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Glossary

ZK-EVM

A ZK-EVM is a virtual machine that executes EVM-compatible transactions and generates cryptographic proofs of their validity, forming the core of ZK-rollups.
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definition
BLOCKCHAIN SCALING

What is ZK-EVM?

A ZK-EVM (Zero-Knowledge Ethereum Virtual Machine) is a virtual machine that executes Ethereum smart contracts and generates cryptographic proofs of the correctness of that execution, enabling trustless scaling.

A ZK-EVM (Zero-Knowledge Ethereum Virtual Machine) is a virtual machine compatible with the Ethereum Virtual Machine (EVM) that produces zero-knowledge proofs (ZKPs) to cryptographically verify the correctness of transaction execution. This allows a third party, such as a Layer 1 (L1) blockchain like Ethereum, to trust the state transitions of a separate Layer 2 (L2) rollup without re-executing all the transactions. The core innovation is that it maintains EVM equivalence or compatibility, meaning existing Ethereum smart contracts, developer tools, and wallets can operate with minimal changes, while leveraging the immense scalability benefits of ZK-rollup technology.

The primary function of a ZK-EVM is to generate a succinct proof, often called a validity proof or ZK-SNARK, that attests to the integrity of a batch of L2 transactions. This proof is then posted to the Ethereum mainnet, where a verifier contract can cheaply and quickly confirm its validity. This process ensures that the L2's state root—the cryptographic commitment to all account balances and contract data—is correct and has been updated honestly. This security model, known as validium or zkRollup depending on data availability, is what makes ZK-EVMs a foundational technology for Ethereum scaling.

Different ZK-EVM implementations exist on a spectrum of compatibility with the standard EVM. A Type 1 ZK-EVM (fully equivalent) strives for perfect compatibility but is complex to build, while a Type 4 ZK-EVM compiles high-level Solidity code directly to a ZK-friendly circuit, offering higher performance at the cost of some tooling divergence. Prominent examples include zkSync Era, Polygon zkEVM, Scroll, and Starknet (which uses a Cairo VM but offers EVM compatibility through a compiler). Each makes distinct trade-offs between proof generation speed, cost, and developer experience.

For developers, the appeal of ZK-EVMs lies in the ability to deploy existing Solidity or Vyper contracts with little to no modification, accessing a scaling solution with Ethereum-level security derived from cryptographic proofs. For users, it translates to significantly lower transaction fees and higher throughput while maintaining the security guarantees of the Ethereum base layer. The ongoing development focuses on improving prover efficiency—the computational cost of generating proofs—and achieving full bytecode-level equivalence to make the scaling solution virtually indistinguishable from Ethereum mainnet for all applications.

etymology
TERM BACKGROUND

Etymology & Origin

The term ZK-EVM is a compound acronym that fuses two foundational concepts in modern cryptography and blockchain architecture: Zero-Knowledge proofs and the Ethereum Virtual Machine. Its origin story is deeply intertwined with the scaling challenges of the Ethereum network and the quest for a specific type of blockchain interoperability.

The ZK component stands for Zero-Knowledge, a cryptographic method where one party (the prover) can prove to another (the verifier) that a statement is true without revealing any information beyond the validity of the statement itself. This concept, formalized in the 1980s, became a cornerstone for privacy and scalability in blockchains. The EVM component is the Ethereum Virtual Machine, the global, sandboxed runtime environment that executes smart contract code and defines the state transition rules for the Ethereum network. It is the standard computational engine for Ethereum and its ecosystem.

The fusion into ZK-EVM emerged around 2018-2020 as a proposed solution to Ethereum's scalability trilemma. Developers sought to create Layer 2 scaling solutions that could process transactions off-chain but inherit Ethereum's security. The key innovation was building a virtual machine, compatible with the EVM's opcodes and state format, whose execution could be proven correct using a ZK-SNARK or ZK-STARK proof. This proof, a small cryptographic blob, could then be verified on the Ethereum mainnet, ensuring the off-chain execution was valid without re-executing every instruction.

The term's etymology reflects a specific technical goal: EVM-equivalence. Early implementations, often called zkRollups, aimed for varying levels of compatibility. A Type 1 ZK-EVM strives to be fully equivalent to Ethereum itself, while Type 4 ZK-EVM compiles high-level Solidity code directly into a ZK-circuit-friendly format. The naming convention (Types 1 through 4) was popularized by Vitalik Buterin in a 2022 blog post, providing a framework to categorize projects like Polygon zkEVM, zkSync Era, Scroll, and Taiko based on their architectural trade-offs between compatibility, performance, and development speed.

key-features
ZK-EVM

Key Features

A Zero-Knowledge Ethereum Virtual Machine (ZK-EVM) is a virtual machine that executes Ethereum transactions and generates cryptographic proofs of their correctness. Its core features enable Layer 2 scaling while maintaining Ethereum's security guarantees.

