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zk-rollups-the-endgame-for-scaling
Blog

Why SNARKs Are Doomed Without Major Cryptographic Advances

The current generation of SNARKs, powering zkEVMs like zkSync and Scroll, is built on fragile, pre-quantum foundations. Their reliance on trusted setups and pairing-based cryptography is a systemic risk. Long-term survival demands convergence with STARK-like transparency and lattice-based security.

introduction
THE CRYPTOGRAPHIC WALL

Introduction

SNARKs are hitting fundamental scaling limits that threaten their viability for mainstream blockchain adoption.

SNARKs face a scalability wall. The core issue is prover time, which grows super-linearly with computation size. This makes generating proofs for large-scale applications like a full zkEVM rollup (e.g., zkSync Era, Scroll) computationally prohibitive for most nodes.

Trusted setups are a systemic risk. Every major SNARK system, from Groth16 to Plonky2, requires a one-time trusted ceremony. While projects like Aztec and Zcash have executed these, the model introduces persistent security assumptions and operational complexity that contradict crypto's trust-minimization ethos.

Recursive proof composition is the only viable path. To scale, SNARKs must prove other SNARKs, creating a proof-of-proofs chain. This is the architecture behind StarkNet's fractal scaling and Polygon zkEVM's recursive validity proofs, but it demands exponential cryptographic innovation.

Evidence: A single Ethereum block's proof generation on a zk-rollup can take minutes on specialized hardware, while the network must settle in seconds. This latency-proving gap is the primary bottleneck for zkEVMs.

thesis-statement
THE CRYPTOGRAPHIC WALL

Thesis Statement

SNARKs, the bedrock of modern zero-knowledge proofs, face an existential scaling crisis that demands new cryptographic primitives, not just engineering.

SNARKs hit a wall. Their security and performance rely on a limited set of elliptic curve pairings and collision-resistant hash functions. The trusted setup ceremony for universal systems like Groth16 is a recurring single point of failure, creating systemic risk for protocols like Aztec and Zcash.

Recursive proof composition is a temporary fix, not a solution. Projects like zkSync and Scroll use it to batch proofs, but it merely shifts the final verification bottleneck. The underlying proving time and memory overhead grows polynomially with circuit complexity.

Quantum vulnerability is a deadline. The discrete logarithm problem, which secures curves like BN254 used by Ethereum's EIP-197, is broken by Shor's algorithm. Post-quantum SNARKs, like those based on lattices or hashes, remain impractical due to proof sizes measured in megabytes.

Evidence: A single zkEVM proof on Scroll requires ~3.5 million constraints and 5+ minutes to generate on consumer hardware. This proving asymmetry makes decentralized prover networks economically non-viable for high-throughput applications.

THE SCALING BOTTLENECK

Cryptographic Debt: A Comparative Snapshot

Comparing the fundamental cryptographic primitives that underpin modern ZK-Rollups, highlighting the unsolved bottlenecks that threaten long-term viability.

Cryptographic Primitive / MetricSNARKs (Groth16, Plonk)STARKsVector Commitments (e.g., KZG)

Prover Time Complexity

O(n log n)

O(n log² n)

O(n)

Verifier Time Complexity

O(1) (Constant)

O(log² n) (Poly-log)

O(1) (Constant)

Trusted Setup Required

Post-Quantum Secure

Recursive Proof Composition

Complex (Cycle of Curves)

Native

Not Applicable

Proof Size (for 1M tx)

~200 KB

~100-200 KB

~50 KB (but requires SNARK/STARK)

Key Cryptographic Assumption

Elliptic Curve Pairings

Collision-Resistant Hashes

Elliptic Curve Pairings

deep-dive
THE CRYPTOGRAPHIC BOTTLENECK

The Convergence Imperative: From SNARKs to STARKS-NARKs

SNARKs' reliance on trusted setups and elliptic curve cryptography creates an unsustainable scaling and security ceiling.

SNARKs require trusted setups. Every major zk-rollup (zkSync, Scroll, Polygon zkEVM) depends on a one-time ceremony, creating a persistent security assumption and operational risk that contradicts blockchain's trust-minimization ethos.

Elliptic curves are a finite resource. Current SNARKs (Groth16, Plonk) use pairing-friendly curves like BN254. These curves have a cryptographic shelf-life; future quantum advances will break them, dooming any system without a post-quantum migration path.

STARKs eliminate trusted setups using hash-based cryptography (e.g., SHA-3). Projects like StarkWare and Polygon Miden leverage this for long-term security, but their proofs are larger and slower to verify, creating a throughput bottleneck.

The future is hybrid proofs. A STARK-NARK architecture uses a STARK to prove the execution trace, then a SNARK to compress that proof for efficient verification. This combines STARK's trustlessness with SNARK's verification efficiency.

