting superconducting qubits to monitor for energy injection from ionizing radiation that has been demonstrated to increase decoherence in transmon qubits. We generalize from these two physical device concepts and explore the potential advantages of co-located sensors to assist fault mitigation in quantum computation. In the simplest scheme, co-located sensors beneficially assist rejection of calculations potentially affected by environmental disturbances. Investigating the potential computational advantage further required development of an extension to the standard formulation of quantum error correction. In a specific case the standard three-qubit, bit flip quantum correction code, we show that given a 20% overall error probability per qubit, approximately 90% of repeated calculation attempts are correctable. However, when sensor-detectable errors account for 45% of overall error probability, the use of colocated sensors uniquely associated with independent qubits, boosts the fraction of correct final-state calculations to 96% at the cost of rejecting 7% of repeated calculation attempts.},
doi = {10.1103/PhysRevApplied.16.024025},
url = {https://www.osti.gov/biblio/1823089},
journal = {Physical Review Applied},
number = {2},
volume = {16},
place = {United States},
year = {2021},
month = {08}}
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 591, Issue 3https://doi.org/10.1016/j.nima.2008.03.103
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 772https://doi.org/10.1016/j.nima.2014.10.043