Software tools for quantum control: improving quantum computer performance through noise and error suppression

@article{Ball2021SoftwareTF,
  title={Software tools for quantum control: improving quantum computer performance through noise and error suppression},
  author={Harrison Ball and Michael J. Biercuk and Andr'e R. R. Carvalho and Rajib Chakravorty and Jiayin Chen and Leonardo Andreta de Castro and Steven Gore and David J. Hover and Michael R. Hush and Per J. Liebermann and R. Love and Kevin Nguyen and Viktor S. Perunicic and Harry J. Slatyer and Claire L. Edmunds and Virginia Frey and Cornelius Hempel and Alistair R. Milne},
  journal={Quantum Science \& Technology},
  year={2021},
  volume={6}
}
Effectively manipulating quantum computing (QC) hardware in the presence of imperfect devices and control systems is a central challenge in realizing useful quantum computers. Susceptibility to noise critically limits the performance and capabilities of today’s so-called noisy intermediate-scale quantum devices, as well as any future QC technologies. Fortunately, quantum control enables efficient execution of quantum logic operations and quantum algorithms with built-in robustness to errors… 
Model predictive control for robust quantum state preparation
A critical engineering challenge in quantum technology is the accurate control of quantum dynamics. Model-based methods for optimal control have been shown to be highly effective when theory and
Analytic Filter Function Derivatives for Quantum Optimal Control
Auto-correlated noise appears in many solid state qubit systems and hence needs to be taken into account when developing gate operations for quantum information processing. However, explicitly
Experimental Deep Reinforcement Learning for Error-Robust Gate-Set Design on a Superconducting Quantum Computer
Quantum computers promise tremendous impact across applications – and have shown great strides in hardware engineering – but remain notoriously error prone. Careful design of low-level controls has
Experimental high-dimensional Greenberger-Horne-Zeilinger entanglement with superconducting transmon qutrits
Alba Cervera-Lierta, 2, ∗ Mario Krenn, 2, 3, † Alán Aspuru-Guzik, 2, 3, 4, ‡ and Alexey Galda 6, § Chemical Physics Theory Group, Department of Chemistry, University of Toronto, Canada. Department of
Fast Universal Control of an Oscillator with Weak Dispersive Coupling to a Qubit
Efficient quantum control of an oscillator is necessary for many bosonic applications including error-corrected computation [1–8], quantumenhanced sensing [9–11], robust quantum communication [12,
Filter Functions for Quantum Processes under Correlated Noise.
TLDR
A method based on the filter function formalism to perturbatively compute quantum processes in the presence of correlated classical noise and shows that correlation terms arise which capture the effects of the concatenation and, thus, yield insight into the effect of noise correlations on gate sequences.
Filter-function formalism and software package to compute quantum processes of gate sequences for classical non-Markovian noise
Correlated, non-Markovian noise is present in many solid-state systems employed as hosts for quantum information technologies, significantly complicating the realistic theoretical description of
Gate-free state preparation for fast variational quantum eigensolver simulations
The variational quantum eigensolver is currently the flagship algorithm for solving electronic structure problems on near-term quantum computers. The algorithm involves implementing a sequence of
Hardware-efficient random circuits to classify noise in a multiqubit system
In this work we extend a multi-qubit benchmarking technique known as the Binned Output Generation (BOG) in order to discriminate between coherent and incoherent noise sources in the multi-qubit
Pulse-level noisy quantum circuits with QuTiP
1Peter Grünberg Institute Quantum Control (PGI-8), Forschungszentrum Jülich GmbH, D-52425 Jülich, Germany 2Department of Microtechnology and Nanoscience, Chalmers University of Technology, 412 96
...
1
2
3
...

References

SHOWING 1-10 OF 163 REFERENCES
Phys
  • Rev. A 67, 042308
  • 2003
S
  • J. van der Walt, M. Brett, J. Wilson, K. Jarrod Millman, N. Mayorov, A. R. J. Nelson, E. Jones, R. Kern, E. Larson, C. Carey, İ. Polat, Y. Feng, E. W. Moore, J. Vand erPlas, D. Laxalde, J. Perktold, R. Cimrman, I. Henriksen, E. A. Quintero, C. R. Harris, A. M. Archibald, A. H. Ribeiro, F. Pedregosa,
  • 2020
and M
  • J. Biercuk, Physical Review Applied 13
  • 2020
and M
  • J. Biercuk, “Dynamically corrected gates suppress spatio-temporal error correlations as measured by randomized benchmarking,”
  • 2019
and M
  • J. Biercuk, “Dynamically corrected gates suppress spatio-temporal error correlations as measured by randomized benchmarking,”
  • 2019
and W
  • J. Zeng, A practical quantum instruction set architecture
  • 2016
Nat
  • Phys. 10, 825
  • 2014
Journal of Magnetic Resonance
  • Series A 109, 221
  • 1994
Phys
  • Rev. X 2, 031007
  • 2012
...
1
2
3
4
5
...