Evidence: The RISC Zero zkVM implements this model, generating a STARK proof which is then wrapped in a Groth16 SNARK, demonstrating the practical convergence path for production systems.

counter-argument
THE PERFORMANCE TRAP

Counter-Argument: "But It Works Today"

Current SNARK performance is a mirage, built on unsustainable cryptographic assumptions and hardware over-optimization.

Today's performance is illusory. Provers like zkEVMs (e.g., Polygon zkEVM, Scroll) achieve sub-second proofs only by offloading trust to centralized prover networks and using pre-processed trusted setups, which reintroduce the trust models SNARKs were meant to eliminate.

The hardware dependency is terminal. Proving times for complex circuits collapse without specialized hardware like FPGAs and GPUs. This creates a centralizing force, moving trust from miners to a few prover-as-a-service operators like Espresso Systems or proprietary hardware vendors.

Cryptographic fragility is ignored. The dominant PLONK and Groth16 proof systems rely on elliptic curve pairings and trusted setups. A single cryptanalytic breakthrough against the BN254 or BLS12-381 curves invalidates the security of billions in locked value across zkSync Era, Starknet, and Aztec.

Evidence: The scaling cliff. A zkRollup proving a simple Uniswap swap takes seconds and dollars. Proving a full block of generalized smart contract interactions, as envisioned for mass adoption, increases proof generation time exponentially, not linearly. The current stack does not survive contact with real-world, heterogeneous transaction loads.

takeaways
THE SCALING BOTTLENECK

TL;DR for CTOs and Architects

SNARKs are the bedrock of modern ZK-rollups, but their current cryptographic foundations are insufficient for global-scale adoption.

01

The Prover Wall: Exponential Overhead

Generating a proof is computationally explosive. Scaling from 1M to 10M transactions isn't 10x harder; it's 100x+ harder in prover time and cost. This makes real-time settlement for high-throughput chains like Solana impossible with today's SNARKs.

  • Key Constraint: Prover time grows super-linearly with circuit size.
  • Real Impact: Limits ZK-rollups to ~100 TPS before costs become prohibitive.
100x+
Cost Growth
~100 TPS
Practical Limit
02

Trusted Setup Ceremonies: A Systemic Risk

Most production SNARKs (Groth16, Plonk) require a one-time trusted setup. While ceremonies like Perpetual Powers of Tau mitigate risk, they introduce complexity and a lingering, unquantifiable trust assumption for $10B+ in secured assets. New chains cannot bootstrap this trust easily.

  • Key Constraint: Centralized point of failure for system security.
  • Real Impact: Hinders permissionless innovation and requires massive coordination overhead.
$10B+
TVL at Risk
1
Single Point
03

The Recursive Proof Frontier

The only viable path forward is recursive SNARKs (e.g., Nova, Plonky2), where proofs verify other proofs. This allows incremental computation and parallelization. However, recursion today adds ~20% overhead per layer and requires novel folding schemes (like Nova's IVC) that are still being battle-tested.

  • Key Solution: Enables proof aggregation and parallel proving.
  • Real Impact: Theoretically unbounded scaling, but practical implementations are nascent.
-20%
Per-Layer Overhead
Unbounded
Theoretical Scale
04

Hardware Is Not a Silver Bullet

Throwing GPUs (CUDA) or ASICs at the problem only linearizes a small part of the exponential curve. zkVM architectures (like RISC Zero) face inherent bottlenecks in witness generation and constraint system management. Hardware accelerates, but doesn't solve, the underlying algorithmic complexity.

  • Key Constraint: Amdahl's Law: you can only speed up the parallelizable portion.
  • Real Impact: 10-50x speedups are possible, but costs remain orders of magnitude too high for mass adoption.
10-50x
Speedup Cap
$$$
High Cost
05

The Endgame: Transparent & Post-Quantum

Long-term survival requires moving to STARKs (transparent, no trusted setup) and post-quantum secure constructions. STARKs (via Polygon Miden, Starknet) trade larger proof sizes for better scalability curves. Lattice-based SNARKs (like Ligero++) are in research but are 1000x slower today.

  • Key Solution: Eliminates trusted setup and quantum risk.
  • Real Impact: ~100 KB proof sizes vs. ~1 KB for SNARKs, a tradeoff for long-term security.
100 KB
STARK Proof Size
1000x
PQ Slowdown
06

Actionable Architecture Playbook

  1. For L2s: Design for recursive proof aggregation from day one. Use Plonk/KZG for now, but have a migration path to STARKs.
  2. For Apps: Batch user operations into single proofs; leverage shared provers like Espresso Systems.
  3. For VCs: Bet on teams solving recursive proving (e.g., Ingonyama, Ulvetanna) and hardware/algorithm co-design.
  • Key Directive: Decouple settlement latency from proof generation time.
Recursive
First Design
Batch
User Ops
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