Effects of Dynamical Decoupling and Pulse-Level Optimizations on IBM Quantum Computers
Résumé
Currently available quantum computers are prone to errors. Circuit optimization and error mitigation methods are needed to design quantum circuits to achieve better fidelity when executed on NISQ hardware. Dynamical decoupling (DD) is generally used to suppress the decoherence error, and different DD strategies have been proposed. Moreover, the circuit fidelity can be improved by pulse-level optimization, such as creating hardware-native pulse-efficient gates. This article implements all the popular DD sequences and evaluates their performances on IBM quantum chips with different characteristics for various well-known quantum applications. Also, we investigate combining DD with the pulse-level optimization method and apply them to QAOA to solve the max-cut problem. Based on the experimental results, we find that DD can be a benefit for only certain types of quantum algorithms, while the combination of DD and pulse-level optimization methods always has a positive impact. Finally, we provide several guidelines for users to learn how to use these noise mitigation methods to build circuits for quantum applications with high fidelity on IBM quantum computers.
Mots clés
Logic gates
Qubit
Quantum computing
Performance evaluation
Hardware
Computers
Calibration
Error mitigation methods
Quantum circuits
NISQ hardware
Dynamical decoupling
Decoherence error
Circuit fidelity
Hardware-native pulse-efficient gates
Popular DD sequences
IBM quantum chips
Quantum applications
Pulse-level optimization method
Quantum algorithms
Noise mitigation methods
IBM quantum computers
Error mitigation
IBMQ
Noisy intermediate-scale quantum
Decoupling
Gate
Noise
Performance
Decoherence
Quantum approximate optimization algorithm
Logic
Experimental results
Domaines
Physique Quantique [quant-ph]
Origine : Fichiers produits par l'(les) auteur(s)