Quantum-Layered Signature Aggregation — post-quantum signature aggregation protocol for next-generation blockchain infrastructure.
The Problem Current blockchain networks rely on ECDSA and Schnorr signatures — both vulnerable to quantum attacks via Shor’s algorithm. As quantum computing scales, billions of dollars in on-chain assets face existential risk. Existing post-quantum proposals either:
Sacrifice signature aggregation (making multi-party protocols impractical) Introduce unacceptable latency for real-time consensus Lack native Layer-1 integration paths
No production-ready solution exists today.
✅ What QLSA Does
QLSA is a novel signature protocol that combines lattice-based cryptography with layered threshold aggregation — enabling:
| Feature | QLSA | ECDSA | Naive PQC |
|---|---|---|---|
| Quantum-resistant | ✅ | ❌ | ✅ |
| Signature aggregation | ✅ | ✅ | ❌ |
| Threshold (t-of-n) | ✅ | Partial | ❌ |
| L1-compatible design | ✅ | ✅ | ❌ |
The core innovation: layered aggregation trees that compress n lattice-based signatures into a single constant-size proof, preserving threshold semantics.
Technical Overview Cryptographic foundation:
CRYSTALS-Dilithium (NIST PQC Round 3 winner) via liboqs Layered Merkle-style aggregation over lattice signatures Threshold scheme: any t of n signers can produce valid aggregate
Stack:
``` Python 3.11+ ├── liboqs-python # NIST PQC primitives ├── cryptography # Key management ├── hashlib / hmac # Merkle construction └── pytest # Test suite Architecture: qlsa/ ├── core/ │ ├── keygen.py # Dilithium keypair generation │ ├── sign.py # Individual signing │ ├── aggregate.py # Layered aggregation logic │ └── verify.py # Aggregate proof verification ├── threshold/ │ ├── coordinator.py # t-of-n orchestration │ └── shares.py # Secret sharing scheme ├── benchmarks/ # Performance profiling └── tests/ # Unit + integration ```
Roadmap Phase 0 — Research & Design
Literature review: NIST PQC finalists Protocol specification Architecture design
Phase 1 — Core Implementation (current)
Environment setup (liboqs, Python bindings) Key generation module Basic sign/verify pipeline Layered aggregation prototype
Phase 2 — Threshold Protocol
t-of-n coordinator Secret sharing integration Multi-party test vectors
Phase 3 — Benchmarks & Whitepaper
Performance vs ECDSA / Schnorr Formal security analysis Published whitepaper
Phase 4 — L1 Integration Prototype
EVM-compatible verifier contract Testnet deployment
Research Context QLSA builds on:
CRYSTALS-Dilithium — NIST FIPS 204 standard (2024) Boneh & Shacham threshold signature constructions STARK-based aggregation techniques adapted for lattice settings
This work is aligned with NIST’s Post-Quantum Cryptography Standardization initiative and addresses the “harvest now, decrypt later” threat model increasingly relevant to long-lived blockchain assets.
Why We’re Seeking AI Research Credits We’re using large language models as a force multiplier for:
Formal verification assistance — reasoning about security proofs Code review — catching subtle cryptographic implementation bugs Research synthesis — navigating NIST PQC literature efficiently Documentation — generating rigorous technical specifications
This is active, technical research — not a demo project.
Author Independent researcher focused on post-quantum blockchain infrastructure. Open to collaboration, feedback and research partnerships.
License MIT — open research, open future.
QLSA is pre-production research software. Do not use in production systems.