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layer-2-wars-arbitrum-optimism-base-and-beyond
Blog

Groth16's Maturity is Its Greatest Weakness in a Rapidly Evolving Space

Groth16's early dominance, built on the BN254 curve, has become a trap. Its rigid, circuit-specific design locks protocols into outdated cryptography, hindering upgrades and ceding ground to flexible alternatives like Plonky2 and Halo2.

introduction
THE LEGACY TRAP

Introduction

Groth16's established trust and tooling are now liabilities in a space demanding agility and modularity.

Groth16 is a finished product in a field of rapid iteration. Its security is battle-tested, but its rigid, monolithic architecture cannot incorporate new cryptographic primitives like folding schemes or lookup arguments without a complete overhaul.

Trusted setup ceremonies are a governance bottleneck. Each new circuit requires a fresh, large-scale multi-party computation (MPC), a logistical and security burden that newer systems like Plonky2 and Halo2 circumvent with transparent or updatable setups.

The proving speed advantage is eroding. While Groth16 proofs are small and fast to verify, modern GPU and hardware acceleration for newer proving systems (e.g., Risc Zero's zkVM) is closing the performance gap for complex, general-purpose computation.

Evidence: Major L2s like zkSync Era and Polygon zkEVM chose Plonky2 and Halo2 variants, prioritizing developer flexibility and future-proofing over Groth16's raw verification efficiency.

key-insights
THE LEGACY BOTTLENECK

Executive Summary

Groth16's battle-tested security is now a structural liability, creating friction for modern applications demanding speed, flexibility, and interoperability.

01

The Trusted Setup is a Persistent Liability

Every new circuit requires a fresh, multi-party ceremony. This creates operational overhead and centralization risk for fast-moving teams. The ceremony for a simple DApp can take weeks, while competitors like Plonky2 and Halo2 offer universal, updatable setups.

  • Key Benefit 1: Eliminates perpetual ceremony management
  • Key Benefit 2: Enables rapid, trust-minimized circuit iteration
Weeks
Setup Time
1
Per Circuit
02

Recursive Proofs Are Prohibitively Expensive

Groth16 proofs cannot be efficiently verified within another SNARK, blocking native scalability. This makes ZK-rollups and privacy-preserving cross-chain bridges (like those using LayerZero) reliant on heavy off-chain aggregation, increasing latency and cost.

  • Key Benefit 1: Enables on-chain proof aggregation for ~10x cheaper finality
  • Key Benefit 2: Unlocks viable ZK-based L2s and L3s
~200k
Gas Cost
No
Recursion
03

Hardware Acceleration Hits a Wall

Its fixed-circuit architecture is poorly suited for GPU/FPGA proving acceleration. Modern frameworks like Nova and Plonk with folding schemes can dynamically batch proofs, achieving ~100x faster proving times on parallel hardware for complex applications.

  • Key Benefit 1: Unlocks sub-second proof generation for consumer apps
  • Key Benefit 2: Makes ZK-VMs (like zkEVMs) economically viable
~100x
Slower on GPU
Fixed
Architecture
04

Developer Experience is Antique

Writing circuits in low-level R1CS is akin to assembly programming. Modern frameworks like Circom (which uses Groth16) are being outpaced by Noir and Leo, which offer higher-level abstractions and target more agile proving backends like Marlin and Plonk.

  • Key Benefit 1: Cuts development time from months to weeks
  • Key Benefit 2: Attracts mainstream developers beyond crypto-native teams
R1CS
Constraint System
Low-Level
Abstraction
05

Interoperability is a Foreign Concept

Groth16 proofs are siloed verification artifacts. In a multi-chain ecosystem powered by intent-based architectures (like UniswapX and CowSwap) and cross-chain messaging (LayerZero, Axelar), proofs need to be portable and composable. Schemes with recursive aggregation enable proofs to be cheaply relayed and verified anywhere.

  • Key Benefit 1: Enables ZK proofs as universal trust primitives
  • Key Benefit 2: Fits natively into cross-chain settlement layers
Siloed
Verification
High
Relay Cost
06

The Economic Model is Broken for Scale

Proving cost scales linearly with circuit size, creating unsustainable economics for high-throughput applications. Folding schemes (Nova) and custom gates (Plonkish) achieve sub-linear cost growth, making ZK-proofs for large datasets (e.g., on-chain order books, DeFi risk engines) financially feasible.

  • Key Benefit 1: Enables ZK-proofs for TB-scale data
  • Key Benefit 2: Creates viable B2B SaaS models for ZK infra
O(n)
Cost Scaling
~$10+
Cost per TX
thesis-statement
THE TRADEOFF

The Core Argument: Optimization is a One-Way Street

Groth16's extreme specialization for a single circuit has created an architectural dead end in a multi-chain, multi-app ecosystem.

