Accounting for Classical Hardware in the Control of Quantum Devices
arXiv:1409.8178 · doi:10.1103/PhysRevApplied.4.024012
Abstract
High fidelity coherent control of quantum systems is critical to building quantum devices and quantum computers. We provide a general optimal control framework for designing control sequences that account for hardware control distortions while maintaining robustness to environmental noise. We demonstrate the utility of our algorithm by presenting examples of robust quantum gates optimized in the presence of nonlinear distortions. We show that nonlinear classical controllers do not necessarily incur additional computational cost to pulse optimization, enabling more powerful quantum devices.
18 pages with appendices, 8 figures
References in corpus (14)
- Quantum Computing
- High-sensitivity diamond magnetometer with nanoscale resolution
- Logic gates at the surface code threshold: Superconducting qubits poised for fault-tolerant quantum computing
- Quantum technologies with hybrid systems
- Protecting a Spin Ensemble against Decoherence in the Strong-Coupling Regime of Cavity QED
- Adaptive hybrid optimal quantum control for imprecisely characterized systems
- Universal Control of Nuclear Spins Via Anisotropic Hyperfine Interactions
- Entanglement Assisted Metrology
- Application of Optimal Control to CPMG Refocusing Pulse Design
- Protecting coherence in Optimal Control Theory: State dependent constraint approach
- Fast, low-power manipulation of spin ensembles in superconducting microresonators
- Approximation of real error channels by Clifford channels and Pauli measurements
- Bandwidth-Limited Control and Ringdown Suppression in High-Q Resonators
- Characterization of control noise effects in optimal quantum unitary dynamics
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