Agent skill

condensed-anima-qc

Condensed ANIMA on quantum-classical and classical-quantum networks. All skill compositions materialized as s-expressions across the polyglot substrate.

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SKILL.md

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:

lisp
;; The fundamental form
(condensed-anima
  :seed 1069
  :phase :AT
  :boundary (quantum-classical classical-quantum)
  :substrate (sexp . all-languages))

Network Topology

lisp
(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

python
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

python
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

lisp
(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

lisp
(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

lisp
(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.

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