Technology Deep-Dive

Vectorized post-quantum cryptography, high-frequency Proof of History, and Rust smart contracts on a modern Java 25 foundation.

Post-Quantum Cryptography

Dynamis is built from the ground up with quantum-resistant cryptography using NIST-approved algorithms. We've implemented hardware-accelerated, vectorized versions for production-grade performance.

"Sarasate's Bow" — Vectorized Dilithium-3

Our custom Dilithium-3 implementation uses Java's Panama FFM (Foreign Function & Memory API) to call native C libraries with SIMD vectorization. Named after the virtuoso violinist, it achieves concert-level performance.

NIST FIPS 204

14,625 verifications/sec

Panama FFM native acceleration with SIMD vectorization for NTT operations.

Quantum-Safe

ML-DSA Level 3

NIST standardized digital signature algorithm, resistant to Shor's algorithm attacks.

"The Aerotech" — Vectorized BLAKE3

Our BLAKE3 implementation uses Panama FFM to call native libraries compiled with AVX-512 support, achieving throughput that's 5-7x faster than Java's built-in SHA-256.

High Throughput

~2,000 MB/s

Native BLAKE3 via Panama FFM, enabling high-frequency PoH at minimal CPU overhead.

Streaming

Tree-Based

BLAKE3's tree structure enables parallel hashing and incremental updates.

ML-KEM-768 (Kyber) — Key Encapsulation

For encrypted swaps and confidential transactions, we use ML-KEM-768 via Bouncy Castle's JCA provider with hardware acceleration where available.

Operation Performance Implementation
Key Encapsulation ~14,969 ops/sec Bouncy Castle JCA
Dilithium-3 Verify ~14,625 ops/sec Panama FFM Native
BLAKE3 Hashing ~2,000 MB/s Panama FFM Native
AES-256-GCM ~15,000 ops/sec Hardware AES-NI

Proof of History

Dynamis uses Proof of History — a cryptographic clock that provides deterministic ordering for all network events with nanosecond-resolution timestamps. Unlike Solana's VDF-style PoH, Dynamis uses discrete time ticks at a fixed frequency.

How It Works

// Discrete PoH tick (every 1ms) public void tick() { sequence++; currentHash = blake3(currentHash + sequence); } // Transactions carry nanosecond timestamps transaction.pohSequence = 1,234,567; transaction.timestamp = System.nanoTime(); // Nanosecond precision!

Key Characteristics

Parameter Value
Tick Rate 1,000 Hz (discrete)
Timestamp Precision Nanosecond
Block Time ~2 seconds (slots)
Hash Algorithm BLAKE3 (vectorized)
Checkpoint Interval Every 1,000 ticks

Nanosecond Precision Use Cases

DeFi

No-Snipe Auctions

Exact nanosecond endings eliminate "who bid first?" disputes.

Yield

Precise APY Calculation

Nanosecond-accurate yield accrual for staking and lending.

vs. Solana's VDF PoH

Solana's PoH is a Verifiable Delay Function — validators race to compute sequential hashes as fast as possible to "prove" elapsed time. Dynamis instead uses a fixed-frequency scheduler at 1000 Hz, combined with nanosecond timestamps for ordering within each tick.

Smart Contracts

Write contracts in Rust, compile to WebAssembly, and execute on a pure-Java WASM runtime (Chicory). This hybrid architecture combines Rust's safety with Java's enterprise ecosystem.

Why Rust + WASM?

// Rust smart contract example #![no_std] use dynamis_std::*; #[dynamis::contract] mod counter { pub fn increment() { let count = storage_get("count"); storage_set("count", count + 1); log("Counter incremented!"); } }

Host Functions

Storage

Read/write persistent state with storage_get and storage_set.

PoH Timestamp

Get current PoH sequence for verifiable time ordering.

Cryptography

BLAKE3 hashing, signature verification, address validation.

Events

Emit events for off-chain indexers and frontend updates.

Architecture

Dynamis runs on a modern Java 25 foundation (with Panama FFM for native crypto) using Quarkus for reactive, cloud-native deployment.

Component Technology
Runtime Java 25 (Panama FFM + Virtual Threads)
Framework Quarkus 3.30.1
WASM Runtime Chicory (Pure Java)
Database PostgreSQL (Reactive)
Networking HTTP/2, WebSockets, QUIC (experimental)
Deployment Docker, Kubernetes, any cloud