Variational Quantum Harmonizer - Sonification Methods for the VQE, or the VQE as a musical interface.
The Variational Quantum Harmonizer (VQH) is a sonification project aimed at quantum algorithms. Additionally, VQH is a command-line interface tool for sonifying the Variational Quantum Eigensolver algorithm. It is also a digital musical interface, enabling artists to flexibly control/design QUBO cost functions that, being optimized by means of a variational quantum algorithm, will generate data that can be sonified in real time.
The VQH interface allows the quick access for simulation and sonification of VQE in a "live-coding" performace setup. Provided access, you can also run the VQE algorithm using real IBMQ or IQM hardware
You can find more information in our publication on the ISQCMC symposium: Variational Quantum Harmonizer: Generating Chord Progressions and other Sonification Methods with the VQE Algorithm
You can listen to music that has used the VQH in its artistic process: Dependent Origination (2023) Hexagonal Chambers (2023-24)
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Clone This repository
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Create a python environment (>3.10 recommended)
Python dependencies:
qiskit, qiskit-optimization, qiskit-aer, qiskit-iqm, iqm-cortex-cli, numpy, matplotlib, PyQt5, prompt_toolkit, python-osc, python-supercollider
Installing dependencies with pip:
pip install qiskit qiskit-optimization qiskit-aer qiskit-iqm iqm-cortex-cli numpy matplotlib pyqt5 prompt_toolkit python-osc supercolliderIf you are sonifying your data with SuperCollider, you should also download and install it
VQH is a prompt-based CLI interface. Within your python environment, you can run a VQE experiment session through the main script VQH.py and using some flags, as described below.
python VQH.py [SESSIONPATH] [PLATFORM] [PROTOCOL]
The flags in square brackets [] are optional, but it is recommended that you set up a personalised sessionpath.
Flag description:
`sessionpath` - The name of the folder where the VQE experiments and all generated data will be stored. Default is "Session".
`platform` - Quantum Platform/Provider used. Available platforms are `local` (qiskit_aer), `iqm` and `ibm`. You should setup the platform with your own credentials. Default is `local`.
`protocol` - Note encoding schemes/protocols for interpreting quantum states as notes, determining how VQE will be sonified. Available protocols are `harp` (default). New protocols are being introduced.
python VQH.py Example local
The following command will start VQH, all generated data will be stored inside a folder named Example_Data/, will use the local simulator, and the harp protocol as default:
Once VQH.py starts, you will be presented with a prompt " VQH=>", where you can call internal commands for different purposes:
`runvqe` - This is the main command. It looks at the current VQE configuration files and current status of the QUBO matrix (no need to restart the program) and runs the VQE according to specification, saving the results and configs used into a subfolder with a given *path_id*, or the experiment's unique index.
`play [type]` - Triggers the SuperCollider sonification. Tye [type] flag denotes the sonification method used (additive, subtractive, etc). Check below for the specification of each sonification type. If unsure, just use `play 1`
`playfile [index] [type]` - Same as above, but sonifies a file stored in your session folder. Parse any stored experiment by using the subfolder's index number.
`stop` - Kills all playing sounds. Necessary for some sonification types.
`quit` or just `q` - Exits the program.
On the First time you use VQH, There won't be any pre-compiled synthesizers yet. For that, you need to store the SuperCollider SynthDefs located in the synth/synthdefs/vqe_sonification.scd and other *.scd files if needed. (Feel free to customize and create your own synthdefs, as long as you use the same name/key for the respective sonification type).
- To compile the synthdefs, open
synth/synthdefs/vqe_sonification.scd, click inside the region inside a SynthDef (such as\vqe_model1_son1) and pressCTRL(CMD) + Enter, which will run the.storecommand after the SynthDef.
If you have done this at least once, you can proceed directly to the next step.
- Boot a default SuperCollider server (
s.boot)
Refer to the paper for a more detailed description on some of the sonification types.
`1` - Additive Synthesis (12 Qubits) [supercollider]
`2` - Additive Synthesis (8 Qubits) [supercollider]
`3` - Arpeggios [supercollider]
`4` - Hexagonal Chambers' Book [zen]
Each session folder contains a subfolder called to_pete. The latest sonification data is stored in a file dependent_origination.json.
If you want to use this data on Zen, there are two options. You either host your own clone of ct-samples, and keep updating your dataset by hand (not recommended) OR
You copy/paste all contents inside the template folder to_pete_template, where you can host the file by using npm run serve. (Make sure to have Node >16 installed). In addition, you may need to generate a custom .pem certificate to allow zen to make https connections, specially if Zen is running on a separate machine.
Apart from VQH.py, there are two other important files for the VQH workflow:
- `h_setup.csv` Contains a QUBO matrix, which follows a specific format
QUBO matrices should be exactly as the one below.
The header should contain the matrix name and note labels.
NO SPACE between commas for header and labels!
Spaces allowed only for coefficients. See `h_setup-Example.csv`
h1,label1,label2,label3,...,labeln
label1,c11,c12,c13,...,c1n
label2,c21,c22,c23,...,c2n
label3,c31,c32,c33,...,c3n
...
labeln,cn1,cn2,cn3,...,cnn
h2,label1,label2,label3,...,labeln
label1,c11,c12,c13,...,c1n
To assist with potential contributions, please contact [email protected].
For convenience, a schematic of the current software structure and main object hierarchies for the latest version (v0.3.x) are depicted below.
VQH is distributed under an MIT License. See the LICENSE file for more information.