Secured File Sharing Through Quantum Computing
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
- In present technology, Quantum computing plays a versatile role in data security and privacy. There are many methods for securing the data one of the methods is cryptography. File encryption and decryption become easier when the AES and RSA algorithms improve security. Also, file sharing through the AWS cloud and downloading from it have become more secure for storing data. Here we can add files into images with the help of Stenography. The comparison among the AES and RSA algorithms of performance speed, key size, and bit size is evaluated. In this paper, we proposed a framework for quantum key-based embedding and de-embedding of files and images where security and privacy are achieved. Access IBM server gives us Quantum processing units(QPUs) that are ibm_sherbrooke, ibm_kyiv, and ibm_brisbane. It requires a total of 127 Qubits and 30K CLOPS. Keywords-AES, RSA, Cryptography, Stenography, AWS Cloud, IBM Server
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it