LayerZero Labs has introduced Aerie, a new research result developed with the a16z Crypto research team, Carnegie Mellon University, and Imperial College London, aimed at improving the aggregation efficiency of post-quantum cryptographic signatures. According to the announcement, Aerie is built on Akita, the lattice-based polynomial commitment scheme released earlier.
LayerZero said that on a MacBook Pro equipped with an Apple M4 Max chip, Aerie can aggregate 32,768 Falcon-512 signatures in 0.65 seconds using 16 CPU cores and no GPU acceleration, with peak memory usage of about 2.1 GiB. The company also compared Aerie with its earlier Orthus scheme, saying proof generation is about 1.5x faster, verification is 38x faster, and proof size is reduced by about 1.7x.
The research also supports aggregation for ML-DSA signatures standardized by the U.S. National Institute of Standards and Technology, or NIST. Specific performance data for ML-DSA has not yet been released. LayerZero said the work is intended to provide a technical path for low-latency, post-quantum-secure blockchain consensus without specialized hardware.
LayerZero Labs, working with the a16z Crypto research team, Carnegie Mellon University, and Imperial College London, has released a new research result called Aerie, aimed at improving the aggregation efficiency of post-quantum cryptographic signatures.
According to the announcement, Aerie is built on Akita, the lattice-based polynomial commitment scheme introduced earlier. On a MacBook Pro powered by an Apple M4 Max chip, the system can aggregate 32,768 Falcon-512 signatures in 0.65 seconds using 16 CPU cores and no GPU acceleration, with peak memory usage of about 2.1 GiB.
Aerie compared with Orthus
LayerZero said that, compared with the earlier Orthus scheme, Aerie delivers about 1.5x faster proof generation, 38x faster verification, and a roughly 1.7x smaller proof size.
Support for ML-DSA aggregation
Aerie also supports aggregation of ML-DSA signatures standardized by the U.S. National Institute of Standards and Technology, or NIST. Specific performance figures will be released later.
The research is intended to offer a technical path for blockchain systems seeking low-latency, post-quantum-secure consensus without specialized hardware.
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