APPLICATIONS OF QUANTUM ANNEALING TO MUSIC THEORY
Ashish Arya Ludmila Botelho Fabiola Cañete Dhruvi Kapadia Özlem Salehi
"...might compose elaborate and scientific pieces of music of any degree of complexity or extent"
Ada Lovelace
Charles Babbage
Quantum annealing
Proposition: Find the minimum energy in a landscape
- Ground state = optimal solution
$$ H(t) = \left(1-\frac{t}{T}\right)H_0+ \frac{t}{T}H_P $$
- Different from gate based
$$ H_P = - \sum_{i > j} J_{ij}s_i s_j - \sum _i h_is_i, $$
$$ H(t) = \left(1-\frac{t}{T}\right)H_0+ \frac{t}{T}H_P $$
- Can be encoded in Binary Values
Ising model
- Mathematical model to describe magnetization
\( s_i \in \{-1,+1\} \)
NP-hard!
\( s_i \leftrightarrow x_i = \frac{1-s_i}{2} \)
\( x_i \in\{0,1\} \)
quadratic unconstrained binary optimization
-
Minimizing quadratic functions
$$ y=x^TQx $$
-
Penalty Method
$$ \text{min } y=f(x) $$
$$ \text{subject to: } x_1 +x_2 + x_3= 1 $$
$$\text{min }y=f(x)+P\left(\sum_{i=1}^3 x_i -1\right)^2 $$
Binary variables
Constants
And now for something completely different
Music Generation
4
1
rest
measure
Durations
2
Pitches
C
D
A
E
G
F
B
C
Music Generation
x_{i,j} = \begin{cases}%
1 & \text{note at position $i$ is $j$,}\\
0 & \text{otherwise.}
\end{cases}
$$\sum_{j \in P} x_{i,j} = 1$$
How to define the binary variables?
$$\left ( 1- \sum_{j \in P} x_{i,j} \right )^2$$
- Pitches
- Rules about consecutive notes
$$x_{i,C} + x_{i+1,D} \leq 1$$
$$x_{i,C} + x_{i+1,C} + x_{i+2,C} \leq 2 $$
$$P=\{p_1,p_2,\dots,p_k \}$$
\(x_{i,j}\) for \(i \in [n]\) and \(j \in P\)
$$P=\{\mathtt{C}, \mathtt{D}, \mathtt{E}, \mathtt{G}\}$$
Text
Melody Generation
Optimization
$$ -\sum_{ \substack{i\in [n-1] \\ j,j' \in P}} W_{j,j'} x_{i,j} x_{i+1,j'} $$
weights
Example: Ode to Joy excerpt
$$W_{F\#4,E4} = 2, $$
$$W_{F\#4,F\#4} = 2,$$
$$W_{F\#4,G4} = 1$$
melody Generation
$$\sum_{\substack{i \in [n] \\ j \in D}} d(j)y_{i,j} = L$$
- Duration of notes
y_{i,j} = \begin{cases}%
1 & \text{note at position $i$ has duration $j$,}\\
0 & \text{otherwise.}
\end{cases}
Rhythm Generation
$$ \sum_{j \in D} y_{i,j} = 1$$
$$D = \{1,2,3,4\}$$
$$j \in D$$
And now for something Different
Markov random fields (MRF)
- Set of random variables (0,1) that form an undirected graph and satisfy the Markov property.
Music with MRF
- Antecedent: Algorythms, Generating music with D-Wave's Quantum Annealer (iQuHack 2021)
- D-Wave's Markov Network
G
E
G
B
HARMONIZATION WITH MRF
- Our work: harmonize a melody implementing music theory rules.
Results
Melody Harmonized melody
CONclusıon and future work
- Quantum annealing is an alternative way for composing music.
- Music completion, counterpoint generation, music reduction are some other candidate problems to investigate.
- The work will appear as a chapter in the book "Quantum Computer Music: Foundations, Methods and Advanced Concepts", Miranda, E. R. (Editor).
Thank you!
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Harmonization
x_{i,j} = \begin{cases}%
1 & \text{chord at position $i$ contains note $j$,}\\
0 & \text{otherwise.}
\end{cases}
$$\sum_{j \in P} x_{i,j} = 3$$
$$(1-x_{i,p_{i_j}})$$
G
E
D
G
B
B
G
Copy of Quantum Annealing and Music Reduction
By qumusic
