# Projects

A few projects that I have been a part of:

## Current projects

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```{image} https://qiskit.org/documentation/_static/images/logo_wordmark.svg
:alt: Qiskit logo
:target: https://qiskit.org
:width: 100%
```
---
:column: col-9

I have worked on Qiskit since 2018, although my activity has reduced as of late given that
I am no longer primarily tasked with development.  Currently Qiskit is the most widely used quantum computing software framework out there.

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```{image} https://qiskit.org/documentation/partners/mthree/_images/truncation.png
:alt: M3 logo
:target: https://qiskit.org/documentation/partners/mthree/
:width: 100%
```
---
:column: col-9

M3 (Matrix-free Measurement Mitigation) is a package designed for scalable mitigation of measurement errors in Qiskit.  It works via a dimensional reduction step, followed by either direct LU factorization, or even better, via preconditioned matrix-free iterative methods.  It is fast, efficient, and easy to use.  It is also fun to work on.

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```{image} https://nonhermitian.org/kaleido/_static/kal_logo.png
:alt: Kaleidoscope logo
:target: https://nonhermitian.org/kaleido/
:width: 100%
```

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:column: col-9


Kaleidoscope is a visualization package for quantum computation that focuses on interactivity. In addition, there is a range of functionality for the Qiskit quantum computing framework for visualizing quantum systems and their associated properties.  This is very much a side project until I get asked to make pretty plots for work, at which point it becomes super useful for visualizating IBM Quantum systems and their associated properties.
````

## Past projects

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```{image} https://qutip.org/docs/latest/images/logo.png
:width: 100%
:target: https://qutip.org
:alt: QuTiP logo
```

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QuTiP is the original open-source library for quantum computation. QuTiP aims to provide user-friendly and efficient numerical simulations of a wide variety of Hamiltonians, including those with arbitrary time-dependence, commonly found in a wide range of physics applications such as quantum optics, trapped ions, superconducting circuits, and quantum nanomechanical resonators.  It has been cited a couple thousand of times, and used across academia, research, and industrial
institutions alike.

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```{image} https://www.scipy.org/_static/logo.png
:width: 100%
:target: https://www.scipy.org/
:alt: SciPy logo
```

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I have contributed a small amount to SciPy by adding a couple of sparse matrix
routines to the `scipy.sparse.csgraph` module.

````