Groth16 is a single-circuit monolith. Its prover and verifier are cryptographically bound to one specific arithmetic circuit. Any logic change, from a simple parameter tweak in a rollup like zkSync to adding a new opcode, requires a complete trusted setup re-run, halting production.

This rigidity clashes with agile development. Modern L2s like Starknet and Polygon zkEVM iterate constantly. Groth16 forces a choice: freeze innovation for security or fork the protocol and fragment liquidity, a problem recursive proof systems like Plonky2 were built to solve.

The trust model becomes a bottleneck. Each new circuit needs a fresh Powers of Tau ceremony. This creates operational overhead and security theater, contrasting with transparent (STARKs) or universal (PLONK) setups that support infinite circuits after one initialization.

Evidence: No major, actively-evolving L1 or L2 uses Groth16 for its core VM. It's relegated to static applications like Zcash's transaction logic or Tornado Cash, where the circuit never changes. The market voted for adaptability.

GROTH16 VS. PLONKISH FAMILY

The Proving System Divide: Legacy vs. Modern

A feature and performance matrix comparing the established Groth16 proving system against modern alternatives like Plonk, Halo2, and Nova.

Feature / MetricGroth16 (Legacy)Plonk / Halo2 (Modern)Nova (Folding Schemes)

Universal Trusted Setup

Circuit-Specific Trusted Setup

Proof Recursion Support

Proof Aggregation Support

Proving Time (Typical)

~30 sec

~5-10 sec

~1-2 sec per step

Verification Gas Cost (EVM)

~200k gas

~400k gas

~50k gas (final proof)

Developer Flexibility

Low (fixed circuit)

High (custom gates)

High (incremental)

Primary Use Case

Static applications (Zcash)

General-purpose L2s (zkSync, Scroll)

Incremental proving (RISC Zero)

deep-dive
THE LEGACY BURDEN

The Technical Debt Trap: Why You Can't Just Upgrade

Groth16's widespread adoption has created a massive, inflexible codebase that prevents protocols from accessing modern ZKP innovations.

Groth16's ecosystem lock-in is absolute. Projects like Zcash and Tornado Cash are built on its specific trusted setup and proof structure. Upgrading the proving system requires a hard fork, a politically fraught and technically disruptive event most teams avoid.

Modern proving systems like Plonk/Halo2 offer recursion and universal trusted setups. This allows for zkRollup state transitions and private smart contracts that Groth16 cannot efficiently express. The cost of rewriting is prohibitive.

The performance trap is real. While Groth16 proofs are small, its circuit-specific setup means each new application needs a new ceremony. This creates operational overhead that newer, universal systems eliminate.

Evidence: Major L2s like zkSync (Boojum) and Polygon zkEVM chose Plonk/Halo2 variants. They prioritized developer flexibility and future-proofing over Groth16's marginal proof-size advantage.

case-study
THE LEGACY CURVE

Case Study: The BN254 Anchor

Groth16's reliance on the BN254 elliptic curve, a 2015 standard, creates a critical drag on innovation despite its battle-tested security.

01

The Problem: Hardware Obsolescence

BN254's 256-bit scalar field is not optimized for modern hardware. Proving systems like Plonky2 and Halo2 use Goldilocks (64-bit) or BN254's twin (BLS12-381) for native 64/32-bit integer arithmetic, enabling ~10-100x faster proving on consumer CPUs and GPUs. Groth16 is stuck emulating 256-bit math, a massive performance tax.

~100x
Slower Proving
2015
Curve Era
02

The Solution: Recursive Proof Aggregation

Projects like zkSync Era and Scroll use Groth16 for its small proof size at the base layer but immediately wrap proofs in a STARK or Halo2 recursion layer. This creates a hybrid stack: BN254 for final on-chain verification, modern curves for scalable proving. It's a bridge, not a destination.

Hybrid
Stack Design
~500ms
Recursion Overhead
03

The Problem: Ecosystem Fragmentation

BN254's dominance in early projects like Zcash and Aztec 1.0 created a $1B+ ecosystem of trusted setups and tooling. New curves (BLS12-381, Grumpkin) require new trusted setups and break interoperability, creating multi-chain friction for cross-zk-rollup bridges and shared liquidity pools.

$1B+
Locked Ecosystem
High
Switching Cost
04

The Entity: Ethereum's EIP-196 & EIP-197

Ethereum's precompiled contracts for BN254 pairing (at addresses 0x8) are its ultimate anchor. Moving to a new curve requires a hard fork. This institutionalizes BN254, forcing innovation to work around it via recursion (see Polygon zkEVM) or accept ~1M gas verification penalties for software implementations.

0x8
Precompile Address
~1M Gas
Software Cost
05

The Solution: Curve-Agnostic VMs

Virtual machines like SP1 and Jolt are proving-system agnostic. They compile high-level code (Rust) to constraints, which can then be targeted to any proof backend (Groth16, Plonk, STARK). This abstracts the curve away, allowing the underlying cryptography to evolve without breaking application logic.

