> Miranda, Yeung, Pearson, Meichanetzidis, Coecke (2021). A Quantum Natural Language Processing Approach to Musical Intelligence
> This paper pioneers a Quantum Natural Language Processing approach to classifying music. Using this quantum classifier we use a generate and test approach to generate quantum music. This is a proof of concept, but as quantum devices improve in size and fidelity we will be able to learn a quantum classifier that hard to simulate on a classical device.
from the readme: "but as quantum devices improve in size and fidelity we will be able to learn a quantum classifier that hard to simulate on a classical device." but "For running the code, you will need Python 3.7 or later" - say what??
Further, you need a package lambeq. Which is from cambridgequantum.com which redirects to https://www.quantinuum.com/ which says
"A Unique Full-stack Quantum Computing Company / Our software and applications function universally on any quantum hardware, and our hardware is designed to run any quantum software"
There are a ton of "quantum software" companies that present themselves as consultants that can provide unique computational capabilities to your business once there is quantum hardware which can run that software. All of them sell various SDKs that run on simulators, simulating a handful of perfect qubits and some gates on them (generally pretty useless stuff). If quantum computers are one day built, some of these companies might become the equivalent of Red Hat, but today their services are mostly a waste of money.
I guess when quantum computers do finally get invented, I could start a consulting company selling software for computers which can solve NP hard problems in polynomial time...
> The QuTune Project is aimed at creating resources for making music with quantum computing, and making quantum computing with music.
https://github.com/iccmr-quantum/Quanthoven
> Miranda, Yeung, Pearson, Meichanetzidis, Coecke (2021). A Quantum Natural Language Processing Approach to Musical Intelligence
> This paper pioneers a Quantum Natural Language Processing approach to classifying music. Using this quantum classifier we use a generate and test approach to generate quantum music. This is a proof of concept, but as quantum devices improve in size and fidelity we will be able to learn a quantum classifier that hard to simulate on a classical device.