03

State Transition Integrity

The guarantee that the new state root posted to Ethereum L1 is the correct and only possible result of executing the proven batch of transactions. The ZK proof cryptographically enforces that:

  • All transactions had valid signatures.
  • All smart contract logic was followed correctly.
  • No double-spends occurred.
  • The final state root is the precise output of applying the transactions to the previous state. This makes the rollup's state transitions cryptographically verifiable, inheriting Ethereum's security for data availability and settlement.
04

Fast Finality & Throughput

ZK-EVMs decouple transaction execution from Ethereum's consensus, enabling high throughput. Transactions are processed and proven off-chain in batches. Finality is achieved in two stages:

  1. Soft Finality: Near-instant confirmation within the ZK-rollup network.
  2. Hard Finality: Occurs when the validity proof is verified and the state root is updated on Ethereum L1 (typically within minutes). This architecture allows for thousands of transactions per second (TPS) off-chain, with only a tiny proof and state delta needing L1 settlement, drastically reducing gas costs per transaction.
05

Proof System Architecture

The underlying cryptographic framework and circuit design that defines the ZK-EVM. Key architectural choices include:

  • Proof System: zk-SNARKs (e.g., Groth16, PLONK) or zk-STARKs, each with trade-offs in proof size, verification speed, and trust assumptions.
  • Circuit Design: How the EVM's logic is translated into arithmetic circuits for the prover. This includes handling opcodes, memory, storage, and hashing.
  • Recursive Proofs: The ability to aggregate multiple proofs into a single proof, enabling infinite scalability and efficient bridging between L2s.
06

Developer Experience (DevX)

The ease with which Ethereum developers can build on a ZK-EVM. High-quality ZK-EVMs prioritize a seamless experience by supporting:

  • Standard Tooling: Compatibility with Hardhat, Foundry, Truffle, and MetaMask.
  • RPC Endpoints: Standard JSON-RPC interface for deploying and interacting with contracts.
  • Block Explorers: Familiar explorers to inspect transactions and contracts.
  • Bridging Infrastructure: Secure and fast bridges for asset transfer between L1 and L2. This minimizes the learning curve and allows developers to deploy existing dApps with minimal changes.
how-it-works
TECHNICAL DEEP DIVE

How a ZK-EVM Works

A Zero-Knowledge Ethereum Virtual Machine (ZK-EVM) is a core component of Layer 2 scaling solutions that enables the generation of cryptographic proofs for the correct execution of Ethereum smart contracts, allowing for secure and verifiable off-chain computation.

A ZK-EVM is a specialized virtual machine that executes smart contracts in a manner fully compatible with the Ethereum Virtual Machine (EVM) but produces a cryptographic proof, called a zero-knowledge proof (often a ZK-SNARK or ZK-STARK), attesting to the validity of the execution. This proof, known as a validity proof, is small and can be verified on the Ethereum mainnet in a fraction of the time and cost it would take to re-execute the transactions. The core innovation is that it proves computational integrity—the chain of transactions and state changes happened correctly according to EVM rules—without revealing the underlying data of every transaction.

The operational workflow involves several key stages. First, a sequencer or prover node batches hundreds of transactions and executes them within the ZK-EVM environment off-chain. This execution generates a new state root and, critically, a trace of the computation. This execution trace is fed into a proof system, which performs complex cryptographic operations to generate a succinct proof. This single proof is then posted to a verifier contract on Ethereum Layer 1, which confirms its validity almost instantly. If the proof is valid, the new state root is accepted, finalizing all transactions in the batch with the same security guarantees as Ethereum.

Achieving EVM equivalence is a major technical challenge, graded on a spectrum from language compatibility to full bytecode-level equivalence. Different ZK-EVM implementations make different trade-offs between performance and compatibility. For instance, some may modify EVM opcodes to be more ZK-friendly (e.g., replacing Keccak hashing with Poseidon), while others aim for perfect compatibility at the cost of slower proof generation. This design impacts developer experience, as a fully equivalent ZK-EVM allows existing Ethereum tools and smart contracts to deploy without modification.

