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Quantum computing for art exploration and creation

Alain Lioret

Published Jul 27, 2014• 4 citations
Publisher

Abstract

Art is often a question of representation. And representation of life is at the heart of artistic creation. If one dives into very small size scales (beyond the famous Planck constant), we can work on the representation of life at the atomic scale. As everyone knows, at this scale, it is not the principles of classical physics that apply, but those of quantum mechanics. If one is interested in living in this type of dimension, he is faced with a population of protons, photons, electrons and other particles, which form a strange ecosystem, and whose quantum behavior is difficult to understand. The behavior of the elementary particles of our life defies our usual sense of space and time. Also, these particles form a living world in a higher number of dimensions. There are at least four dimensions, and probably more. [1]. As a digital and generative artist, it is quite exciting to be interested in this type of representation, and the use of a computer helps us in this way. Quantum Computers are not yet available, but many simulation tools exist and allow us to make quantum calculations that are no longer based on the classic use of bits, but are instead based on qubits.

DOI
10.1145/2619195.2656283

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Not so long ago, humans were a group of primates living on the savannah. We are reasonably proficient at estimating the trajectory of medium-sized objects, such as falling rocks and arrows, moving at moderate speeds. However, one must acknowledge that our intuition falters when it comes to understanding the behaviour of micro objects moving at very high speeds.Consider, for instance, the famous double-slit experiment. If you throw a ball towards two slits, the ball will pass through one slit, according to a common-sense prediction. However, when small particles, such as photons or electrons, are projected through two closely spaced apertures, the result is as if the particles simultaneously pass through the two apertures. In quantum physics, this unintuitive observation is explained by the wave-particle duality. It means that, physical entities can possess wavelike as well as particle-like characteristics. 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Among the aforementioned works, we noticed the use of quantum principles for creating artistic visualisations of mental states through EEG, as well as the use of art to enhance the visualisation of machine learning techniques. Here, we see art's potential to enhance the comprehensibility and natural intuition of quantum phenomena. This is an interesting approach to make quantum more accessible, intuitive, especially for neophytes.The question that lingers is whether visualisation truly qualifies as art. The answer is nuanced and may rely on the intent itself. A good visualisation can be a piece of art if the machine learning model was created with the sole purpose of producing art rather than for merely explaining a machine learning algorithm.Another perspective is that of Japanese contemporary artist Matsuzawa Yutaka (1922-2006), although we admit that we have not had the opportunity to read the original Japanese text. 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Art is often a question of representation. And representation of life is at the heart of artistic creation. If one dives into very small size scales (beyond the famous Planck constant), we can work on the representation of life at the atomic scale. As everyone knows, at this scale, it is not the principles of classical physics that apply, but those of quantum mechanics. If one is interested in living in this type of dimension, he is faced with a population of protons, photons, electrons and other particles, which form a strange ecosystem, and whose quantum behavior is difficult to understand. The behavior of the elementary particles of our life defies our usual sense of space and time. Also, these particles form a living world in a higher number of dimensions. There are at least four dimensions, and probably more. [1]. As a digital and generative artist, it is quite exciting to be interested in this type of representation, and the use of a computer helps us in this way. Quantum Computers are not yet available, but many simulation tools exist and allow us to make quantum calculations that are no longer based on the classic use of bits, but are instead based on qubits.
The use of quantum computing in the creation of art is proving to be very interesting since it allows both the exploration of digital work using new algorithms and of artistic creation based on new concepts. These new algorithms mainly rely on the use of qubits instead of bits to perform simple or complex operations, which are applied to the components of digital works: namely the pixels in an image, the frames of an animation, the vertices of a 3D object, the words of a text or the notes of a musical score. This article reviews the use of quantum algorithms, using various examples and particularly the new methods being applied in computer graphics.
For more than a century, quantum physics has been discovered. But it is only in recent years that quantum computation knows a very important rise. The quantum computer is under construction (IBM just released the first quantum computer in January 2019), and it is a real digital revolution that is coming. We will gradually move from the use of bits to that of qubits. A new computer is being born. So it is also a new way of thinking that emerges, and which is connected to that so well described by Erwin Schrödinger, the father of the famous cat, in his books Mind and Matter, and Physics in our Time [Schrodinger58]. As artists, we can already experiment with new types of procedural creations based on new algorithms. These work with the use of logical gates, on probabilistic elements that are the qubits, and allow to experiment new concepts close to the microscopic reality of our world: the teleportation, the entanglement, the superposition of the states. What give a lot of creative inspiration. We try to propose some innovative experiments based on quantum cellular automata (QCA), and the use of qubits as elements of artistic representation (contained in Bloch spheres). We perform some experimental creations, playing with quantum paradoxes and possibilities, hazards and uncertainties.
