Ken Mendoza

Still working out how it meshes with Riemannian tools on the GR side—Xu's proof landed where I didn't expect. I'll send coherent notes on Bach and climate soon; would love your thoughts on solidifying these bridges between QM info theory and spacetime geometry.

Xu's unconditional Penrose inequality a clean GR realization of my info-theoretic framework KVn, validated on IBM Quantum), where QM is minimal description and Holevo bounds become explicit geometric structures. It sits right at the category theory/Jordan-Lie algebra intersection I was exploring.

📚 NEXT STEPS: IBM validated results in 2-4 weeks. Grateful to IBM Quantum & Qiskit. Inspired by John Preskill & John Baez on cross-domain quantum. Open to partnerships, licensing, consulting. DM me. #QuantumComputing #QEC (5/5)

🎯 WHY THIS MATTERS:

Most teams have large budgets, institutional backing, and groups of PhDs. Doing this solo shows what's possible when deep expertise, open quantum infrastructure, and focused execution come together.

Analogy: the quantum Olympics — and I qualified.

(4/5)

🔬 THE INNOVATION:

Unlike VQE/QAOA methods suffering from "Barren Plateaus," H²Q uses *thermodynamic entropy divergence* (D = |H - S|) for single-shot verification.

• No optimization loops
• No gradients
• Just physics

***Inspired by the Human Immune System***

(3/5)

📈 THE RESULTS:

- Surface Code: 89.8% → 18.1% false positives (-79.7%)
- Repetition Code: 85.7% → 20.0% false positives (-76.7%)
- Hardware: IBM Quantum Brisbane (127 qubits)

Status: Patent Pending (US 63/927,371 & US 63/933,465)

(2/5)

Just competed head-to-head with IBM and top universities in a global quantum computing challenge — as the ONLY independent researcher, with zero funding. 🧵

Achieved 79.7% error reduction on real IBM quantum hardware using just 10 min of free compute.

(1/5)

🎉 UDI framework (63/927,371 & 63/933,465) maps to IBM Quantum Advantage Tracker—all 3 pathways!

IBM Heron:
• 79.7% fewer QEC errors
• +21pp coherence
• Physics thresholds: ρ=2.67, ρ≈1.0073

attention ⊙ hysteresis + dwell gates = production ready! 🚀

#quantumcomputing #qec

Hi John! Over the holiday I finished some loose ends - music & MDL/parsimony, and climate which seems to extend to tipping points.

|H-S| divergence = approaching phase boundary. Nature's compression organized at regime transitions?...

Have demos + technical writeup. Best email? UCR or Edinburgh?

What fascinates me is the structural climax. The piece is 257 bars long. The 'Golden Mean' (257 / φ) lands exactly at bar 159... right in the middle of the arpeggiated bariolage section, the point of maximum tension.

Bach wasn't just composing; he was executing an optimization algorithm."

very interesting!..."I've been analyzing the Chaconne through an information-theoretic lens. It's the ultimate test case for parsimony.

The entire 15-minute structure (257 bars) is generated from a 4-bar genotype (~60 bits of information). That's a compression ratio of ~750:1!

lol!
😂

At first I I thought how can anything rival THE Chaconne BWV 1004? Then, I realized these are from 16ish yrs before. Lovely. Thanks for this.

Thanks for the heartening info. Sadly, it'll be a long time before we get good eco news "back home." In the 1920s SoCal "Roaring 20s," in your backyard where I grew up, we lost the last California Grizzly in Tujunga in 1927.

3/ Consider ontology not as abstract philosophy, but as a rigorous structural framework—a "research collaborator" that maps genuine mechanistic relationships between domains.

Not analogies or surface similarities, but deep isomorphisms grounded in empirical pathway data.

2/ The current wave of AI/LLM applications largely extracts low-hanging fruit: pattern recognition, text synthesis, narrow reasoning tasks.

But transformative breakthroughs require something more fundamental: ontologically grounded cross-domain frameworks validated by experimental evidence.

On the necessity of ontological rigor in scientific discovery 🧵

1/ In immunology, we're trained to compartmentalize: innate vs adaptive, cellular vs humoral, different pathways for different contexts.

This paradigm serves us well—until we encounter problems that transcend these boundaries.

👍 & 'legitimate connection' is exactly the right bar. I'm exploring similar parsimony questions in biological and materials systems, diff substrate, same curiosity. Your physics work & methodological rigor genuinely help this pursuit not feel like a shot in the dark

Thank you, John. Your caution goes in my draft on parsimony in computational biology - a useful check on my bias. I want elegant connections to exist, which is when "no firm connections known" matters most. What would constitute a legitimate connection is the fascinating part.

Your work illuminates why Occam's Razor works: simplicity isn't our preference, it's nature's algorithm.
Thank you for sharing these beautiful structures. They're not just mathematically profound - they're practically transformative for those of us trying to understand how nature actually computes.

That's beautifully put - 'symmetry and logic' as universe's foundation. What strikes me is how these symmetric spaces might be nature's way of achieving computational parsimony.
That octonions appear in ALL exceptional cases says something profound about how bio/phys systems organize information.

This is really beautiful! Both the math and morphisms. 🐌 🪐⚛️...Not a Mathematician but use abstractions for simulations. Is this possibly the source of abstract structures that get projected into our dimension, as ubiquitous morph memes, spheres, orbits, etc ? Kind of like Plato's cave in math? COOL!

New chapters coming for healthcare and patient advocacy. Stay tuned for smarter, more humane systems.

You may have noticed I've been quieter on socials—heads down, building IP. MedAdvocate.app & more: regulatory-friendly, deep patent coverage.

1) From AI Trenches to Epistemology—(There’s a Twist Coming for Immunology) I'm pretty sure....

Been in the AI trenches—think Cursor, Claude & co. If you’ve tangled with stubborn models, you know: real alchemy is pointing code at your “happy place.”

Mine’s science. #AI #Immunology science.

Left immunology in 2009, jumped back to tech in 2023, now building AI immune models. When I left, Danger Theory wasn’t generally known—100% not known in my company. It still seems rare even in 2025. #immunology #AI

Wild to see biotech folks using “danger theory” ideas but never naming the theory. How often do fields reinvent breakthroughs with no common language? Are there other cases where big ideas spread but stay unnamed? #science #ontology

AI keeps hallucinating and medicine keeps missing tough diagnoses. What if both failures stem from unclear ontologies? I use atomic units of info—union, intersection, difference—to clarify these black boxes.

I couldn't agree more. Healthcare providers are overstretched here on the Central West Coast of Oregon. I hear over and over, in many other less populated regions, the story is the same. Properly integrated AI health systems can streamline patient/provider communication & outcomes.

Launching MedAdvocate.app bringing actionable AI guidance to rural healthcare. Looking for visionaries in healthcare , Comp Biology, those building deeply integrated Bio/AI.

Interested in innovative collaborations -or just chat if curious: danger theory+AI, or the future of health tech! 🚀