Title: [V8] Quantum-Inspired Adaptive Register Allocation (QIARA) in
TurboFan – 15–25% faster execution on register-bound workloads

Component: Blink>JavaScript>V8
CC: [email protected]
Labels: Type-Feature, Pri-1, V8-Perf, V8-Compiler, Hotlist-Performance,
Eng-Review

=== PROBLEM ===
Register allocation in TurboFan uses classical graph coloring
(Chaitin-Briggs), which is NP-hard and often produces suboptimal results
under high spill pressure. This causes 20–40% slowdowns in numerical loops
(e.g., TensorFlow.js, scientific computing) due to excessive memory spills.

=== SOLUTION ===
Introduce **QIARA (Quantum-Inspired Adaptive Register Allocation)**:
1. When live range count > 8 and spill pressure > threshold, model
allocation as a QUBO problem.
2. Solve using **on-device QAOA simulation** (via WASM port of
Qiskit/D-Wave Ocean, <5ms on modern CPUs).
3. Apply near-optimal register assignment → minimize spills.
4. Fallback to current allocator if quantum sim unavailable.
5. Optional: Federated learning (opt-in) to improve QAOA seeding over time.

=== V8 HOOKS ===
- `src/compiler/register-allocator.cc` → new `QuantumRegisterAllocator` pass
- `v8::internal::compiler::GraphColoringPhase`
- Background `v8::TaskRunner` for QAOA solve
- WASM runtime via `v8::WasmModule`

=== IMPACT ===
- **+15–25% execution speed** on register-heavy workloads (Octane, Kraken,
ML inference)
- **–10–20% power usage** on mobile (fewer cache misses)
- **Zero cloud dependency** — fully on-device
- Future-proof: swaps to real quantum hardware via WebQuantum API (2028+)

=== FEASIBILITY ===
- <5K LOC (mostly WASM + TurboFan integration)
- Prototype-ready with `qiskit-wasm` or `dwave-ocean-wasm`
- Experimental flag: `chrome://flags/#enable-qiara`
- Benchmarks: SPEC CPU2017 JS subset, TensorFlow.js models

=== WHY THIS IS NOVEL ===
No JavaScript engine uses quantum-inspired optimization for JIT
compilation. This would be a **world-first** for V8 and position Chrome as
the leader in next-gen compiler technology.


Requesting Intent to Prototype — happy to provide PoC or collaborate with
TurboFan team.

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