Hello any can help me to solve this answer I want transfer any classical information (Image, Speech, Text and etc.) to qubits(quantum bit)?

Hello any can help me to solve this answer I want transfer any classical information (Image, Speech, Text and etc.) to qubits(quantum bit)?

[Yasameen Khalid]

Hi Hiba, How are you?

I want to contact with you please

I'm from Iraq and my project about quantum image, I need your help.

did you find any answers for your quastion?

please send me a messege, My mail:- [e-mail]

Answer 1

[Walter Roberson]

No, by definition that cannot be done with a classical digital computer -- and MATLAB has not been implemented on any quantum computers.

[hiba rashed]

But my doctor who teach us quantum communication said it can be solve by Matlab simulation library

[Walter Roberson]

Either that doctor is incorrect or else you did not ask the question you thought you were asking. MATLAB can deal with simulations of qubits, not with quibits themselves.

If you were to reduce your speech to 500 Hz of 8 bit samples (telephones are usually 8000 Hz; https://en.wikipedia.org/wiki/Voice_frequency) then if you were to have more than 1/80 th of a second of speech, you would exceed 50 bits of information.

According to https://arxiv.org/ftp/arxiv/papers/1802/1802.06952.pdf

“Quantum supremacy” claims that the limit of classical computers would be transcended if a device of 50 qubits were made [6]. Direct simulations of 50 qubits take about 16-PB of RAM to store the full vectors.

And with the optimizations described in the paper,

We also estimate that a 72-qubit circuit of depth 23 can be simulated in about 16 h on a supercomputer identical to that used by the IBM team

72 bits of that degraded audio would correspond to 72 bits / 8 bits per sample / 500 samples per second which is about 1/56 th of a second. I would have to wonder whether you have access to a supercomputer with available memory exceeding 16 petabytes ? 16 petabytes is 2^54 bytes, and all publicly known x64 implementations only implement 48 address lines. MATLAB specifications are that it handles at most 2^48 bytes (and I would argue that 2^47 bytes is more likely to be the restriction.)