The primary use case for a ZK-EVM is powering ZK-Rollups, a class of Layer 2 scaling solutions. By bundling transactions and submitting only a proof and minimal data to Ethereum, ZK-Rollups dramatically increase throughput and reduce fees while inheriting Ethereum's security. Beyond scaling, the technology enables novel applications like private transactions on a public chain—by generating a proof of a valid state transition from encrypted inputs—and sovereign rollups, where settlement and data availability are separated from the execution and proving layer.

VITALIK'S FRAMEWORK

ZK-EVM Type Classification

A comparison of the four primary types of ZK-EVMs, based on their level of equivalence to the Ethereum mainnet and their underlying architecture.

Architectural FeatureType 1 (Fully Equivalent)Type 2 (EVM Equivalent)Type 3 (EVM Compatible)Type 4 (Language Compatible)

Ethereum State Root

EVM Opcode Equivalence

Partial (some modified)

Development Environment

Mainnet Geth

Mainnet Geth

Slightly modified Geth

Custom compiler (e.g., zkASM)

Proving Time

10 min

~5 min

< 1 min

< 1 sec

Developer Friction

None

Very Low

Low (requires audits)

High (requires rewrites)

Example

Taiko

Polygon zkEVM, Scroll

zkSync Era Legacy

zkSync Era, Starknet

examples
PROTOCOL EXAMPLES

ZK-EVM Implementations

ZK-EVMs are categorized by their design philosophy, balancing compatibility with the Ethereum Virtual Machine against performance and decentralization. These examples illustrate the primary approaches in the ecosystem.

06

Key Architectural Trade-offs

Choosing a ZK-EVM type involves navigating core trade-offs between three pillars:

  • Compatibility: How seamlessly existing Ethereum tooling and contracts work.
  • Performance: The speed and cost of generating validity proofs.
  • Decentralization: The ability for many participants to run provers (prover decentralization).

Type 1 & 2 prioritize compatibility, often at the cost of prover performance. Type 4 maximizes performance but requires more development adaptation. Most projects evolve along this spectrum to find an optimal balance.

ecosystem-usage
ZK-EVM

Ecosystem Impact & Usage

ZK-EVMs are not just a scaling technology; they are a foundational shift enabling new trust models, developer experiences, and economic structures across the blockchain ecosystem.

01

Developer Experience & Portability

A ZK-EVM's primary impact is enabling Ethereum equivalence, allowing developers to deploy existing smart contracts and tools (like MetaMask, Hardhat) with minimal to no modifications. This creates a seamless portability for dApps, fostering rapid ecosystem growth by lowering the barrier to entry for developers already familiar with the EVM.

  • Example: Polygon zkEVM and Scroll allow developers to fork and redeploy popular protocols like Uniswap or Aave directly from Ethereum mainnet.
02

Trustless Bridging & Interoperability

By generating cryptographic proofs of state transitions, ZK-EVMs enable trust-minimized bridges between Layer 1 and Layer 2. Unlike optimistic rollups with long challenge periods, ZK-rollup bridges can allow users to withdraw funds almost immediately after a proof is verified on Ethereum, significantly improving capital efficiency and security for cross-chain assets.

  • Key Mechanism: A validity proof submitted to Ethereum L1 acts as a cryptographic guarantee for all transactions in a batch.
03

Modular Stack & Specialization

ZK-EVMs are a core execution component in the modular blockchain paradigm. They decouple execution (handled by the ZK-EVM) from consensus and data availability (often handled by Ethereum or a separate chain). This allows for specialized chains (app-chains or Layer 3s) that can optimize for specific use cases like gaming or high-frequency trading while inheriting Ethereum's security via proofs.

04

Privacy-Enhancing Applications

While not inherently private, the architecture of ZK-EVMs is a natural fit for integrating zero-knowledge proofs at the application layer. This enables new privacy-preserving dApps, such as confidential DeFi transactions or private voting systems, where the public chain verifies the correctness of private state changes without revealing the underlying data.

05

Economic & Security Model Shift

ZK-EVMs shift the economic model of Layer 2s. Costs are dominated by proof generation (off-chain compute) and proof verification (on-chain gas). This creates a market for specialized provers and incentivizes efficiency improvements in proof systems. Security is cryptographically enforced, moving from the fraud-proof and social slashing model of optimistic rollups to a validity-proof model.

06

Types & Trade-offs (ZK-EVM Spectrum)

Different ZK-EVM implementations make distinct trade-offs between compatibility, performance, and proof generation time, impacting their adoption and use cases.