Using atoms as digital bits will start a completely new era in computer design. Atoms cannot be simply manipulated and used like the bits built with transistors. The behavior of matter on the atomic scale follows the rules of modern physics. This behavior cannot be understood in terms of our classical description of the world (i. e. Newtonian mechanics or Maxwell's equations in electromagnetics). The physical theory dealing with such behavior is called quantum mechanics. Its use in the computer industry will most probably cause a revolution in the way we use and understand computers. The author describes how such a quantum computer-a computer based on the rules of quantum mechanics-may work, and how it is going to give incredible speed and problem-solving power.
Not so long ago, humans were a group of primates living on the savannah. We are reasonably proficient at estimating the trajectory of medium-sized objects, such as falling rocks and arrows, moving at moderate speeds. However, one must acknowledge that our intuition falters when it comes to understanding the behaviour of micro objects moving at very high speeds.Consider, for instance, the famous double-slit experiment. If you throw a ball towards two slits, the ball will pass through one slit, according to a common-sense prediction. However, when small particles, such as photons or electrons, are projected through two closely spaced apertures, the result is as if the particles simultaneously pass through the two apertures. In quantum physics, this unintuitive observation is explained by the wave-particle duality. It means that, physical entities can possess wavelike as well as particle-like characteristics. The duality is analogous to the two sides of a coin; the same reality can be described from different perspectives. Unfortunately, this knowledge does not cause that quantum mechanisms are entirely understandable and intuitional. Therefore, the following question remains open, how can we define quantum art when we are unable to fully grasp quantum mechanics? On a similar note, art itself is challenging to understand, albeit for different reasons. It is widely accepted that art is, to a significant extent, a subjective experience. An artist creates a piece of art that evokes diverse emotions and interpretations when presented to different people. Consequently, how can we bridge the gap between quantum mechanics, which is primarily comprehended through mathematics, and art, which is intuitively understood without the need for conscious reasoning? In other words, how can quantum art make the enigmatic world of quantum more intuitive and accessible?To address these questions, we created a challenge for the HackYeah! hackathon, one of the most prominent stationary events in Europe. We invited people to find an artistic way to illustrate the principles of quantum mechanics, including quantum superposition, entanglement, and decoherence. Approximately 700 individuals attended the event. Multiple challenges were submitted by different companies, and the Quantum Art challenge was chosen by 15 teams that ranged in size from two to seven people. After a short description of the challenge in Section 2, we explore some of these contributions in Section 3. Lastly, Section 4 concludes the paper. In our opinion, the artwork presented, especially the visual ones, helped to makes quantum principles more understandable, intuitive.The purpose of the challenge was to find an artistic way to illustrate quantum mechanics, specifically quantum superposition, entanglement, and decoherence.Quantum superposition refers to a phenomenon where a single particle can exist in two states simultaneously. In contrast to a 'normal' bit, which can be either 0 or 1, a quantum bit is a superposition of both 0 and 1.The measurement operation is the process through which a quantum state is collapsed to either the state 0 or 1. Let us consider two quantum bits; the possible measurement outcomes can be one of the following four combinations: 00, 01, 10, or 11. When only two of these combinations are possible, such as 00 and 11 or 10 and 01, one can state that the quantum bits are entangled because the state of one qubit affects the state of the second qubit and vice-versa.Decoherence of the quantum state is an effect that results from microscopic interactions between the quantum bits and the environment. This environmental noise impacts the state of the quantum bits and can lead to errors in computation. In other words, multiple measurements of the same quantum computation may yield different results. Different quantum computer architectures exhibit varying levels of noise.Here, the following question arises: How can people represent the principles of quantum mechanics in a way that it is tangible, visible, or even audible?In this section, we present a selected panel of examples that were implemented during the HackYeah! hackathon.This project effectively demonstrates the concept of quantum decoherence. It showcases a mosaic in which the arrangement of image elements is determined by the outcomes of quantum measurements (Figure 1). Various mosaics are generated following these measurements and are subsequently combined into an animated GIF. Notably, the greater the instability of the quantum computer, the more pronounced the glitches become within the mosaic. As a testament to its excellence, this project emerged as the winner of the challenge. The project is available on GitHub at https://github.com/lukilesny/quantmosaic.This code is based on the previous quantum art of Wiktor Mazin, 1 which