Zhaoqi Leng
Princeton University
5 Papers
163 Citations
Zhaoqi Leng is an academic researcher from Princeton University. The author has contributed to research in topics: Quantum computer & Qubit. The author has an hindex of 4, co-authored 5 publications.
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Papers
New material platform for superconducting transmon qubits with coherence times exceeding 0.3 milliseconds
Alex P. M. Place,Lila V. H. Rodgers,Pranav Mundada,Basil Smitham,Mattias Fitzpatrick,Zhaoqi Leng,Anjali Premkumar,Jacob Bryon,Sara Sussman,Guangming Cheng,Trisha Madhavan,Harshvardhan K. Babla,Berthold Jaeck,Andras Gyenis,Nan Yao,Robert J. Cava,Nathalie P. de Leon,Andrew Houck +17 more
TL;DR: Two-dimensional transmon qubits are fabricated that have both lifetimes and coherence times with dynamical decoupling exceeding 0.3 milliseconds by replacing niobium with tantalum in the device, indicating that these material improvements are robust, paving the way for higher gate fidelities in multi-qubit processors.
New material platform for superconducting transmon qubits with coherence times exceeding 0.3 milliseconds.
Alexander Place,Lila V. H. Rodgers,Pranav Mundada,Basil Smitham,Mattias Fitzpatrick,Zhaoqi Leng,Anjali Premkumar,Jacob Bryon,Andrei Vrajitoarea,Sara Sussman,Guangming Cheng,Trisha Madhavan,Harshvardhan K. Babla,Xuan Hoang Le,Youqi Gang,Berthold Jäck,Andras Gyenis,Nan Yao,Robert J. Cava,Nathalie P. de Leon,Andrew Houck +20 more
TL;DR: In this article, two-dimensional transmon qubits with both lifetimes and coherence times longer than 0.3 milliseconds were constructed by replacing niobium with tantalum in the device.
•Journal Article
Variability metrics in Josephson Junction fabrication for Quantum Computing circuits
•Posted Content
Direct digital synthesis of microwave waveforms for quantum computing
TL;DR: In this paper, the authors used a high speed AWG to study the viability of a simplified scheme for quantum computing experiments in the microwave regime using a superconducting qubit, achieving average single qubit gate error rates below $5\times10^{-4}$.
•Posted Content
Robust and efficient algorithms for high-dimensional black-box quantum optimization
TL;DR: This work combines randomized perturbation gradient estimation with adaptive momentum gradient updates to create the AdamSPSA and AdamRSGF algorithms, and proves the asymptotic convergence of these algorithms in a convex setting.