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Name: Levenson-Falk Lab

Type: User

Company: University of Southern California

Bio: Creating superconducting qubits at University of Southern California. GitHub maintained by current grad/undergrad researchers.

Location: Los Angeles

Blog: https://dornsife.usc.edu/labs/lfl/

Levenson-Falk Labs ✌️

Creating superconducting qubits at University of Southern California. GitHub maintained by current grad/undergrad researchers. We're always looking for PhD Students and Postdocs! For more info see: https://dornsife.usc.edu/labs/lfl/

Measurement

Qiskit Metal Extensions

Simulating: Qubit & Cavity & Feedline Systems - Automatic simulation of these systems.
Pre-Simulated Library - Parametric designing extension.
Post Processing - Going from Qiskit Metal to GDS file ready for fabrication.

Levenson-Falk Lab's Projects

andre_candle_sim

cavity-cooling

cavity_sweeps

device_simulator

dissipator

Final version before submitting the preprint

falkbot

fittools

full_device_epr

github101

hmm_analysis

lab_manager

lfl-lab

Levenson-Falk Lab's GitHub. We're always looking for Ph.D. students and Postdocs! https://dornsife.usc.edu/labs/lfl/

lfl_klayout_macros

This repository offers custom PCells and functional macros for KLayout for LFL Lab Workflows

lfl_paperbot

Paperboy-LFL is an automated tool for monitoring academic publications. It searches RSS feeds for specified keywords and authors, then pushes matching articles in a readable format to a designated Slack channel. This automation is fully handled via GitHub Actions.

lfl_presentation_reminder_bot

metal-library

Library of pre-simulated superconducting quantum components built on Qiskit Metal.

ocs_transmon_qubit

Design an OCS qubit with certain properties for fabrication through Lincoln Lab, MIT.

paper_sweeps

qiskit-metal

LFL Qiskit Metal

qps_pid

quantumdevicesem

This program is designed to analyze Scanning Electron Microscope (SEM) images, specifically images of superconducting quantum devices. It uses the Segment Anything library from Meta to identify and segment objects in the image.