The methodology of resonant equiangular composite quantum gates
Guang Hao Low, Theodore J. Yoder, Isaac L. Chuang
TL;DR
The paper tackles the challenge of designing parameter-dependent single-qubit gates by introducing equiangular composite gates built from resonant primitive rotations and mapping the problem to polynomial representations $A,B,C,D$. It provides a complete characterization of achievable quantum response functions, an efficient $\mathcal{O}(\mathrm{poly}(L))$ compilation algorithm, and DSP-inspired selection methods to optimize gate performance under various objective criteria. By connecting quantum gate design to classical finite-impulse-response and Chebyshev minimax techniques, it delivers a practical, scalable methodology demonstrated on broadband/narrowband population inversion, broadband NOT, and sub-wavelength spatially selective gates. The work enables systematic, high-performance quantum control with wide bandwidths and precise spatial addressing, with implications for metrology, quantum computing, and quantum sensing, and lays a foundation for extensions to more complex or open quantum systems.
Abstract
The creation of composite quantum gates that implement quantum response functions $\hat{U}(θ)$ dependent on some parameter of interest $θ$ is often more of an art than a science. Through inspired design, a sequence of $L$ primitive gates also depending on $θ$ can engineer a highly nontrivial $\hat{U}(θ)$ that enables myriad precision metrology, spectroscopy, and control techniques. However, discovering new, useful examples of $\hat{U}(θ)$ requires great intuition to perceive the possibilities, and often brute-force to find optimal implementations. We present a systematic and efficient methodology for composite gate design of arbitrary length, where phase-controlled primitive gates all rotating by $θ$ act on a single spin. We fully characterize the realizable family of $\hat{U}(θ)$, provide an efficient algorithm that decomposes a choice of $\hat{U}(θ)$ into its shortest sequence of gates, and show how to efficiently choose an achievable $\hat{U}(θ)$ that for fixed $L$, is an optimal approximation to objective functions on its quadratures. A strong connection is forged with \emph{classical} discrete-time signal processing, allowing us to swiftly construct, as examples, compensated gates with optimal bandwidth that implement arbitrary single spin rotations with sub-wavelength spatial selectivity.
