Approximate quantum gates compiling with self-navigation algorithm
arXiv:2204.02555 · doi:10.1007/s11128-023-04125-8
Abstract
The compiling of quantum gates is crucial for the successful quantum algorithm implementations. The environmental noise as well as the bandwidth of control pulses pose a challenge to precise and fast qubit control, especially in a weakly anharmonic system. In this work, we propose an algorithm to approximately compile single-qubit gates with arbitrary accuracy. Evaluation results show that the overall rotation distance generated by our algorithm is significantly shorter than the commonly used gate, then the gate time can be effectively shortened. The requisite number of pulses and the runtime of scheme design scale up as with very small prefactors, indicating low overhead costs. Moreover, we explore the trade-off between effectiveness and cost, and find a balance point. In short, our work opens a new avenue for efficient quantum algorithm implementations with contemporary quantum technology.
arXiv comment5 pages, 2 figures
References in corpus (29)
- Quantum Computing in the NISQ era and beyond
- Supplementary information for "Quantum supremacy using a programmable superconducting processor"
- Elementary gates for quantum computation
- Charge insensitive qubit design derived from the Cooper pair box
- Quantum computational advantage using photons
- A Quantum Engineer's Guide to Superconducting Qubits
- Strong quantum computational advantage using a superconducting quantum processor
- Simple pulses for elimination of leakage in weakly nonlinear qubits
- Distance measures to compare real and ideal quantum processes
- Efficient Z-Gates for Quantum Computing
- Optimal Quantum Circuits for General Two-Qubit Gates
- Phase-Programmable Gaussian Boson Sampling Using Stimulated Squeezed Light
- Quantum Circuits for General Multiqubit Gates
- Superconducting Quantum Computing: A Review
- Quantum walks on a programmable two-dimensional 62-qubit superconducting processor
- A universal quantum circuit for two-qubit transformations with three CNOT gates
- Analytic control methods for high fidelity unitary operations in a weakly nonlinear oscillator
- Efficient decomposition of quantum gates
- Quantum Algorithm Implementations for Beginners
- Asymptotically optimal approximation of single qubit unitaries by Clifford and T circuits using a constant number of ancillary qubits
- When does reinforcement learning stand out in quantum control? A comparative study on state preparation
- Deep Reinforcement Learning for Quantum Gate Control
- Improving frequency selection of driven pulses using derivative-based transition suppression
- Topological Quantum Compiling with Reinforcement Learning
- Neural-network-designed pulse sequences for robust control of singlet-triplet qubits
- Classifying global state preparation via deep reinforcement learning
- Optimising the Solovay-Kitaev algorithm
- Deep reinforcement learning for universal quantum state preparation via dynamic pulse control
- Universal quantum state preparation via revised greedy algorithm