Unitary Fund

Because evolution is unitary.

We’ve awarded microgrants to over 30 teams across 14 countries, resulting in 8 completed or planned publications, welcoming 12 people into the field, and helping to form 1 new startup.

Could you be next? Apply here.

Grants Made

  • grant

    To Lorenzo Buffoni, to develop SQWalk, A Stochastic Quantum Walk simulator based on QuTiP.


  • grant

    To Jonas Schwab and the ALF collaboration, to develop pyALF, the Python interface of the ALF project, a powerful and flexible package for Quantum Monte Carlo simulations of fermion systems.


  • grant

    To the teams at Orange Quantum Systems and Qblox, to develop Quantify Core, an open-source Python-based data acquisition and experiment control platform for quantum computing and solid-state physics experiments. It is built on QCoDeS and is a spiritual successor of PycQED.


  • grant

    To Diego Ariel Wisniacki, Martin Larocca, Emiliano Manuel Fortes to develop Krylov and K-GRAPE algorithms integrated with QuTiP. [arXiv]


  • grant

    To Reem Larabi to add more visualization improvements to the %debug tool in Q# by expanding its current set of controls.


  • grant

    To Alessandro Luongo and Armando Bellante to develop Quantumalgorithms.org an open-source web book collecting in an organized manner lectures notes around quantum algorithms for information processing, data analysis and machine learning.


  • grant

    To Goutam Tamvada and Douglas Stebila to develop VeriFrodo, an open-source package implementing a lattice-based quantum-resistant cryptographic algorithms in Jasmin within the Open Quantum Safe project.


  • grant

    To Owen Lockwood to develop a software package using classical deep reinforcement learning to improve quantum optimization, both for quantum simulations and hardware integration.


  • grant

    To Daniel Stilck França to develop a software package that will help benchmark the limitations of noisy quantum devices for solving optimization problems. [arXiv] [QIP talk on the technique].


  • grant

    To Rhea Parekh and Stephen DiAdamo to further develop Interlin-q, a distributed quantum-enabled simulator integrated with QuNetSim.


  • grant

    To Dariusz Lasecki to build an open-source Python library that delivers easy-to-use high-quality pre-trained machine learning models to predict good QAOA starting parameters for selected classes of problems.


  • grant

    To Oscar Higgott, to continue developing and maintaining PyMatching, a Python package for decoding quantum error correcting codes with minimum-weight perfect matching (MWPM). [arXiv]


  • grant

    To Nicola Mosco, to develop Marta CT, a software package in Julia for medical diagnostics that uses a quantum-tomography-inspired technique for state reconstruction in order to reduce the radiation dose patients receive. [arXiv]


  • grant

    To the QWorld, team, a follow-up grant to be incorporated as a non-profit organization and step up their activities. [arXiv]


  • grant

    To the team at Qubit By Qubit, to develop courses and materials to educate a diverse ecosystem of open source quantum contributors.


  • grant

    To Pedro Rivero Ramírez for QRand, a multi-platform quantum random number generator library integrated with numpy.


  • grant

    To Jacob Miller for a PyTorch toolbox for matrix product state models.


  • grant

    To Rochisha Agarwal and Natansh Mathur to create a Machine Learning Textbook with integrated code and visualization.


  • grant

    To Mark Cunningham to explore applications of quantum computing to medical imaging.


  • grant

    To Spencer Churchill to write Quantum Tales, short stories with code where quantum algorithms are applied to solve tasks.