  • Type 1 (Fully Equivalent): Perfectly matches Ethereum (e.g., experimental). High proof times, maximal compatibility.
  • Type 2 (EVM-Equivalent): Matches Ethereum state & bytecode (e.g., Scroll). Excellent for developers.
  • Type 3 (EVM-Compatible): Minor modifications for faster proofs (e.g., early zkSync).
  • Type 4 (High-Level Language): Compiles from Solidity but uses different VM (e.g., zkSync Era). Fastest proofs.
security-considerations
ZK-EVM

Security Model & Considerations

A ZK-EVM (Zero-Knowledge Ethereum Virtual Machine) is a virtual machine that executes Ethereum transactions and generates cryptographic proofs of their correctness. Its security model is anchored in the soundness of the underlying zero-knowledge proof system and the integrity of its state transition logic.

01

Proof Soundness

The foundational security guarantee of a ZK-EVM is proof soundness. This cryptographic property ensures it is computationally infeasible to generate a valid zero-knowledge proof for an incorrect state transition. The security reduces to the hardness of mathematical problems like elliptic curve discrete logarithms. A breach here would allow invalid blocks to be finalized.

02

Trusted Setup Requirements

Many ZK proof systems require a trusted setup ceremony to generate critical public parameters. This process involves multiple parties destroying secret material; if compromised, false proofs could be created. Some modern systems like STARKs are transparent and do not require this trust assumption, offering a stronger security model.

03

EVM Equivalence & Audits

Security depends on the ZK-EVM's faithful emulation of the Ethereum protocol. Deviations create re-auditing burdens and risk consensus failures. Levels range from bytecode-equivalent (highest security, audits reusable) to language-equivalent (requires new audit). The circuit logic implementing opcodes is a critical attack surface.

04

Data Availability & Fraud Proofs

In ZK-Rollup architectures, security requires guaranteed data availability of transaction data on Ethereum L1. Without it, users cannot reconstruct state or detect censorship. Pure ZK systems do not use fraud proofs for validity, but may use them as a fallback for data availability challenges, creating a hybrid security model.

05

Prover Centralization Risks

The computational cost of proof generation can lead to prover centralization, creating a few trusted operators. This introduces liveness risks and potential censorship. Proof decentralization via permissionless proving networks is an active area of research to mitigate this and align with Ethereum's credibly neutral ethos.

06

Upgradeability & Governance

ZK-EVMs are complex, frequently upgraded systems. Security depends on a transparent, slow governance process for upgrades, especially to the verifier contract on L1. A malicious upgrade could steal funds or halt the chain. Timelocks, multi-sigs, and eventual decentralization are key mitigations.

ZK-EVM

Common Misconceptions

Zero-Knowledge Ethereum Virtual Machines (ZK-EVMs) are a cornerstone of Ethereum scaling, but are often misunderstood. This section clarifies the technical realities behind common myths.

No, a ZK-EVM is a specific execution environment, while a ZK-Rollup is a scaling architecture that uses one. A ZK-EVM is the engine that processes smart contracts and generates zero-knowledge proofs (ZKPs) of their execution. A ZK-Rollup is the complete Layer 2 network that bundles transactions, uses a ZK-EVM to create a validity proof, and posts that proof to Ethereum's Layer 1 for final settlement. Think of the ZK-EVM as the prover software and the ZK-Rollup as the entire system (sequencer, prover, verifier contract, data availability layer).

ZK-EVM

Frequently Asked Questions

Zero-Knowledge Ethereum Virtual Machines (ZK-EVMs) are a core scaling technology that uses cryptographic proofs to verify transaction execution. This section answers common developer questions about their architecture, trade-offs, and implementation.

A ZK-EVM (Zero-Knowledge Ethereum Virtual Machine) is a virtual machine that executes Ethereum smart contracts and generates a cryptographic proof (a ZK-SNARK or ZK-STARK) attesting to the correctness of that execution. It works by processing transactions in a specialized prover, which outputs a succinct proof that can be verified on Ethereum's Layer 1 in a fraction of the time and cost it took to compute. This allows for secure, trust-minimized scaling by moving computation off-chain while maintaining the security guarantees of Ethereum's base layer through cryptographic verification.

Key components include:

  • Prover: The off-chain system that executes transactions and generates the validity proof.
  • Verifier: A smart contract on L1 that checks the proof's validity.
  • State Transition: The ZK-EVM proves that the new state root is the correct result of applying a batch of transactions to the old state.
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ZK-EVM: Zero-Knowledge Ethereum Virtual Machine | ChainScore Glossary