Autonomous adaptive noise characterization in quantum computers.

@article{Gupta2019AutonomousAN,
  title={Autonomous adaptive noise characterization in quantum computers.},
  author={R. Gupta and A. Milne and C. Edmunds and C. Hempel and M. Biercuk},
  journal={arXiv: Quantum Physics},
  year={2019}
}
New quantum computing architectures consider integrating qubits as sensors to provide actionable information useful for decoherence mitigation on neighboring data qubits, but little work has addressed how such schemes may be efficiently implemented in order to maximize information utilization. Techniques from classical estimation and dynamic control, suitably adapted to the strictures of quantum measurement, provide an opportunity to extract augmented hardware performance through automation of… Expand
2 Citations

References

SHOWING 1-10 OF 33 REFERENCES
Prediction and real-time compensation of qubit decoherence via machine learning
  • 40
  • PDF
Coherent feedback control of a single qubit in diamond
  • 47
  • PDF
Machine Learning for Predictive Estimation of Qubit Dynamics Subject to Dephasing
  • 13
  • PDF
Scalable architecture for a room temperature solid-state quantum information processor.
  • 165
  • PDF
Co-Designing a Scalable Quantum Computer with Trapped Atomic Ions
  • 110
  • PDF
Layered architecture for quantum computing
  • 181
  • PDF
Silicon CMOS architecture for a spin-based quantum computer
  • 141
  • PDF
Optimized Compilation of Aggregated Instructions for Realistic Quantum Computers
  • 43
  • PDF
Quantum Computing in the NISQ era and beyond
  • 1,445
  • PDF
Architecture for a large-scale ion-trap quantum computer
  • 1,034
  • PDF
...
1
2
3
4
...