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Why Does Quantum Computing Face an Ongoing Dispute Over "Utility"? — A Mathematical Audit to Transcend Demo-Centric AI Hype

1. Why Does Quantum AI Remain an "Unverifiable Expectation"?

  • Current Landscape: While headlines frequently promise that quantum computing will "accelerate" AI to unprecedented levels, professionals in business and research have yet to witness any tangible, large-scale impact.

  • The Industry's Skepticism: "When will it transition from theory to practice?" "Are these published results merely 'cherry-picked' under highly idealized conditions?"

  • Our Mission: The Quantum Utility Verification Lab is initiating a "Mathematical Audit" to resolve these ambiguous expectations and establish a definitive, rigorous framework for true verification.


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2. Why is "Quantum Supremacy" Often Unreliable? Three Structural Flaws

Identifying the "traps" in current Quantum AI through the lens of a formal auditor:

  1. The Prevalence of "Retroactive Rules" (The Trap of Adaptive Analysis)

    • Are evaluation metrics being surreptitiously adjusted after observing the results?

  2. Asymmetric Comparisons of Computational Resources

    • Does the quantum advantage hold firm when the classical counterpart is fully and fairly optimized?

  3. The Reproducibility Crisis and the Wall of "Finite Closure"

    • Introducing the core "Finite Closure" theory—a fundamental barrier to generalizability—using analogies accessible to cross-disciplinary experts.

2.5 The "Quantum AI Hype" Self-Audit Checklist

A definitive "yardstick" for stakeholders to distinguish between speculative hype and mathematical reality:

  • Pre-commitment: Are evaluation metrics strictly fixed before the commencement of experiments?

  • Non-adaptivity: Is the evaluation data rigorously isolated from the training process (zero data leakage)?

  • Independence: Is there verifiable evidence of independent trials (e.g., seeds, trial IDs)?

  • Parity: Is the classical baseline optimized to its theoretical limit for a fair comparison?

  • Metric Consistency: Are the definitions of Resource $R$ (time, power, cost, or iterations) consistent across both domains?


3. [Main Topic] Proving "AGI Acceleration": A Formal Definition

In this framework, "Utility" is strictly defined by three criteria: (i) Execution under a pre-committed verification protocol $\Pi$, (ii) satisfaction of a prescribed success rate, and (iii) proof that expected quantum resources $E[R_Q]$ are lower than classical resources $E[R_C]$. Any claim lacking these three pillars is categorized as a "performance," not a "proposition of utility."

  • The Verification Protocol $\Pi$: For a claim to be scientifically valid, the "rules of engagement" must be immutable and fixed prior to the experiment.

  • The Three Mandatory Axioms (Audit Standards):

    • Pre-commitment: The evaluation methodology must not be altered post-hoc.

    • Non-adaptivity: Evaluation data must never influence the learning process.

    • Independent Trials: Results must be statistically significant, eliminating "statistical flukes."


4. Audit Deliverables (Evidence-Based Outputs)

A Mathematical Audit is a rigorous practice, not a philosophical stance. We require the following evidence for any verification:

  1. Commit($\Pi$): A verifiable commitment to pre-fixed evaluation rules (via public logs or decentralized bulletin boards).

  2. $D_{\text{eval}}$ Generation Specifications: A process description ensuring total non-adaptivity (no data leakage).

  3. Evidence of Independent Trials: Full disclosure of trial IDs, random seeds, and execution traces to support i.i.d. (independent and identically distributed) claims.

  4. Resource Metrics Matrix: Transparent definitions and empirical measurements of $R_Q$ and $R_C$ (wall-clock time, energy consumption, cloud billing, etc.).


5. Conclusion: Toward an Era Where Only the Rigorous Remains

  • Quantum computers are not "magic wands," but they represent "formidable instruments" when governed by rigorous protocols.

  • The first step toward utility is not found in boundless optimism, but in the "mathematical coldness" of strict verification.

  • The Quantum Utility Verification Lab transforms speculative hype into a "Professional Licensing Exam," accelerating the realization of true, practical quantum application.

 
 
 

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