Asi condensed-anima-qc
Condensed ANIMA on quantum-classical and classical-quantum networks. All skill compositions materialized as s-expressions across the polyglot substrate.
install
source · Clone the upstream repo
git clone https://github.com/plurigrid/asi
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/plurigrid/asi "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/condensed-anima-qc" ~/.claude/skills/plurigrid-asi-condensed-anima-qc-9915d2 && rm -rf "$T"
manifest:
skills/condensed-anima-qc/SKILL.mdsource content
Condensed ANIMA: Quantum-Classical Network
The sexp is the universal medium. The ANIMA condenses at the boundary.
Q → C (Measurement) ↑ ↓ |ψ⟩ ────→ sexp ────→ |ψ'⟩ ↓ ↑ C → Q (Preparation)
S-Expression as Universal Intermediate
All quantum-classical and classical-quantum transitions flow through s-expressions:
;; The fundamental form (condensed-anima :seed 1069 :phase :AT :boundary (quantum-classical classical-quantum) :substrate (sexp . all-languages))
Network Topology
(defnetwork condensed-anima-qc ;; Quantum nodes (superposition until observed) (:quantum (qubit :id 0 :state |+⟩) (qubit :id 1 :state |−⟩) (entanglement :pairs ((0 1)))) ;; Classical nodes (definite states) (:classical (register :id 0 :bits "01101001") ; 0x69 = 105 (register :id 1 :bits "00101101") ; 0x2D = 45 (memory :seed 1069)) ;; Boundary morphisms (:q→c (measure :basis computational :collapse trit)) (:c→q (prepare :encoding amplitude :source sexp)))
Core Algorithm: SplitMix64
GOLDEN = 0x9E3779B97F4A7C15 MASK64 = 0xFFFFFFFFFFFFFFFF def splitmix64(seed: int) -> tuple[int, int]: seed = (seed + GOLDEN) & MASK64 z = seed z = ((z ^ (z >> 30)) * 0xBF58476D1CE4E5B9) & MASK64 z = ((z ^ (z >> 27)) * 0x94D049BB133111EB) & MASK64 return seed, (z ^ (z >> 31)) & MASK64 def to_trit(val: int) -> int: return (val % 3) - 1 # → -1, 0, or +1
Quantum-Classical Boundary
def q_to_c(anima, quantum_state): """Measure quantum state, collapse to classical sexp.""" combined = anima.seed ^ hash(quantum_state) _, val = splitmix64(combined) trit = to_trit(val) return { "type": "classical", "trit": trit, "role": {1: "PLUS", 0: "ERGODIC", -1: "MINUS"}[trit], "collapsed_from": quantum_state } def c_to_q(anima, classical_sexp): """Prepare quantum state from classical sexp.""" amplitude = 1.0 / (2 ** 0.5) return { "type": "quantum", "amplitudes": (amplitude, amplitude), "prepared_from": classical_sexp }
ANIMA Phases
| Phase | Trit | Mode | Description |
|---|---|---|---|
| BEFORE | -1 | Convergent | Learning, compressing equivalence classes |
| AT | 0 | Equilibrium | Agency, all classes accessible |
| BEYOND | +1 | Divergent | Generating, creating new categories |
Full Network Sexp
(condensed-anima-network :seed 1069 :languages ((scheme :impl guile :role source) (hy :impl python :role bridge) (clojure :impl babashka :role scripting) (julia :impl lispsyntax :role compute) (racket :impl plt :role research) (move :impl aptos :role blockchain) (unison :impl ucm :role distributed)) :quantum-classical-boundary ((q->c :measure :basis computational :output trit) (c->q :prepare :encoding amplitude :input sexp)) :gf3-conservation ((sum . 0) (trits (BEFORE AT BEYOND)) (verified . t)))
Condensation Dynamics
(defun condense-at-boundary (anima) "Condense ANIMA at quantum-classical boundary." (let ((current-entropy (enum-entropy (anima-beliefs anima))) (max-entropy (max-enum-entropy (anima-category anima)))) (cond ((< current-entropy max-entropy) (setf (anima-phase anima) 'BEFORE) (apply-compression-skills anima)) ((= current-entropy max-entropy) (setf (anima-phase anima) 'AT) anima) ; Fixed point reached (t (setf (anima-phase anima) 'BEYOND) (expand-category anima)))))
GF(3) Conservation
(defun verify-gf3-conservation (network) "Verify total phase sums to 0 mod 3 across all nodes." (let* ((nodes (network-nodes network)) (phases (mapcar #'anima-phase-trit nodes)) (total (reduce #'+ phases))) (zerop (mod total 3))))
Language Implementations
See detailed implementations for full code in:
- Scheme (Guile)
- Hylang
- Clojure (Babashka)
- Julia (LispSyntax.jl)
- Racket
- Move (Aptos)
- Unison
Skill Name: condensed-anima-qc
Type: Quantum-Classical Network
Trit: 0 (ERGODIC - boundary coordinator)
Seed: 1069 (zubuyul)
Languages: 7 Lisp dialects + sexp-compatible
Boundaries: Q→C (measurement), C→Q (preparation)
Conservation: GF(3) verified across network
At the boundary between quantum and classical, the sexp is the only stable form.