Unitary Fund

Because evolution is unitary.

We’ve awarded microgrants to over 68 teams across 23 countries, resulting in 17+ completed or planned publications, welcoming 13 people into the field, and helping to form 2 new startups and 1 new non-profit.

Could you be next? Apply here.

Grants Made

2022 Grants

  • grant

    To Stefanie Muroya Lei and Christoph Kirsch, to develop develop QUARC within the Unicorn framework, a bounded model checking that verifies classical programs using the best classical and quantum algorithms.

  • grant

    To Omid Khosravani to develop adaptive quantum process tomography techniques through the use of reinforcement learning.

  • grant

    To Kaitlin Gili to conduct an outreach project called Iteration One, sparking curiosity among U.S. high school students with the most limited access to physics and computer science knowledge.

  • grant

    To Abdullah Khalid to write a methods focused guide to quantum error correction.

  • grant

    To Hong-Ye Hu, Yi-Zhuang You, and Susanne Yelin, to open-source PyClifford, a fast and flexible Python-based Clifford + few T gates simulator.

  • grant

    To Tim Weaving and Alexis Ralli, to develop Symmer into a fully scalable qubit reduction toolkit for the quantum computing community.

  • grant

    To Paria Naghavi to add code, visualizations, and conceptual content to the QIR Book, to build knowledge bridges for incoming users to the ecosystem.

  • grant

    To Haoxiang Wang and Min Li, to develop a high-level API for variational quantum algorithm (VQA) training with quantum error mitigation.

  • grant

    To Matt Lourens, to develop Dynamic QCNN, a tool to generate quantum convolutional neural network models programmatically.

  • grant

    To Steven Thomson, to create Inside Quantum, a new quantum technology themed podcast focusing on the people behind the research, aimed at showcasing a diverse range of voices in order to promote inclusivity and inspire the next generation of quantum technologists.

  • grant

    To Ayush Tambde, to develop a Higher-Level Oracle Description Language (HODL), so that the compiler can interoperate with other frameworks/languages (OpenQASM, QIR). [arXiv]

2021 Grants

  • grant

    To Lingling Lao, to develop 2QAN, a compiler that optimizes quantum circuits for 2-local qubit Hamiltonian simulation problems. [arXiv]

  • grant

    To Ben Braham, to develop a framework to define and run variational quantum algorithms in QuTiP, leveraging quantum optimal control to parametrize control pulses.

  • grant

    To Hoang Van Do, Elie Gouzien, and Saesun Kim to develop a Heisenberg-picture simulator and universal gate set for high dimensional systems.

  • grant

    To Abuzer Yakaryilmaz and the QWorld team to organize QCourse511, a graduate-level online course on quantum computing and programming.

  • grant

    To George Watkins, Alex Nguyen, Varun Seshadri, and Keelan Watkins to further develop a lattice-surgery-based quantum error correction compiler. [Demo at latticesurgery.com]

  • grant

    To Brian Shi to build Qdot, a Scala 3 library (QASM-transpiler) that allows Scala/Java developers write native quantum/hybrid programs.

  • grant

    To Gerald E. Fux and Dominic Gribben and the TEMPO collaboration to develop an open source python package for simulating non-Markovian open quantum systems using tensor network techniques. In particular, the grant will enable adding two new features: studying the role of environment correlation functions through observables of the system and of multiple environments coupled to a single system.

  • grant

    To Utkarsh Azad and Animesh Sinha to build a visualization tool called qLEET for exploring loss landscapes, expressibility, entangling capacity and trainability for noisy, parameterized quantum circuits.

  • grant

    To Danny Samuel to improve and extend the performance of variational quantum algorithms with error mitigation, benchmarking them with mirror circuits.

  • 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, Julian Matias Ruffinelli to develop Krylov evolution algorithms integrated with QuTiP. [K-GRAPE, Krylov-Loschmidt]. It is hosted at GitHub, and explained on Medium.

  • 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. [arXiv] [blog post]

2020 Grants

  • 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, a series of fairy tales where quantum algorithms are applied to resolve their conflicts.

  • 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. [ software] [paper] [video]

2019 Grants

2018 Grants

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©2020 Unitary Fund