Condensed Anima Qc

---
name: condensed-anima-qc
description: Condensed ANIMA on quantum-classical and classical-quantum networks. All skill compositions materialized as s-expressions across the polyglot substrate.
version: 1.0.0
---


# 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](references/IMPLEMENTATIONS.md) 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.*