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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 "Open Hardware in Quantum Technology".

Blueprints and hardware design toolkits

  • pyEPR 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 - Quantum hardware design and analysis for superconducting qubits.
  • KQCircuits - KLayout Python library for integrated quantum circuit design
  • 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: a Bose Einstein Condensate controlled from the cloud.

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

  • QCodes, a Python-based data acquisition framework developed at research centers in Copenhagen, Delft, Sydney, and at Microsoft Research.
  • Auspex, the AUtomated System for Python-based EXperiments, is a framework for performing laboratory measurements.
  • LabScript, 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
  • QLAB.
  • 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 (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, a software created at QuTech specifically designed to implement pulse-level control of quantum spins in the lab.
  • OpenPulse, and Qiskit Pulse (arxiv).
  • Quantify: Quantify is a python based data acquisition platform focused on quantum computing and solid-state physics experiments.
  • Instrument Kit: Python package for interacting with laboratory equipment over various buses.
  • Instrumental: Instrumental is a Python-based library for controlling lab hardware like cameras, DAQs, oscilloscopes, spectrometers, and more.
  • Qick: Quantum Instrumentation Control Kit is a kit of firmware and software to use the Xilinx RFSoC to control quantum systems (arXiv).

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, 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)
  • 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.