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https://github.com/nathanshammah/open-quantum-hardware

a list of quantum open hardware projects.
https://github.com/nathanshammah/open-quantum-hardware

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a list of quantum open hardware projects.

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# Open Quantum Hardware Projects

a list of quantum open hardware projects.



This is thought as a collaborative repository where everyone can add projects that belong to open hardware in quantum science and technology. For open-source software projects in quantum computing, there is the excellent repository by the Quantum Open Source Foundation, with the awesome repository, which includes experimental quantum computing packages. 



A list of projects is already added to this open-quantum-hardware list, but feel free to add more, by opening a pull request, or, if you are not familiar with git, opening a descriptive issue. 



**_NOTE:_**  You can find more information in the following paper: [arXiv:2309.17233](https://arxiv.org/abs/2309.17233) "Open Hardware in Quantum Technology".



## Blueprints and hardware design toolkits

- [pyEPR](https://pyepr-docs.readthedocs.io/) is standing out for superconducting qubits as a platform to design quantum processors. Originally developed at Yale, it is now used by tens of research groups in Northern America, Europe, and beyond. 

- [Qiskit Metal](https://github.com/Qiskit/qiskit-metal) - Quantum hardware design and analysis for superconducting qubits.

- [KQCircuits](https://github.com/iqm-finland/KQCircuits) - KLayout Python library for integrated quantum circuit design

- [PALACE](https://github.com/awslabs/palace): 3D finite element solver for computational electromagnetics



## Remotely-controlled laboratories 

- Chris Monroe’s article highlighted the implementation of software for remote labs.

- ColdQuanta's [Albert](https://www.coldquanta.com/news/coldquanta-announces-quantum-matter-on-the-cloud/): a Bose Einstein Condensate controlled from the cloud. 



## Automate processes in the labs, for example for data acquisition:

- [QCodes](http://qcodes.github.io/Qcodes/), a Python-based data acquisition framework developed at research centers in Copenhagen, Delft, Sydney, and at Microsoft Research.  

- [Auspex](https://github.com/BBN-Q/Auspex), the AUtomated System for Python-based EXperiments, is a framework for performing laboratory measurements. 

- [LabScript](https://docs.labscriptsuite.org/en/latest/), Python based framework for experiment composition, control, execution, and analysis. Developed for quantum science and quantum engineering; deployable in laboratory and in-field devices. Used for example, with [PennyLane](https://github.com/synqs/pennylane-ls)

- [QLAB](https://github.com/BBN-Q/Qlab). 

- [ARTIQ](http://m-labs.hk/experiment-control/artiq/), which stands for Advanced Real-Time Infrastructure for Quantum physics is a software that provides fast control for trapped ions enhanced by the use of FPGAs. Supported by NIST, the National Institute of Standards and Time, it also has [dedicated hardware](https://m-labs.hk/experiment-control/sinara-core/) (electronics) through the Sinara project. Funding and major contributions to the design work were provided by NIST (and still are), but the project has reached beyond NIST. 

- [qupulse](https://github.com/qutech/qupulse), a software created at QuTech specifically designed to implement pulse-level control of quantum spins in the lab. 

- OpenPulse, and Qiskit Pulse ([arxiv](https://arxiv.org/abs/2004.06755)). 

- [Quantify](https://gitlab.com/quantify-os): Quantify is a python based data acquisition platform focused on quantum computing and solid-state physics experiments.

- [Instrument Kit](https://github.com/Galvant/InstrumentKit): Python package for interacting with laboratory equipment over various buses.

- [Instrumental](https://github.com/mabuchilab/Instrumental): Instrumental is a Python-based library for controlling lab hardware like cameras, DAQs, oscilloscopes, spectrometers, and more.

- [Qick](https://github.com/openquantumhardware/qick): Quantum Instrumentation Control Kit is a kit of firmware and software to use the Xilinx RFSoC to control quantum systems ([arXiv](https://arxiv.org/abs/2110.00557)).



### Open-source software for hardware characterization and optimization

- Quantum optimal control, noise calibration, error mitigation, has a side that is amenable to extend hardware into open-software. 

- [C3](https://c3-toolset.readthedocs.io/), an optimal control software with a full quantum state simulator developed mainly at Julich and University of Saarland within the framework of the EU’s open quantum computer, OpenSuperQ, which has an attention to open accessibility. ([arxiv](https://arxiv.org/abs/2009.09866))

- Mitiq, the open source software being developed at Unitary Labs, the R&D arm of Unitary Fund, which can provide customizations with tight integration with specific executors.