Briefing

The core research problem addressed is the lack of a concretely efficient Polynomial Commitment Scheme (PCS) that is also secure against quantum adversaries, a critical bottleneck for future-proof zero-knowledge proofs. The paper introduces Greyhound , the first PCS built from standard lattice assumptions to achieve concrete efficiency, utilizing a simple sigma protocol for polynomial evaluation that, when composed with a prior proof system, yields a succinct proof with sublinear verifier runtime. This new cryptographic primitive immediately enables the construction of practical, post-quantum secure zk-SNARKs, fundamentally securing the scalability layer of blockchain architecture against the long-term threat of quantum computing.

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Context

Prior to this work, most widely adopted and highly efficient PCS constructions, such as KZG, relied on pairings from elliptic curve cryptography, which are vulnerable to quantum attacks. Earlier lattice-based PCS existed, yet they suffered from impractical proof sizes and slow verification times, limiting their utility as a drop-in replacement for large-scale blockchain applications like data availability sampling or verifiable rollups. This created a theoretical gap between cryptographic efficiency and post-quantum security.

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Analysis

Greyhound’s core mechanism is rooted in a novel application of a three-round Sigma protocol over lattices to prove polynomial evaluations. This protocol is then transformed into a non-interactive, succinct argument by applying the Fiat-Shamir heuristic and composing it with the LaBRADOR proof system. The key conceptual difference lies in moving the security foundation from number-theoretic assumptions to the algebraic structure of lattices, such as the Module-SIS problem, which is believed to be quantum-resistant. This shift preserves the crucial succinctness property → where the proof size is polylogarithmic in the committed data size → while simultaneously achieving practical, competitive performance metrics.

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Parameters

  • Proof Size Reduction → 8000X smaller than a recent lattice-based construction, demonstrating a massive leap in concrete efficiency for post-quantum schemes.
  • Verifier Runtime → Sublinear, meaning the verification time scales much slower than the size of the committed data, which is essential for stateless clients.
  • Post-Quantum Security BasisStandard Lattice Assumptions (e.g. Module-SIS), providing security against known quantum algorithms.
  • Polynomial Degree Support → Up to $N=2^{30}$, confirming support for extremely large-scale computation and data sets.

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Outlook

The introduction of a concretely efficient, post-quantum PCS immediately opens new avenues for deploying quantum-resistant zero-knowledge rollups and private computation protocols. Future research will likely focus on integrating Greyhound into existing zk-SNARK compilers and exploring its homomorphic properties for recursive proof composition, which is necessary to achieve true, infinite blockchain scalability within a post-quantum security model over the next three to five years.

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Verdict

Greyhound represents a foundational cryptographic breakthrough that bridges the critical gap between zero-knowledge proof efficiency and long-term post-quantum security for decentralized systems.

lattice cryptography, post-quantum security, polynomial commitment scheme, zero-knowledge proofs, succinct arguments, verifiable computation, zk-SNARKs, sublinear verification, cryptographic primitive, proof size reduction, quantum resistance, decentralized systems, cryptographic efficiency, post-quantum blockchain, lattice assumptions, secure computation, proof system composition, algebraic geometry, cryptographic protocols, commitment scheme Signal Acquired from → iacr.org

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polynomial commitment scheme

Definition ∞ A polynomial commitment scheme is a cryptographic primitive that allows a prover to commit to a polynomial in a way that later permits opening the commitment at specific points, proving the polynomial's evaluation at those points without revealing the entire polynomial.

cryptographic efficiency

Definition ∞ Cryptographic efficiency describes the computational resources, such as time and memory, required to perform cryptographic operations.

sigma protocol

Definition ∞ A Sigma Protocol is a class of interactive zero-knowledge proofs that allows one party to demonstrate knowledge of a secret to another party without revealing the secret itself.

proof size reduction

Definition ∞ Proof size reduction refers to cryptographic techniques that decrease the amount of data required to verify a transaction or computation on a blockchain.

verifier runtime

Definition ∞ Verifier runtime refers to the computational resources, primarily time and processing power, required for a system to confirm the validity of a cryptographic proof or transaction.

standard lattice assumptions

Definition ∞ Standard Lattice Assumptions are mathematical hypotheses forming the basis for a class of cryptographic algorithms known as lattice-based cryptography.

computation

Definition ∞ Computation refers to the process of performing calculations and executing algorithms, often utilizing specialized hardware or software.

post-quantum security

Definition ∞ Post-Quantum Security refers to cryptographic algorithms and systems designed to withstand attacks from quantum computers.

decentralized systems

Definition ∞ Decentralized Systems are networks or applications that operate without a single point of control or failure, distributing authority and data across multiple participants.