Open source projects

<h2>Chalmers-qubit</h2>
Chalmers-qubit is a package for simulating the running of quantum algorithms with realistic noise on Chalmers’ superconducting quantum processors. It follows qutip-qip to build a processor that can take in a quantum circuit (e.g., a QASM circuit) and perform a master-equation simulation with added noise such as relaxation (T1) and dephasing (T2). It is also possible to perform Monte-Carlo trajectory simulations and customize the processor to add various types of noise, such as ZZ crosstalk.
License: BSD License (BSD-3-Clause)
Developers: Pontus Vikstål, Shahnawaz Ahmed, Kamanasish Debnath, Akshay Gaikwad, Anton Frisk Kockum
Source code: <a href="https://pypi.org/project/chalmers-qubit/">https://pypi.org/project/chalmers-qubit/</a>
<h2>Tergite</h2>
The software stack for the WACQT quantum computer.
Tergite is the software stack for the WACQT quantum computer at the WACQT Quantum Technology Testbed at Chalmers University of Technology (CTH). It provides a cloud-like interface similar to IBM Quantum, but with more open and lower-level access.
Tergite comprises four components: backend, frontend, Python client, and calibration tool. The Tergite project began in late 2019 at the Quantum Technology Lab, Chalmers, in the software team led by Dr. Miroslav Dobsicek. In 2024, <a rel="noopener" href="https://chalmersnextlabs.se/" target="_blank">Chalmers Next Labs</a> joined the project and currently co-leads its development.
Type of license: Apache 2.0
Developers: Chalmers Next Labs, and Quantum Technology lab at Chalmers university of Technology
Documentation: <a href="https://tergite.github.io/">https://tergite.github.io/</a>
Source code: <a href="https://github.com/orgs/tergite/repositories">https://github.com/orgs/tergite/repositories</a>
<h2>Error-mitigated Quantum Process Tomography (EM-QPT)</h2>
We propose an error-mitigated quantum process tomography (EM-QPT) protocol that significantly enhances the accuracy of quantum gate characterization by characterizing state preparation and measurement (SPAM) errors on probes in identity processes. We further develop a machine-learning-enhanced version (ML-QPT) to create a digital twin of SPAM errors. 
While EM-QPT achieves high-fidelity process estimation, ML-QPT substantially improves precision and robustness, eliminating the need for repeated calibrations. Our results establish a scalable and practical framework for precise and efficient quantum diagnostics, broadly applicable in quantum computing and control. For more details, please refer to arXiv:2505.07725. 
To promote transparency and broad adoption our method, we have open-sourced our implementation at <a href="https://github.com/huangtangy/EM-QPT">https://github.com/huangtangy/EM-QPT</a>.
This python-based code repository presents a systematic framework for implementing and numerically validating EM-QPT and ML-QPT for N-qubit gate operations. 
The tools provided in this repository are readily applicable to experimental setups in superconducting quantum computing that require QPT. We anticipate that this work will serve as a practical and versatile resource for quantum computing research, benchmarking, and device calibration.
Type of license: Open-sourced on Github
Developers: Tangyou Huang
Source: <a href="https://github.com/huangtangy/EM-QPT">https://github.com/huangtangy/EM-QPT</a>, and documentation <a href="https://arxiv.org/abs/2505.07725">https://arxiv.org/abs/2505.07725</a>
<h2>QDesignOptimizer</h2>
Automatic multi-parameter design optimization for superconducting quantum devices QDesignOptimizer (QDO) is a Python package which optimizes the design of quantum devices. It integrates with the Qiskit Metal framework and uses HFSS simulations to iteratively adjust superconducting qubit designs to reach specified target parameters.
Developers: Axel Eriksson, Lukas Splitthoff, Harsh Vardhan Upadhyay, Niranjan Narendiran, Pietro Campana,
License: Apache 2.0 license
Source code: <a rel="noopener" href="https://github.com/202Q-lab/QDesignOptimizer" target="_blank" title="https://github.com/202Q-lab/QDesignOptimizer">https://github.com/202Q-lab/QDesignOptimizer</a>

<h2>OQTO</h2>
The OQTO sample holder is an 8-port sample holder developed in the 202Q-lab for cryogenic measurements supporting 7x7mm and 10x10mm chip sizes. It is a PCB-based design with additional copper parts, occupying a total area of 6x6cm, regardless of chip size. On the PCB, the signals are carried by stripline waveguides for reduced cross-talk between the different ports, with additional via-shielding to improve the leakage between lines. The purpose of releasing this sample holder in an open-source format is to enable other research groups to manufacture and use this sample holder to be used in their research.
Developer: Linus Andersson
Documentation and CAD files etc: <a rel="noopener" href="https://github.com/202Q-lab/OQTO" target="_blank" title="https://github.com/202Q-lab/OQTO">https://github.com/202Q-lab/OQTO</a>
<h2>Switch-matrix</h2>
The 202Q Switch Matrix is a device for digital control of multiple radio-frequency microwave latching switches, both at room- and cryogenic temperatures. It is designed for a 1-unit (1U) size 15-inch rack enclosure, and allows for the fast and tunable control, using Ethernet or Serial communication.
License: CERN Open Hardware License Version 2 - Strongly Reciprocal (CERN-OHL-S-2.0 ) license
Developers: Martin Jirlow
Documentation, software, and CAD files: <a rel="noopener" href="https://github.com/202Q-lab/switch-matrix" target="_blank" title="https://github.com/202Q-lab/switch-matrix">https://github.com/202Q-lab/switch-matrix</a>

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