Journal Article

FZJ-2024-07193

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Reinforcement learning pulses for transmon qubit entangling gates

Nam Nguyen, H. ; Motzoi, F.FZJ* ; Metcalf, M. ; Birgitta Whaley, K. ; Bukov, M. ; Schmitt, M.FZJ*

2024
IOP Publishing Bristol

This record in other databases:  

Please use a persistent id in citations: doi:10.1088/2632-2153/ad4f4d  doi:10.34734/FZJ-2024-07193

Abstract: The utility of a quantum computer depends heavily on the ability to reliably perform accurate quantum logic operations. For finding optimal control solutions, it is of particular interest to explore model-free approaches, since their quality is not constrained by the limited accuracy of theoretical models for the quantum processor - in contrast to many established gate implementation strategies. In this work, we utilize a continuous-control reinforcement learning algorithm to design entangling two-qubit gates for superconducting qubits; specifically, our agent constructs cross-resonance and CNOT gates without any prior information about the physical system. Using a simulated environment of fixed-frequency, fixed-coupling transmon qubits, we demonstrate the capability to generate novel pulse sequences that outperform the standard cross-resonance gates in both fidelity and gate duration, while maintaining a comparable susceptibility to stochastic unitary noise. We further showcase an augmentation in training and input information that allows our agent to adapt its pulse design abilities to drifting hardware characteristics, importantly with little to no additional optimization. Our results exhibit clearly the advantages of unbiased adaptive-feedback learning-based optimization methods for transmon gate design.

---

Contributing Institute(s):

1. Quantum Control (PGI-8)

Research Program(s):

1. 5221 - Advanced Solid-State Qubits and Qubit Systems (POF4-522) (POF4-522)
2. OpenSuperQPlus100 - Open Superconducting Quantum Computers (OpenSuperQPlus) (101113946) (101113946)
3. QCFD - Quantum Computational Fluid Dynamics (101080085) (101080085)

---

Database coverage:
; ; ; ; Article Processing Charges ; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Current Contents - Physical, Chemical and Earth Sciences ; DOAJ Seal ; Essential Science Indicators ; Fees ; IF >= 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

---