Shinichi Sunami
Shinichi Sunami
Hi! I would like to add [graphix](https://github.com/TeamGraphix/graphix), a python package to compile, optimise and simulate measurement-based quantum computing (MBQC).
**Describe the feature you'd like** 1. Upgrade the sphinx theme to `sphinxawesome_theme` and ensure all introduction pages, tutorial, API docs and examples are shown properly. Make sure builds on readthedocs.org...
**Describe the feature you'd like** Explore whether a fast Clifford (Pauli measurement only) pattern simulation backend can be suitable. It would require an interface to configure the noise model in...
**Is your feature request related to a problem? Please describe.** N/A **Describe the feature you'd like** Add a function or class to `graphix.transpiler` module, to generate a `graphix.Pattern` from a...
Add a .py file in `example` that illustrates the usage and application of TN simulation of MBQC, which contains: - [ ] Detailed, step-by-step description of the TN construction and...
The current implementation only allows the creation of measurement patterns with a fixed set of parameters (rotation angles). However, for quantum-classical algorithms such as VQE or QAOA, it is desirable...
**Is your feature request related to a problem? Please describe.** na **Describe the feature you'd like** Implement pyzx interface to use ZX-calculus as a pattern optimization backend. This means we...
**Is your feature request related to a problem? Please describe.** Currently, graphix does not assume arbitrary initial state for the MBQC. This is not a problem (still universal, just like...
**Is your feature request related to a problem? Please describe.** no **Describe the solution you'd like** It might be beneficial if pattern execution can be done by hand, i.e. if...
Currently, Pauli measurements are determined by checking the angle mod $2\pi$, with non-zero possiblity of incorrect determination of Pauli-measured nodes by numerical errors. I believe it's natural to incorporate Pauli...