Robust Quantum Control against Clock Noises in Multi-Qubit Systems
arXiv:1903.10597 · doi:10.1103/PhysRevA.100.022302
Abstract
High-precision manipulation of multi-qubit quantum systems requires strictly clocked and synchronized multi-channel control signals. However, practical Arbitrary Waveform Generators (AWGs) always suffer from random signal jitters and channel latencies that induces non-ignorable state or gate operation errors. In this paper, we analyze the average gate error caused by clock noises, from which an estimation formula is derived for quantifying the control robustness against clock noises. This measure is then employed for finding robust controls via a homotopic optimization algorithm. We also introduce our recently proposed stochastic optimization algorithm, b-GRAPE, for training robust controls via randomly generated clock noise samples. Numerical simulations on a two-qubit example demonstrate that both algorithms can greatly improve the control robustness against clock noises. The homotopic algorithm converges much faster than the b-GRAPE algorithm, but the latter can achieve more robust controls against clock noises.
arXiv comment7 pages, 5 figures
References in corpus (12)
- Quantum Computing in the NISQ era and beyond
- Stimulated Raman adiabatic passage in physics, chemistry and beyond
- Simple pulses for elimination of leakage in weakly nonlinear qubits
- Learning Robust and High-Precision Quantum Controls
- Hardware for Dynamic Quantum Computing
- Sampling-based Learning Control for Quantum Systems with Uncertainties
- A Data-Driven Gradient Algorithm for High-Precision Quantum Control
- Accounting for Classical Hardware in the Control of Quantum Devices
- Control of inhomogeneous atomic ensembles of hyperfine qudits
- Detuning-modulated composite pulses for high-fidelity robust quantum control
- Robust high-fidelity coherent control of two-state systems by detuning pulses
- Uniaxial dynamical decoupling for an open quantum system
Cited by in corpus (8)
- Optimal Scheme for Quantum Metrology
- Introduction to Theoretical and Experimental aspects of Quantum Optimal Control
- Robust Quantum Control in Games: an Adversarial Learning Approach
- Stochastic learning control of inhomogeneous quantum ensembles
- Robust Control of Quantum Dynamics under Input and Parameter Uncertainty
- Risk-sensitive Optimization for Robust Quantum Controls
- Robust optimization for quantum reinforcement learning control using partial observations
- Quantum coherent and measurement feedback control based on atoms coupled with a semi-infinite waveguide