import Mathlib import OAI.Computability.QuantumFactoring.BooleanVector namespace OAI section open scoped BigOperators namespace ExactQuantumFactoring open BooleanNetwork Std.Sat namespace AIGCompiler variable {n : ℕ} (g : AIG (Fin n)) def graphWire (i : Fin g.decls.size) : Fin (n + g.decls.size) := Fin.natAdd n i def faninNet (f : AIG.Fanin) : BooleanNetwork (n + g.decls.size) 1 := let v := if h : f.gate < g.decls.size then bit (graphWire g ⟨f.gate,h⟩) else constant false if f.invert then v.bnot else v lemma fanin_count (f : AIG.Fanin) : (faninNet g f).net.count ≤ 2 := by have hv : (if h : f.gate < g.decls.size then bit (graphWire g ⟨f.gate,h⟩) else constant false : BooleanNetwork (n+g.decls.size) 1).net.count ≤ 1 := by by_cases h : f.gate < g.decls.size · rw [dite_eq_left h]; simp · rw [dite_eq_right h]; simp unfold faninNet generalize (if h : f.gate < g.decls.size then bit (graphWire g ⟨f.gate,h⟩) else constant false : BooleanNetwork (n+g.decls.size) 1) = v at * cases hf : f.invert · change v.net.count ≤ 2 omega · change v.bnot.net.count ≤ 2 rw [count_bnot] omega lemma fanin_eval (f : AIG.Fanin) (h : f.gate < g.decls.size) (x : Fin (n+g.decls.size) → Bool) : (faninNet g f).eval x 0 = Bool.xor (x (graphWire g ⟨f.gate,h⟩)) f.invert := by simp only [faninNet, dite_eq_left h] cases f.invert <;> simp def nodeNet (i : Fin g.decls.size) : BooleanNetwork (n+g.decls.size) 1 := match g.decls[i.val] with | .false => constant false | .atom v => bit (Fin.castAdd g.decls.size v) | .gate a b => (faninNet g a).band (faninNet g b) lemma node_count (i : Fin g.decls.size) : (nodeNet g i).net.count ≤ 5 := by unfold nodeNet cases g.decls[i.val] with | false => simp | atom v => simp | gate a b => rw [count_band] have := fanin_count g a have := fanin_count g b omega def nodeDenote (x : Fin n → Bool) (i : Fin g.decls.size) : Bool := AIG.denote x ⟨g, ⟨i.val, false, i.isLt⟩⟩ lemma node_eval (i : Fin g.decls.size) (x : Fin n → Bool) (y : Fin (n+g.decls.size) → Bool) (hi : ∀ j, y (j.castAdd g.decls.size) = x j) (hg : ∀ j : Fin g.decls.size, j.val < i.val → y (graphWire g j) = nodeDenote g x j) : (nodeNet g i).eval y 0 = nodeDenote g x i := by unfold nodeNet nodeDenote cases h : g.decls[i.val] with | false => simpa only [eval_constant] using (AIG.denote_idx_false (assign := x) (invert := false) h).symm | atom v => simpa only [eval_bit, hi, Bool.xor_false] using (AIG.denote_idx_atom (assign := x) (invert := false) h).symm | gate a b => have hab := g.hdag i.isLt h dsimp only rw [eval_band, fanin_eval g a (by omega), fanin_eval g b (by omega), hg ⟨a.gate, by omega⟩ hab.1, hg ⟨b.gate, by omega⟩ hab.2] have he := (AIG.denote_idx_gate (assign := x) (invert := false) h).symm simpa only [AIG.denote, nodeDenote, Bool.xor_false] using he def nodeStep (i : Fin g.decls.size) : BooleanNetwork (n+g.decls.size) (n+g.decls.size) := assign (graphWire g i) (nodeNet g i) def partialGraph (g : AIG (Fin n)) : (k : ℕ) → k ≤ g.decls.size → BooleanNetwork (n+g.decls.size) (n+g.decls.size) | 0, _ => select id | k+1, h => (partialGraph g k (by omega)).comp (nodeStep g ⟨k, by omega⟩) lemma graph_count (k : ℕ) (h : k ≤ g.decls.size) : (partialGraph g k h).net.count ≤ 5*k := by induction k with | zero => simp [partialGraph] | succ k ih => rw [partialGraph, count_comp, nodeStep, count_assign] have := node_count g ⟨k, by omega⟩ have := ih (by omega) omega lemma graph_input (k : ℕ) (h : k ≤ g.decls.size) (x : Fin (n+g.decls.size) → Bool) (j : Fin n) : (partialGraph g k h).eval x (j.castAdd g.decls.size) = x (j.castAdd g.decls.size) := by induction k with | zero => rfl | succ k ih => rw [partialGraph, eval_comp, nodeStep, eval_assign, Function.update_of_ne, ih] intro he have := congrArg Fin.val he simp [graphWire] at this omega lemma graph_value (k : ℕ) (h : k ≤ g.decls.size) (x : Fin (n+g.decls.size) → Bool) (j : Fin g.decls.size) (hj : j.val < k) : (partialGraph g k h).eval x (graphWire g j) = nodeDenote g (fun i => x (i.castAdd g.decls.size)) j := by induction k generalizing j with | zero => omega | succ k ih => rw [partialGraph, eval_comp, nodeStep, eval_assign] by_cases hjk : j.val = k · have hj' : j = ⟨k, by omega⟩ := Fin.ext hjk rw [hj', Function.update_self] apply node_eval g · exact fun i => graph_input g k (by omega) x i · exact fun i hi => ih (by omega) i (by simpa using hi) · rw [Function.update_of_ne] · exact ih (by omega) j (by omega) · intro he have := congrArg Fin.val he simp [graphWire] at this omega /-- The circuit interpreter's own, already verified, AIG semantics is preserved by a retained-trace network of at most five nodes per AIG declaration. -/ theorem graph_correct (x : Fin (n+g.decls.size) → Bool) (j : Fin g.decls.size) : (partialGraph g g.decls.size le_rfl).eval x (graphWire g j) = nodeDenote g (fun i => x (i.castAdd g.decls.size)) j := graph_value g _ le_rfl x j j.isLt /-- Compile designated references of an AIG, starting only with its input bits. All graph slots and their retained evaluation traces are genuine ancillas. -/ def compile {m : ℕ} (refs : Fin m → AIG.Ref g) : BooleanNetwork n m := ((padRight n g.decls.size).comp (partialGraph g g.decls.size le_rfl)).comp (vector (fun i => faninNet g (AIG.Fanin.mk (refs i).gate (refs i).invert))) lemma compile_count {m : ℕ} (refs : Fin m → AIG.Ref g) : (compile g refs).net.count ≤ 6*g.decls.size + 2*m := by rw [compile, count_comp, count_comp, count_padRight] have hg := graph_count g g.decls.size le_rfl have hv := count_vector_le (fun i => faninNet g (AIG.Fanin.mk (refs i).gate (refs i).invert)) (fun i => fanin_count g (AIG.Fanin.mk (refs i).gate (refs i).invert)) omega lemma compile_correct {m : ℕ} (refs : Fin m → AIG.Ref g) (x : Fin n → Bool) (i : Fin m) : (compile g refs).eval x i = AIG.denote x ⟨g, refs i⟩ := by rw [compile, eval_comp, eval_comp, eval_vector, fanin_eval g _ (by simpa using (refs i).hgate), graph_correct, eval_padRight] have he : (fun j : Fin n => Fin.append x (fun _ : Fin g.decls.size => false) (j.castAdd g.decls.size)) = x := by funext j; exact Fin.append_left .. rw [he] simp only [nodeDenote, AIG.denote, Bool.xor_false, AIG.Fanin.gate_mk, AIG.Fanin.invert_mk] /-- The whole output BitVec of a native, already verified, arithmetic bitblaster is now a Boolean network with a linear overhead in its AIG graph size. -/ def compileVec {w : ℕ} (refs : AIG.RefVec g w) : BooleanNetwork n w := compile g (fun i => refs.get i.val i.isLt) lemma compileVec_correct {w : ℕ} (refs : AIG.RefVec g w) (x : Fin n → Bool) (i : Fin w) : (compileVec g refs).eval x i = AIG.denote x ⟨g, refs.get i.val i.isLt⟩ := compile_correct .. lemma compileVec_count {w : ℕ} (refs : AIG.RefVec g w) : (compileVec g refs).net.count ≤ 6*g.decls.size + 2*w := compile_count .. end AIGCompiler end ExactQuantumFactoring end end OAI