Lossy Image Compression using Unity and real Quantum Computers

[HuangJunye]

Description

It is in theory possible to encode images without loss as quantum circuits.
In practice, however, this will normally lead to circuits which include a lot of gates and, therefore, are not suited for real quantum computers.
The idea here is to implement (several) lossy image compression/encoding method(s) which will lead to smaller circuits.
Additional the resulting circuits should be tested on real devices and the resulting images should be compared with the base images.
Ideally images up to 256x256 (limit on what can be encoded (without loss) with 15 qubits) should be able to be encoded (and decoded) in a suitable way.
This would allow to run image manipulating effects on real quantum computers instead of only simulators.

Mentor/s

Marcel Pfaffhauser (@TigrisCallidus), creator of Unity plugin of QuantumBlur, a tool for doing quantum things with height maps and images.

Type of participant

• Unity (C#) programmers.
• People with knowledge/interest about image compression
• People with knowledge/interest about quantum circuit optimization

Deliverable

A Unity plugin which allows to test 1 or more different encoding methods as well as results for different types of images (and or methods).

[HuangJunye]

@alanspace Can you comment on this issue so that I can assign you? Please also work with your mentor to refine the project, define scope and deliverables and update the project description in this issue.

[alanspace]

Hello Junye, Thank you for your email. I will meet my mentor next Monday. The description will be filled in afterward. Thanks and regards, Alan

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On Sat, Mar 6, 2021 at 12:09 AM Junye Huang ***@***.***> wrote: @alanspace <https://github.com/alanspace> Can you comment on this issue so that I can assign you? Please also work with your mentor to refine the project, define scope and deliverables and update the project description in this issue. — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#4 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AD7YAZ6OLN2TK6SU62BTNKDTCD623ANCNFSM4WOUSMCA> .