Technical Architecture

Technology

A clean-sheet redesign built on NIST-standardized Post-Quantum Cryptography, unified memory optimization, and mandatory privacy infrastructure.

Cryptographic Substrate

Post-Quantum Primitives

The Po8 Network transitions from elliptic curve geometry to high-dimensional lattice geometry. Security relies on the Module-Learning With Errors (MLWE) problem—exponentially hard for both classical and quantum computers.

Primitive Algorithm Security Level Purpose
Key Encapsulation ML-KEM-768 (Kyber) NIST Level 3 (AES-192) Encrypted node-to-node sessions, hybridized with X25519
Digital Signature ML-DSA-65 (Dilithium) NIST Level 3 Transactions, validator votes, governance actions
Fallback Root SLH-DSA (SPHINCS+) Hash-based Governance escape hatch if lattices fall

Hybrid Session Keys

K_session = HKDF(ECDH(X25519) || Decaps(Kyber)). Implicit rejection prevents timing leaks and blinds chosen-ciphertext probes. If either stack is compromised, the other maintains security.

Node Architecture

Rust Implementation

The po8-core repository is engineered in Rust for memory safety and concurrency. Each crate maps to a specific responsibility.

po8-consensus

Forked CometBFT with ML-DSA verification paths. 60-second block time allows for Mixnet delay and cover traffic. Instant finality for DeFi composability.

po8-vm

revm-based EVM execution with the Quantum Abstraction Layer (QAL). Addresses derived from SHA3-256 of ML-DSA public keys, truncated to 20 bytes.

po8-crypto

FFI bindings to liboqs exposing Kyber/Dilithium operations. All polynomial operations stay in the NTT domain to prevent O(n²) DoS vectors.

tensor-miner

Apple Neural Engine client using MLX APIs. Generates and multiplies 8192×8192 INT8 matrices directly in unified memory.

EVM Integration

Native Precompiles

Heavy PQC operations are exposed to the EVM runtime via precompiled contracts, allowing Solidity developers to treat post-quantum cryptography as first-class citizens.

0x20
ML_KEM_DECAPS

Enables on-chain key exchange between contracts or rollups.

0x21
ML_DSA_VERIFY

Validates lattice signatures from ERC-4337 smart accounts or bridges.

0x22
NTT_MUL

Accelerates polynomial multiplication for Halo2/zkRollup circuits.

Interoperability

Quantum Abstraction Layer

Smart Account Flow

  • Addresses are SHA3-256 of ML-DSA public keys, truncated to 20 bytes
  • Every user account is an ERC-4337 smart account with custom validateUserOp logic
  • Bundlers verify ML-DSA signatures via precompiles before submitting to the EVM
  • Dilithium signatures (~3.3 KB) are segregated SegWit-style to keep execution paths lean

Execution Flow

Inside the EVM, contracts receive familiar msg.sender values. Existing Solidity applications (Uniswap, Aave, etc.) deploy without code changes.

contract QuantumBridge {
  function bridge() external {
    IERC20(token).transferFrom(
      msg.sender, vault, amount
    );
  }
}
Consensus

TensorChain & InferNet

The Batch-1 Efficiency Gap

Industrial GPUs collapse in efficiency when forced to process single inference requests. Consumer NPUs are optimized for low-latency, single-batch inference—exactly the workload of TensorChain.

Nvidia H100 (Batch 1)
15+ Joules/Token

Massive overhead from kernel launches, PCIe synchronization, and static power draw.

Apple M2 Ultra (Batch 1)
~11 Joules/Token

Unified Memory Architecture allows direct access without copying. Optimized for latency.

Matrix Puzzle Mechanics

  1. Seed Derivation: Miner takes previous block hash and nonce to derive seed σ
  2. Matrix Generation: CSPRNG generates two matrices A and B, sized to target 75% of system RAM
  3. Compute: Calculate noisy product C' = (A+E)·(B+F) in INT8, saturating tensor cores
  4. Verification: Freivalds' algorithm verifies in O(n²) instead of O(n³)—instant verification of heavy NPU work
Monetary Policy

Usage-Based Dynamic Issuance

The economics layer closes the loop around the hardware. A PID-style controller adjusts issuance based on how much NPU compute and bandwidth users actually buy, turning PO8 into a resource credit rather than a purely speculative asset.

ΔS_t = I_t − B_t
I_t = I_base × (1 + K_p e(t) + K_i ∫ e(t) dt + K_d d/dt e(t))

e(t) = U_target − U_actual, where utilization measures purchased TensorChain, InferNet, and Mixnet capacity.

Issuance Channel

  • I_base guarantees validator liveness and a baseline of Mixnet cover traffic
  • When utilization is low, issuance temporarily increases to keep edge hardware online
  • When utilization is high, issuance decays and miners are paid primarily from fees

Burn & Saturation

  • Base ledger fees are fully burned to price PQC-heavy block space
  • Protocol takes on inference and transport fees are partially burned
  • Stake saturation caps rewards per validator, forcing large holders to back many physical nodes