NovaNet Quantum Blockchain Glossary
This glossary provides definitions for key concepts, technologies, and cryptographic methods used in NovaNet, a Quantum Blockchain integrating AI, Quantum Cryptography, and advanced consensus mechanisms. This document serves as a reference for developers, researchers, and contributors.
- Delegated Proof-of-Stake (DPoS) – A blockchain consensus mechanism where stakeholders vote for a small number of validators to process transactions on their behalf.
- Quantum Delegated Proof-of-Stake (Q-DPoS) – An enhanced DPoS model integrating Quantum Randomness (QRNGs) and AI-driven fairness scaling for decentralized validator selection.
- Quantum Random Number Generator (QRNG) – A quantum system that generates true randomness, ensuring fair and unpredictable validator selection.
- Quantum Entangled Validator Pool (QEVP) – A validator pool where nodes exist in quantum superposition until selected, ensuring instantaneous, unbiased validator assignment.
- Sybil Attack Resistance – A mechanism that prevents an entity from controlling multiple validator nodes to manipulate the blockchain.
- Stake Weighting – The process of selecting validators based on staked tokens to align economic incentives with network security.
- Quantum-Assisted Virtual Machine (QAVM) – A high-speed execution environment that uses Quantum Dot Processors (QD-PUs) and AI acceleration for smart contract processing.
- Quantum Dot Processing Unit (QD-PU) – A quantum-inspired hardware accelerator that enables parallel execution of smart contracts and cryptographic computations.
- AI-Optimized Smart Contract Execution – AI models that predict, precompile, and optimize smart contract execution paths.
- Gasless Transactions – A blockchain transaction model that eliminates gas fees by leveraging AI and quantum-assisted execution.
- Parallel Quantum Execution – A method where multiple smart contracts run simultaneously, improving execution speed and reducing computational overhead.
- Zero-Knowledge Proofs (ZKPs) – A cryptographic method allowing verification of information without revealing the actual data.
- Quantum-Assisted ZK-Proof Acceleration (QD-ZKA) – Quantum computing techniques that speed up the computation and verification of Zero-Knowledge Proofs.
- Quantum Hash Compression (QHC) – A cryptographic method optimizing blockchain storage by compressing hashes using quantum probability states.
- Post-Quantum Cryptography (PQC) – Encryption techniques that are resistant to quantum decryption attacks.
- Quantum-Secure KYC NFTs – A self-sovereign identity model, where identity verification is encrypted using quantum-resistant cryptographic proofs.
- AI-Enhanced Fraud Detection – AI models that detect malicious transactions and smart contract vulnerabilities in real time.
- Quantum Unified Consensus (QUC) – A hybrid consensus model integrating quantum randomness, AI, and economic incentives to achieve faster and more secure block validation.
- Quantum Entangled Ledger (QEL) – A distributed ledger where blocks exist in an entangled quantum state until finalized, ensuring instant chain synchronization.
- ZK-Rollups – A Layer-2 scaling solution that batches multiple transactions into a single cryptographic proof to reduce network congestion.
- Quantum-Assisted ZK-Rollups – A quantum-enhanced version of ZK-Rollups, accelerating proof generation and reducing storage overhead.
- Data Sharding with Quantum State Compression – A technique where data is split into multiple quantum states, ensuring efficient storage and retrieval.
- Quantum Hashing for Transaction Integrity – A method using quantum-resistant cryptographic hash functions to ensure immutability and prevent data tampering.
- Observer Nodes – Read-only nodes that provide API access to blockchain data without participating in consensus.
- Execution Nodes (QAVM Nodes) – Nodes responsible for running smart contracts and optimizing computations using quantum accelerators.
- NOVA Token – The native cryptocurrency of NovaNet, used for staking, governance, and validator rewards.
- Quantum-Driven Staking Rewards – A staking model where rewards are dynamically adjusted using AI and quantum probability weighting.
- Governance Voting via Quantum Random Selection – A governance model where delegates are randomly assigned voting power using QRNGs.
- AI-Regulated Economic Incentives – A machine-learning model that adjusts validator rewards and staking penalties based on network conditions and decentralization metrics.
- Self-Sovereign Identity (SSI) with Quantum-Secure Verification – A model where users control their digital identity through quantum-secured KYC NFTs.
- Quantum-Informed Market Predictions for DeFi – AI-driven models that analyze quantum probability states to provide optimized predictions for DeFi applications.
- Quantum Dot Computing for Blockchain Execution – The integration of Quantum Dot Processors (QD-PUs) to enable high-speed cryptographic calculations.
- Quantum-Secure Hardware Nodes – Blockchain nodes that leverage quantum computing to perform validator duties and smart contract execution.
- Phased Transition to Quantum Computing – NovaNet’s four-stage migration plan from traditional blockchain execution to full quantum blockchain operations.
- Hybrid Classical-Quantum Nodes – A transitional model where classical computers interact with quantum nodes, ensuring gradual adoption.
- Quantum-Assisted Machine Learning for Blockchain Optimization – AI models trained using quantum-enhanced datasets to optimize transaction routing, gas fee estimation, and validator selection.
This GitHub Wiki is maintained by the NovaNet community. Contributors can:
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- Help document technical implementations for developers and researchers.
For contributions, submit changes via GitHub Issues or Pull Requests.
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