Research Links

My research

• Google Scholar

Open-source quantum device design

Open-source tools for designing superconducting quantum devices end to end. ML_qubit_design and pyPalace are built by our team (Fermilab / Northwestern) within the Quantum Metal ecosystem .

• ML_qubit_design — ML-based inverse design of qubit parameters
• pyPalace — Python toolkit for open-source EM simulation with AWS Palace
• FreeCAD — open-source CAD for device packaging and hardware

Open-source quantum control

Open-source control and tuneup for quantum devices, where AI/ML models support the calibration loop.

• QICK — open-source qubit control and readout on RFSoC FPGAs
• QCalEval — benchmark for vision-language models on quantum calibration plots, toward automated tuneup

Learning superconducting qubits

• Spin and superconducting qubit lectures (Xanthe Croot)
• C2QA QIS 302: superconducting qubits summer school (2023, experiment-focused)
• C2QA QIS 301: quantum information for experimentalists (2022)
• Practical Guide for Building Superconducting Quantum Devices (PRX Quantum)

From device physics to applications

• Quantum measurement with quantum light (Michael Hatridge)
• Searching for dark matter with a superconducting qubit (David Schuster)

Computing background

• Getting Started with FPGAs (book)
• The RFSoC Book
• Complexity theory basics (Quanta Magazine)