exploits the Julia fractal set for image generation. Julia fractals are fractals based on a recursive suite of a complex number.The code performs a straightforward computation that involves the measurement of two qubits. The probabilities of these qubits being in either state 0 or 1 are employed to initialise the real and imaginary part of the complex numbers in the Julia set. The resulting Julia fractal is presented as an image, which is then further customised through user input. This customised image is subsequently passed to the text-to-image artificial intelligence model Stable Diffusion to create both personalised and quantum artwork. This project also illustrates the concept of quantum decoherence. The project is available on GitHub at https://github.com/Havystar/QUANTIUM.This work is also inspired by the contributions of Wiktor Mazin; however, it diverges by focusing on the creation of music rather than images. It resonates with the European project on Quantum Music2 (e.g., (1)), with the distinction being that instead of encoding notes into quantum states, it employs fractals to generate eight distinct musical notes.The project is available on GitHub at https://github.com/kmazrolina/Quanterpoint.This project is also an application of quantum music. It breaks down musical compositions into 4/4 tempo measures. Each measure is encoded using a set of four qubit quantum circuits, with each quantum bit symbolising a distinct musical element, encompassing notes, rhythm, and pauses. Diverse variations of a melody are generated, each of which is closely tied to a specific quantum architecture. It is akin to experiencing music through a quantum lens that unveils the distinctive quantum voice of each architecture.The project is available on GitHub at https://github.com/git-stashic/quantum-art.This project serves as an in-depth exploration of variational quantum circuits (VQCs) applied to the classification of the IRIS dataset. The classification results are then presented through Seaborn graphs (a library for scientific visualisation). This project is classified as scientific visualisation rather than art, but the effort merits our attention. A similar approach with VQCs can be observed in the pyRiemann-qiskit library (2), as showcased in the library documentation. 3 In this example, the learning parameters of the VQC are ingeniously illustrated as a spiral, with each branch signifying the variation in weight of a specific parameter.Additionally, the project delves into Bubble Art, drawing inspiration from the work of Radha Pyari Sandhir. 4 The core concept involves encoding a string into qubits and subsequently measuring the outcomes of computations performed on them. The resulting measurements are then transformed into bubbles. The size and number of bubbles convey information, with smaller, numerous bubbles indicating more noise, while larger bubbles represent measurements that yield the same results.The project is available on GitHub at https://github.com/dr3du4/Quantium.Autoencoders are a class of neural networks that are commonly employed to extract an efficient representation of specific data, akin to dimension reduction techniques. In this particular scenario, the team proposed the use of a variational autoencoder, with its parameters initialised with the measurement of a quantum circuit. The autoencoder's purpose is to learn a concise representation of a cat by using the Kaggle CAT dataset. Dimensionality reduction essentially serves as a means of compressing the data, resulting in a deliberately artistic blurring or fuzziness effect on the original image.The project is available on GitHub at https://github.com/polish-mountain/quantum-vae.Here, the concept revolves around the initialisation of a quantum circuit with brain wave frequencies, such as alpha and beta waves. Quantum operations are run on these states, and the outputs are measured in classical bits. Then, the resulting measurements are translated into values of saturation and luminance, ultimately contributing to the customisation of a piece of artwork.Essentially, it can be described as an electroencephalography (EEG) state personalised through quantum randomness. What makes this idea particularly intriguing is its potential for expansion. By introducing different qubits that represent the mental states of other users, brain synchronisation could be further represented by entangled states. When two users are competing or cooperating to solve a task, the synchronization between their mental states only allow for certain measurement probabilities, which is akin to a form of entanglement. This notion also resonates with the concept of the quantum brain hypothesis (3), according to which the brain coexists in multiple states simultaneously, which subsequently collapse. In this idea, EEG measurements become a measurement of these quantum brain states, and the task executed by the user while recording the electroencephalogram could be further represented by specific quantum operations. Just to be clear, we do not pretend that this is actually the case, but this project could lead to interesting metaphors between brain states and quantum representation.The project is available on GitHub at https://github.com/kinga-marszalkowska/QuantumBrainArt.Various artistic viewpoints were submitted as part of the Quantum Art challenge at the HackYeah! hackathon, including images, animations, and music. By far, quantum decoherence -that is, quantum noise -was the most exploited quantum concept. While quantum superposition was used internally, it was not -in our opinion -sufficiently highlighted by the presented artworks. As for quantum entanglement, it was explored under the concept of quantum music. Apparently, it is not always intuitive for people to understand quantum entanglement simply by hearing music. Saying that, you need a certain level of knowledge to build appreciation. For example, children need to learn different tastes to appreciate food. Among the aforementioned works, we noticed the use of quantum principles for creating artistic visualisations of mental states through EEG, as well as the use of art to enhance the visualisation of machine learning techniques. Here, we see art's potential to enhance the comprehensibility and natural intuition of quantum phenomena. This is an interesting approach to make quantum more accessible, intuitive, especially for neophytes.The question that lingers is whether visualisation truly qualifies as art. The answer is nuanced and may rely on the intent itself. A good visualisation can be a piece of art if the machine learning model was created with the sole purpose of producing art rather than for merely explaining a machine learning algorithm.Another perspective is that of Japanese contemporary artist Matsuzawa Yutaka (1922-2006), although we admit that we have not had the opportunity to read the original Japanese text. Our understanding is based on the writings of Alan Longino from the Department of Art at the University of Chicago (4):"Trough Quantum Art, Matsuzawa invited future readers, viewers, and participants to conceive of a world where objects, bodies, images, and matter become less defined, more permeable, and bound together in limitless intimacy".In essence, the artist's manifesto is a call for renewal, a break from artistic conventions, similar to the role of quantum physics in the physical sciences.
Quantum physics is the golden child of modern science. It is the basis of our understanding of atoms, radiation, and so much else, from elementary particles and basic forces to the behavior of materials. But for a century it has also been the problem child of science as it has been overwhelmed by intense disagreements between its inventors, strange paradoxes, and implications that seem like the stuff of fantasy. To understand the universe, quantum physics explores the behavior of the smallest particles in existence like quarks, electrons, and photons and which revealing a world that defies our everyday experiences and expectations. On the other hand, quantum mechanics (QM) is a fundamental theory in physics that describes the behavior of matter and energy at the atomic and subatomic levels, where classical physics fails to apply. However, the phenomena observed in QM can seem nothing short of miraculous. Physicists are trying to explain miracles of physics of universe meticulously which governed by precise scientific principles and mathematical equations. It is serious to modern technology, as its principles as well as wave-particle duality, superposition, and entanglement form the basis for electronics, computing, and medical technologies. The truth of QM in a scientific context refers to its exceptional ability to accurately describe and predict experimental results, not a philosophical ‘absolute truth’. Interestingly, the scientific elucidation of creation through quantum physics does not refute and contradict spiritual or religious narratives, rather augments our gratitude of the universe’s complexity and towards Almighty or Creator. The Bible’s or Quran’s account of creation provides a spiritual and philosophical outlook, accentuating purpose and intentionality. The precise explanations of particle behavior and cosmic formation in quantum physics, offers a balancing view grounded in empirical evidence. The purpose of this investigative study is to explore the scientific reality of QM and its purpose to depict the technical advancement for the development of modern civilization along with understand of universe in more logical way.
Why quantum computing? As we all know very well, conventional (electronic) computers have enormous power which, moreover, is constantly increasing. With their help gigantic quantities of data can be handled and evaluated. This is of crucial importance, for instance, in modern high energy physics experiments. On the other hand, computers can be used to model very complex systems with the aim of predicting, for example, future developments in our environment, notably climatic changes. Thanks to their incredible speed computers are, of course, destined to treat mathematical problems for which specific algorithms exist very efficiently. To mention a simple example, the digits of π are readily evaluated up to a very high order. Last, but not least, their potential to solve differential equations numerically, even when they are nonlinear, makes computers indispensable in modern research. So, one might ask, is there any reason to look for fundamentally new ways of computing as they are seemingly offered by quantum processes? What advantages can be expected when the laws of quantum mechanics, rather than those of classical physics, are exploited for computation? Two answers were given: first, the simulation of complex quantum systems on classical computers meets serious difficulties that might be overcome with the help of quantum computers. This idea was suggested in 1982 by R. Feynman, and in the 1990s it was indeed shown by several groups of researchers that quantum mechanical systems for which no efficient simulation on a classical computer is known can be efficiently simulated on a quantum computer.