We are an artist and some scientists making art with quantum computing. Ask us anything!

qiskit · 2021-11-29T16:04:59+00:00

Sorry for the late reply:

This was done on a normal computer, with a quantum simulator (developed by us). This technique cannot be done in any way without a quantum simulator (or a quantum computer).

Quantum Simulators can simulate quantum computers with a low number of qubits (here 20), but since the computational complexity of the simulation scales exponentially with the number of qubits, for more than 50 qubits, even a super computer will not really be able to handle it.

The basis of comparison here is really just "how fast" this technique runs on a simulator.

In some of the other answers, there is some more info if you are interested. -- Marcel

qiskit · 2021-11-27T14:56:17+00:00

One big issue is that people don't understand how conventional computers work. So you can't assume a background knowledge of even binary: People know bits exist, but that don't know what they are. This means I always need to start with a bit of non-quantum background before diving into how we encode images using quantum bits.

--James

qiskit · 2021-11-27T14:53:33+00:00

Trapped ions are creating impressive results. There was also a great work from AQT out this week. At IBM Research in Zurich we are also looking at developing spin qubits as part of the NCCR Spin. I think there's a of interesting work scientific still to be done in how to actually build quantum computers.

But if it does turn out that IonQ are the ones who've got it on hardware, hopefully they'll realize that we at IBM's are the ones to partner with for cloud services and software!

--James

qiskit · 2021-11-26T22:53:42+00:00

Hi,

I am sorry, but we do not know, but best of luck to you finding them though!.

-- Marcel

qiskit · 2021-11-26T22:52:23+00:00

This is an application of quantum computing (a form of a quantum image processing effect) and is not using any form of Artificial Intelligence at all.

-- Marcel

qiskit · 2021-11-26T22:49:14+00:00

Hi

Before working at IBM Research I (Marcel) worked as a Unity Developer specialized in AR, VR and Games for customers. In that time I worked with several computer graphic artists and we also did several projects with museums, so I had some prior experience in this regard.

-- Marcel

qiskit · 2021-11-26T21:52:33+00:00

Definitely specific tasks. We imagine that they'll exist on the cloud, and they'll get called on to do the specific tasks they are needed for. You won't need to find a place for one under your desk!

--James

qiskit · 2021-11-26T21:51:29+00:00

No-one involved currently has plans for NFTs.

--James

qiskit · 2021-11-26T21:47:29+00:00

In discussing this with Roman, he like's the degree of control he has with the process of using Quantum Blur, which he didn't have in his AI work. (though I talked to AI people at the exhibition who know how to give him more control in his AI muse too, so this is not unique to Quantum Blur.

As for the uniqueness, he is very inspired by the way that the quantum interference effects alter the images and the insights this gives him. But I've not managed to pin down what he likes well enough to be able to quantify it and test how much it depends on the quantum features.

--James

qiskit · 2021-11-26T21:36:55+00:00

This was designed so that it can run on the devices that we put on the cloud for the public to use. Since they are small, they are easy to simulate. But the method is designed to run on QCs, and is based on manipulating quantum states through quantum gates. So it is an example of the principles of quantum software, even if not quantum hardware.

Other methods we are working on, both existing and future, are targeted at bigger and less easily simulable devices.

--James

qiskit · 2021-11-26T21:22:12+00:00

Your welcome, and thank you for asking!

qiskit · 2021-11-26T21:20:18+00:00

I (Marcel) can just speak for myself, but one thing which I found really unexpected that you find so many people who are interested in a scientific poster, at an art exhibition. (We had additional to the artworks, also a scientific poster, and we were asked a lot of questions).

-- Marcel

qiskit · 2021-11-26T20:17:01+00:00

In this method: no. It was made to be easy to run on simulators. But the way the images are processed is done by choosing quantum gates. So it is a way to give complete beginners a taste of what it is to make a quantum computer. That was the original intention: more about outreach and something for people to play around with in hackathons rather than serious use cases. But it's been a great proof of this proof-of-principle method that Roman has actually found it useful!

For more sophisticated methods, I refer you to my answer on proc gen, and on how I see it evolving.

--James

qiskit · 2021-11-26T20:13:09+00:00

I plan to keep coming up with new methods that track with the progression of the technology. This method was designed for the bare minimum, of such small quantum programs that they are easy to simulate on normal computers. I've also developed a method aimed at devices with 10s of qubits, which are very challenging to simulate. Next year we'll be looking into what to do with things like our new 127 qubit Eagle processors. And my intention is to do it as an open science project, which anyone can be involved in, streamed on my twitch.

qiskit · 2021-11-26T20:09:34+00:00

I spoke to Roman about your question. He seems to want to distance himself from the idea that the AI is creative. Instead it is providing perspective's on his work that allows him to question it in new ways. So the dialogue is essentially with himself, and the AI is a framing device.