Agnostic
VM Design
Rust
Frontend
06

The Verdict: A Secure Bottleneck

BN254 is the TCP/IP of zk-SNARKs—ubiquitous, secure, and slow to change. Its maturity provides stability for $10B+ in TVL but acts as a drag coefficient on performance and interoperability. The future is multi-curve, with BN254 relegated to a high-security, slow-speed settlement layer within recursive proof stacks.

$10B+
Secured TVL
Settlement
Future Role
counter-argument
THE PERFORMANCE ANCHOR

The Steelman: Groth16 is Still the Fastest (For Now)

Groth16's unmatched prover speed and succinct proofs remain the gold standard for high-throughput, on-chain applications.

Groth16's prover speed is unmatched for circuits of its era. Its single pairing verification and minimal proof size (3 elliptic curve points) create the lowest on-chain gas costs. This efficiency is why ZK-Rollups like Loopring and zkSync 1.0 built their initial scaling on it.

Its maturity is a double-edged sword. A decade of cryptanalysis has hardened Groth16's security, but its inflexible trusted setup per circuit is a fatal flaw. Projects like Aztec and Polygon zkEVM migrated to Plonk/KZG for this reason.

The performance lead is narrowing. Modern KZG-based schemes (Plonk, Halo2) offer comparable verification gas after EIP-4844 blob integration. Groth16's advantage now exists only in niche, static applications where a one-time trusted setup is acceptable.

takeaways
STRATEGIC IMPERATIVES

Takeaways: The Path Forward

Groth16's technical debt is now a strategic liability. The path forward requires a pragmatic, multi-pronged approach.

01

The Problem: The Trusted Setup Ceremony is a Persistent Attack Vector

Every Groth16 circuit requires a one-time, universal trusted setup. This creates a permanent, non-upgradable cryptographic backdoor. The ceremony's security decays over time as computing power advances, putting $10B+ in DeFi TVL at long-tail risk.

  • Ceremony compromise is catastrophic and silent
  • No post-quantum security roadmap
  • Creates legal and audit complexity for institutions
1
Single Point of Failure
Permanent
Security Debt
02

The Solution: Aggressively Migrate to Transparent & Post-Quantum Proof Systems

Adopt proof systems like Plonky2, Halo2, and Nova that eliminate trusted setups. These provide transparent (publicly verifiable) security and a path to post-quantum resilience via STARKs or lattice-based cryptography.

  • Enables continuous, trustless circuit upgrades
  • Future-proofs against quantum adversaries
  • Reduces legal overhead for institutional adoption
0
Trusted Setup
Quantum-Safe
Roadmap
03

The Problem: Prover Performance is a Bottleneck for Mass Adoption

Groth16's ~10-100ms prover times are insufficient for high-frequency applications (e.g., order-matching, gaming). Its non-recursive nature forces expensive on-chain aggregation, creating a ~$5-50 cost floor per proof verification that scales linearly with usage.

  • Blocks real-time, user-facing dApps
  • Prohibitive cost structure for micro-transactions
  • Cannot efficiently prove state across multiple blocks
~100ms
Prover Latency
Linear
Cost Scaling
04

The Solution: Embrace Recursion & GPU/ASIC Prover Markets

Deploy recursive proof systems (e.g., Plonky2, Nova) to aggregate thousands of transactions into a single on-chain proof. Foster competitive specialized prover networks (GPU, FPGA, ASIC) to drive costs toward <$0.01 per proof and enable sub-second finality.

  • Enables scalable L2s and privacy-preserving rollups
  • Creates a commodity market for proving power
  • Unlocks high-throughput DeFi and gaming primitives
<$0.01
Target Cost
Sub-Second
Finality
05

The Problem: Developer Experience is Abysmal and Fragmented

Groth16's tooling (circom, snarkjs) is arcane, requiring deep cryptographic knowledge. The circuit-writing process is error-prone and lacks standard libraries, creating months of audit overhead and stifling innovation. This fragmentation mirrors the early Solidity ecosystem but with higher stakes.

  • Massive barrier to entry for application developers
  • High incidence of critical circuit bugs
  • No interoperability between different proof backends
Months
Dev/Audit Cycle
High Risk
Circuit Bugs
06

The Solution: Standardize on High-Level Frameworks & Formal Verification

Build on frameworks like Noir (Aztec) and Circom's higher-level successors that abstract cryptographic complexity. Integrate formal verification tools (e.g., Picus, Ecne) directly into the dev pipeline to mathematically guarantee circuit correctness from day one.

  • Enables 10x faster developer iteration
  • Eliminates entire classes of cryptographic bugs
  • Creates portable circuits across multiple proving backends
10x
Faster Iteration
Formally Verified
By Default
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Groth16's Maturity is Its Greatest Weakness in 2024 | ChainScore Blog