How much does reusable initialization increase the amount of unknown quantum information that can pass through a one-qubit interface? Two internally controllable modules exchange complete registers through a shared bus. Occupied qubits can assist a selected contact without losing their data; independently polarized helpers provide a further improvement even when their preparation is imperfect.
Each module has
For independent known preparations
For every fixed
| Helper promise on the same hardware | Accuracy | Optimal interaction time |
|---|---|---|
| Pure helpers, returned clean | Exact | |
| Arbitrary unknown helpers, all information preserved | Exact | |
| Independent known mixed helpers | Fixed complete-operation error | The entropy-deficit law above |
The exact tasks restore an arbitrary bus and all reference correlations. A full-rank mixed preparation has the unknown-helper scale at zero error; the fixed-error law is not uniform as the error tends to zero. At
Start with the scientific account, then follow the information-flow bound, exact helper laws and contact construction, and imperfect initialization. The physical interpretation joins their mechanisms and resource consequences. Specialists can use the theorem and proof map directly.
| Question | Authoritative account |
|---|---|
| Why can arbitrary internal processing not eliminate the bottleneck? | Conditional entropy and weighted interfaces |
| How do occupied qubits assist without sacrificing their information? | Coherent block construction and exact laws |
| What survives imperfect initialization, including helper references? | Matched mixed-helper law |
| Is there a finite advantage against the entire unknown-helper class? | Exact certificates, error composition, and resource budgets |
| What changes when internal gates have finite duration? | Control models and the bounded-strength compiler |
| Which ingredients are established prior work? | Related work and bibliography |
The converse combines a conditional entropy-rate estimate with a conserved physical entropy deficit. The construction concentrates preparation weight reversibly, uses all remaining qubits as occupied spectators, and decompresses after routing. One common high-probability sector controls preparation error for the entire operation; new control errors have a separate composition bound.
The single educational anchor is John Watrous, The Theory of Quantum Information (2018). The Watrous bridge identifies relevant sections, the author's errata, and the notation changes needed for this project. Three worked examples connect references, coherent contact amplification, and preparation concentration to the proofs.
The 30-milestone map retains 14 background/preliminary and 16 narrative/innovation targets. Each milestone has a central question, an understanding target, earlier dependencies, a conceptual connection, and scientific sources. The learning entrypoint provides the route; the LLM guide maps study and research questions to authoritative files.
From the repository root, using Python 3.13:
python -m pip install -r verification/requirements.txt
python check_repository.py
python verification/tools/test_structure.py
python verification/run_all.pyThe verification guide describes ten deterministic scientific suites, structural regression tests, and the separate actual-GitHub rendering check. Executed scientific outputs and source hashes are in verification/results. Finite numerical identities support the implementations; the written proofs and cited theorems establish universal and asymptotic claims.
The matching results charge contact time with free internal controls, under a per-contact rather than fixed total-norm budget. Initialization and internal compression are resources, not cost-free device operations. The displayed bounded-strength compiler has linear total duration at fixed internal/contact strength ratio; that is not a universal finite-speed impossibility theorem.
Synchronized block translations substantially shorten the exact contact list. With fixed nonzero polarization and
This repository serves as a record of the work and a guide for the author’s self-directed learning. For discussion or potential collaboration, please contact Ruge Lin at gogoko699@gmail.com.
MIT.