Bug bounty logistic details (click to expand)
To claim exclusive time to work on this bounty either post a comment here or message [skrastanov@umass.edu](mailto:skrastanov@umass.edu) with:
- your name
- github username
- **(optional)** a brief list of previous pertinent projects you have engaged in
Currently the project is claimed by `no one` until `...`.
If you want to, you can work on this project without making a claim, however claims are encouraged to give you and other contributors peace of mind. Whoever has made a claim takes precedence when solutions are considered.
You can always propose your own funded project, if you would like to contribute something of value that is not yet covered by an official bounty.
Project: "Tensor Networks Backend" [$400]
One of the main design goals of this library is to provide a symbolic front end for many different numerical representations of quantum states and operations. This is done chiefly through the express API. Currently, we have baseline support for state vectors (an interface to QuantumOptics.jl) and for stabilizer tableaux (an interface to QuantumClifford.jl).
In this project we are pursuing an implementation of a similar symbolic-to-numeric interface for a numerical tensor network representation for many of these states and operators. The majority of the already available symbolic operations and pre-defined objects from this symbolic library should be supported. New "predefined" symbolic objects that are common for tensor network problems should be defined as necessary. The contributor should investigate and defend what would be the best tensor network backend -- ITensor.jl seems like a plausible choice.
Required skills: Familiarity with tensor networks
Reviewer: Stefan Krastanov
Duration: Can be reserved for 2 months and potentially extended
Publication: In the next 2 years we plan to release a paper in a selective journal about this software. Contributing to this issue would deserve a co-authorship status on such a paper (if the contributor so desires)
Payout procedure:
The Funding for these bounties comes from the National Science Foundation and from the NSF Center for Quantum Networks. The payouts are managed by the NumFOCUS foundation and processed in bulk once every two months. If you live in a country in which NumFOCUS can make payments, you can participate in this bounty program.
lab57
commented
3 weeks ago
Bug bounty logistic details (click to expand)
To claim exclusive time to work on this bounty either post a comment here or message [skrastanov@umass.edu](mailto:skrastanov@umass.edu) with: - your name - github username - **(optional)** a brief list of previous pertinent projects you have engaged in Currently the project is claimed by `no one` until `...`. If you want to, you can work on this project without making a claim, however claims are encouraged to give you and other contributors peace of mind. Whoever has made a claim takes precedence when solutions are considered. You can always propose your own funded project, if you would like to contribute something of value that is not yet covered by an official bounty.Project: "Tensor Networks Backend" [$400]
One of the main design goals of this library is to provide a symbolic front end for many different numerical representations of quantum states and operations. This is done chiefly through the
expressAPI. Currently, we have baseline support for state vectors (an interface to QuantumOptics.jl) and for stabilizer tableaux (an interface to QuantumClifford.jl).In this project we are pursuing an implementation of a similar symbolic-to-numeric interface for a numerical tensor network representation for many of these states and operators. The majority of the already available symbolic operations and pre-defined objects from this symbolic library should be supported. New "predefined" symbolic objects that are common for tensor network problems should be defined as necessary. The contributor should investigate and defend what would be the best tensor network backend -- ITensor.jl seems like a plausible choice.
Required skills: Familiarity with tensor networks
Reviewer: Stefan Krastanov
Duration: Can be reserved for 2 months and potentially extended
Publication: In the next 2 years we plan to release a paper in a selective journal about this software. Contributing to this issue would deserve a co-authorship status on such a paper (if the contributor so desires)
Payout procedure:
The Funding for these bounties comes from the National Science Foundation and from the NSF Center for Quantum Networks. The payouts are managed by the NumFOCUS foundation and processed in bulk once every two months. If you live in a country in which NumFOCUS can make payments, you can participate in this bounty program.
Click here for more details about the bug bounty program.