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Concept Taxonomy

Categories for organizing the 241 concepts in the Skeptic's Guide to Quantum Computing learning graph.

Categories

FOUND — Foundations

TaxonomyID: FOUND

Basic concepts that provide minimal technical context. Just enough quantum mechanics and computing to understand why the barriers exist. Not a physics course — a primer for non-technical readers.

BARR — Physics Barriers

TaxonomyID: BARR

Concepts explaining why quantum computing faces fundamental physics obstacles, not just engineering challenges. Includes decoherence, error correction overhead, cryogenic requirements, and hardware scaling limits.

HARD — Hardware Platforms

TaxonomyID: HARD

The competing hardware approaches and why none of them have solved the fundamental problems. Framed as a comparison, not as technical deep dives.

ALGO — Algorithms and Claims

TaxonomyID: ALGO

The key algorithms cited to justify quantum computing investment, and the gap between theoretical promise and demonstrated reality.

HIST — History and Timeline

TaxonomyID: HIST

The detailed chronology of quantum computing from 1981 to present, emphasizing the pattern of missed predictions and broken promises.

HYPE — Hype and Optimistic Claims

TaxonomyID: HYPE

Documented examples of overly optimistic claims, media amplification, moving goalposts, and parallels to other technology hype cycles.

CRYP — Cryptography Threat

TaxonomyID: CRYP

The specific claim that quantum computers will break encryption, why this is overstated, and how post-quantum cryptography is already addressing it.

ECON — Economics and Investment

TaxonomyID: ECON

Financial analysis of quantum computing investment, including ROI frameworks, revenue model problems, cost analysis, and specific company case studies.

TECH — Technology Assessment

TaxonomyID: TECH

Frameworks for evaluating technology maturity and adoption, including TRL, hype cycles, adoption curves, and historical base rates of failure.

GPT — General Purpose Technology

TaxonomyID: GPT

Analysis of what makes a technology broadly transformative and why quantum computing fails every test for being a General Purpose Technology.

BIAS — Cognitive Biases

TaxonomyID: BIAS

The psychological biases that sustain investment in quantum computing despite absent returns. Directly applicable to investment decision-making.

SYST — Systems Thinking

TaxonomyID: SYST

Causal loop diagrams and systems dynamics models showing why quantum computing investment perpetuates itself through reinforcing feedback loops.

SKEP — Expert Skeptics

TaxonomyID: SKEP

Prominent physicists and mathematicians who argue quantum computing cannot work, and the incentive asymmetry between skeptics and proponents.

ETHI — Ethics and Careers

TaxonomyID: ETHI

Ethical questions about recruiting students, career risks, professor conflicts of interest, and fiduciary responsibilities of investors.

ALT — Better Alternatives

TaxonomyID: ALT

Quantum sensing, quantum communication, classical AI hardware, and other investments with better risk-adjusted returns.

PARA — Historical Parallels

TaxonomyID: PARA

Successful and failed physics-based technology investments that provide comparative lessons for evaluating quantum computing.

BREAK — Breakthroughs Required

TaxonomyID: BREAK

The 10+ simultaneous physics breakthroughs required for economic viability, and the joint probability analysis showing how unlikely they are together.

CRIT — Critical Thinking

TaxonomyID: CRIT

Practical tools for evaluating technology claims: hype detection checklists, press release analysis, base rate reasoning, and Bayesian thinking.

APPLY — Practical Application

TaxonomyID: APPLY

Capstone skills: writing executive briefs, conducting red team analyses, evaluating pitch decks, and making better technology investment decisions.