  • grant

    To Daniel Tan to develop and open source the Optimal Layout Synthesizer for Quantum Computing, OLSQ. This compiler beats other benchmarks on optimal layout of computational qubits onto physical qubits. [arXiv] [arXiv]


  • grant

    To Lia Yeh and the fullstackquantumcomputation.tech team to build community-driven open-source educational resources for quantum computing. [site] [discord]


  • grant

    To Olivia De Matteo and Sarah Kaiser to build and optimize an open source Q# library for quantum RAM. [github]


  • grant

    To Roger Luo to continue the development of Yao.jl, a software for solving practical problems in quantum computation research. The grant will support Yao's new DSL compiler development, which includes an extensible DSL infrastructure, Julia-based frontend, Julia AST and QASM code generator, and a quantum circuit simplification infrastructure based on pattern matching. [github]


  • grant

    To Mark Shui Hu to further develop Qsurface, a simulator package for surface codes. The grant will improve visualization methods and facilitate the collaboration of an open, modular platform for surface code simulations. [github] [Docs]


  • grant

    To Muhammad Usman Farooq for a research internship in the Yao group that lost funding due to the COVID crisis. They aim to construct a quantum channel with a Classical input Reverse Information Cost of zero.


  • grant

    To Dariusz Lasecki to build an open source QAOA library and examples using Q#.


  • grant

    To Stephen DiAdamo to develop QuNetSim, a quantum network Python simulation framework for investigating quantum network protocols. [github] [arXiv] [video]


  • grant

    To Vincent Russo to support toqito, an open source Python toolkit for quantum information theory with extra functionality to study non-local games. [Github]


  • grant

    To Klementyna Jankiewicz and Piotr Migdal to develop widgets that embed visualizations of quantum states and ops into blog posts, interactive textbooks, and explorable explanations. These are extensions from their work on a new version of QuantumGame. [QuantumGame - Github] [Bra-Ket-Vue - Github]


  • grant

    To Abdul Karim Obeid and the QHyp project, developing research and software at the intersection of quantum contextuality and probabilistic programming. [Publication]


  • grant

    To Qrack an open source, comprehensive, GPU-accelerated framework for simulating universal quantum processors. [Docs] [Benchmarks]


  • grant

    To Alexandru Paler and Daniel Herr to develop zxQentiana an open source, resource estimator for time and space tradeoffs for the surface code that uses pyZX compilation. [github]


  • grant

    To QCousins to support their mission of welcoming a young and diverse group of programmers into quantum computing. The grant will fund more of their quantum programming workshops and educational materials. [Workshops we funded]


  • grant

    To SciGym to build open source library for reinforcement learning environments in science. Examples include training a surface code decoder.


  • grant

    To Gate42 to build an open source library for quantum error mitigation and dynamical decoupling: both techniques for compiling programs to reduce the effect of noise in quantum processors.


  • grant

    To the NISQAI project to build a library for machine learning with near-term quantum processors. [Proposal] [Video] [arXiv] [publ.]


  • grant

    To Petar Korponaić to support and extend the Quantum Programming Studio, an open source in-browser IDE for multi-platform quantum programming. This project became the startup Quantastica that makes cross-platform quantum software. [Twitter] [Website]


  • grant

    To Lucas Saldyt to prototype a probabilistic programming language for quantum computing. This library is called Qurry.


  • grant

    To Aleks Kissinger and John van de Wetering to support the development of pyZX, an optimizing quantum circuit compiler based on a diagrammatic semantics from monoidal categories. This work resulted in two publications: (i) an overview of the pyZX library and (ii) benchmarks showing that pyZX outperforms the state of the art in reducing T-Count. [arXiv1] [arXiv2] [Video] [Website]


  • grant

    To Adam Kelly to extend his work on the open source QCGPU high performance quantum circuit simulator [github] [libraries] [website].


  • grant

    To Ntwali Bashige to develop the Avalon quantum programming language and quantum programming communities in India and D. R. Congo.


  • grant

    To Michał Stęchły to build a traveling salesman solver web application and tutorials for Forest based on the quantum approximate optimization algorithm. [github tutorials] [blogpost] [web app source code (it's not live anymore)]


  • grant

    To Carlos Bravo Prieto to implement the Adiabatically Assisted Variational Quantum Eigensolvers in Forest, a hybrid classical-quantum algorithm for solving optimization problems. [github tutorial] [arXiv] [publication]


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