Haoran聽Liao
Senior Research Scientist at Q-CTRL
United States
Summary
馃懁
Senior馃帗
Top SchoolHaoran Liao is a senior research scientist specializing in quantum computing with nine years of experience spanning academia and industry. Currently at Q-CTRL, he focuses on quantum error correction, superconducting qubit device physics, and quantum algorithms, building on a Ph.D. from UC Berkeley. His work bridges theory and experiment, from tensor-network methods and open-system dynamics developed during his graduate research to hands-on mitigation and characterization of superconducting qubits during an IBM internship. Haoran has led multiple research projects documented on his project page, demonstrating an ability to translate advanced quantum science into practical control and error-suppression techniques. He combines rigorous mathematical training from McGill with applied lab experience, making him effective at closing the loop between algorithm design and device-level implementation. Colleagues describe him as a researcher who pursues both conceptual depth and experimentally verifiable solutions.
9 years of coding experience
5 years of employment as a software developer
Ph.D. Physics, Ph.D. Physics at University of California, BerkeleyB.Sc. Honours Mathematics and Physics, B.Sc. Honours Mathematics and Physics at McGill University
Chinese, French, Chinese, English
Github Skills (15)
sdk10
github-pages10
jekyll10
responsive10
jekyll-theme10
quantum-computing9
source-sdk8
python8
qiskit8
quantum-programming-language8
machine-learning4
deep-learning4
deep-reinforcement-learning4
reinforcement-learning4
tensorflow4
Programming languages (2)
Github contributions (5)
HaoranLiao/dephased_ttn_mera
Nov 2021 - Nov 2022
Contributions:557 commits, 703 pushes, 1 branch in 1 year
HaoranLiao/homework_fall2020
Sep 2020 - Nov 2020
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)
Contributions:204 pushes in 2 months
falldeep-learningreinforcement-learningdeep-reinforcement-learningdeep-neural-networks
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