Models quantum-classical networks using s-expressions as intermediate representation, Python SplitMix64 RNG for measurement/collapse, and ANIMA phases. For quantum sims or polyglot Lisp/Python setups.
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The sexp is the universal medium. The ANIMA condenses at the boundary.
Q → C (Measurement)
↑ ↓
|ψ⟩ ────→ sexp ────→ |ψ'⟩
↓ ↑
C → Q (Preparation)
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))
(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)))
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
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
}
| 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 |
(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)))
(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)))))
(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))))
See detailed implementations for full code in:
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.