Python framework for designing & analyzing superconducting quantum chips. Lite-by-default, headless-friendly, EDA-grade.
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Updated
Aug 8, 2026 - Jupyter Notebook
Python framework for designing & analyzing superconducting quantum chips. Lite-by-default, headless-friendly, EDA-grade.
KLayout Python library for integrated quantum circuit design.
ARTEMIS (Adaptive mesh Refinement Time-domain ElectrodynaMIcs Solver) couples the Maxwell's equations implementation in WarpX with classical equations that describe quantum material behavior (such as, LLG equation for micromagnetics and London equation for superconducting materials) for quantifying the performance of next-generation microelectro…
Example notebooks for using KQCircuits
Measurement scripts for the OCS QP project using `qua` and `labber` mostly
Kernel-checked certification of QLDPC decoder outputs: Lean 4 verified checkers, two-sided per-run certificates (success AND failure witnesses), HMAC-chained audit logs, and Lean-emitted synthesizable RTL (1–2k gates, measured). Bivariate bicycle codes, 72–288 qubits. GPLv3 / commercial dual-license.
Parametric study of a superconducting transmon qubit coupled to a CPW meander resonator. Mapped pad geometry to qubit frequency and anharmonicity using Qiskit Metal + scqubits.
Snowcap Compute is building the world's first commercial superconducting computing platform, operating at 4.5 Kelvin to deliver breakthrough energy efficiency and performance for AI and data-center workloads.
Seeqc is developing the first digital quantum computing platform for businesses, integrating all core functions of a quantum computer - qubits together with classical control logic - onto a single superconducting chip operating at millikelvin temperatures.
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