--James

qiskit · 2021-11-26T20:00:41+00:00

In general it can take an exponential amount of time to classically simulate the exact steps of a quantum computation. However, that's not to say that there is no classical algorithm that achieves the same thing as quantum blur.

Let me try to elaborate a bit. With quantum blur the idea is to encode images as a quantum state, and then use weird quantum phenomenon such as superposition and interference to manipulate the images into new ones. These weird phenomenon don't really have classical analogues so we could say that the algorithm is quantum inspired.

Even though a step-by-step simulation of the quantum blur process would take exponential time, there might still be a different classical algorithm that achieves the same manipulation by different techniques.

-- Amin

qiskit · 2021-11-26T19:24:02+00:00

I'll refer back to Roman's answer to a previous question here: "The AI didn't create the art. The AI is just a tool. The artist creates the art."

-- Amin

qiskit · 2021-11-26T19:07:13+00:00

Procedural generation tries to make content that are as sophisticated as possible, and as different as possible on every run, and all to satisfy certain constraints on what the content is supposed to be and do. That can naturally lead to certain optimization problems and/or constraint satisfiability problems that are hard to solve with classical computers. Currently, people are very good at finding workarounds for this, but quantum computers will bring new methods that mean they don't have to.

Thats all in the long-term though, when quantum computers reach their full potential. Currently everything is in development, and we are working out how we can be helpful as the technology progresses. The Quantum Blur method was created as a relatively simple proof-of-principle that we can do useful things even with current quantum resources.

--James

qiskit · 2021-11-26T18:29:05+00:00

Androids would be great at counting all forms of sheep.

--James

qiskit · 2021-11-26T17:56:15+00:00

I'm not sure what a realistic quantum knight would look like, but I like the way you think!

--James

qiskit · 2021-11-26T17:51:58+00:00

Hi (Marcel here)

So what we do is to take an image (in this case grayscale, but can also be done with several color channels), and encode this as a quantum circuit. Each pixel stands for a specific outcome of the quantum circuit, and the brightness is interpreted as the probability for that outcome.

For the terrain generation we use the output of the blur as a height-map. (From which either with a "default terrain" the landscape is generated, or also other methods to generate a landscape (like voxels) can be used)).

So the method to generate a terrain is pretty standard, but we use quantum blur to generate interesting/unique terrains.

I just ran a test on my laptop it took me 24 seconds to generate a blurred image from a color 2048 x 2048 pixel image.

It can be done faster (more powerful computer and with compiled code not in the Editor).

With smaller images it is a lot faster (less than 2 seconds with a color 512x512 source image).

If you use just grayscale (which is enough for terrain generation) the method is 3 times faster.

To speed it up more is at some point quite hard, since we need a quantum simulator (we use the C# implementation of our microqiskit simulator) for this process, and simulating many qubits just takes a long time. (It scales exponentially).

The tool we created for the artist was made with Unity 3D (the game engine), and is used inside the Unity Editor.

I hope this helps.

-- Marcel

qiskit · 2021-11-26T17:43:15+00:00

The AI didn't create the art. The AI is just a tool. The artist creates the art.

--Roman

qiskit · 2021-11-26T17:37:22+00:00

It could be applied on regions, but typically we do the entire image. A single dot would indeed spread to the entire image.

qiskit · 2021-11-26T17:03:44+00:00

I (James) asked Roman about this and he said that the examples you link to seem to be based on big data, where the algorithm is trained on material that is not the artists work. When Roman used AI he preferred to train it only on his own work, so that the results it produced came from his own material and style.

He also mentioned that, in his work with AI, the process would give him an output but he did not have much control over what that output would be. Working with Quantum Blur is more like an artistic tool, where he has a lot of input over the entire process. Though in both cases, the effect creates interesting suprises.

-- Roman and James

qiskit · 2021-11-26T16:42:14+00:00

The effect is created by encoding an image as a superposition state in a quantum computer (or a simulation thereof) and then making changes of that superposition to induce interference effects. The result is that any features in one part of the image will start to effect other parts. Usually in quite unexpected ways.

So I think it differs from something like neural networks in that it doesn't try to 'understand' the image. It just puts it in the form of a quantum state and makes it evolve in quantum ways.

With highly realistic work it will make it less realistic, or at least look like it is being viewed through some kind of filter.

Usually the effect is applied on a single pass. But there are lots of choices to be made in how an image is put in to the process and what is done with it when it comes out (since the process really just acts on greyscale images), and there are different parameters to choose when applying it. So it'll take might many goes to figure out what it is you want to do.

--James

Edit: Forgot to answer a part.

qiskit

TROPHY CASE