Aerie aggregates roughly 32,768 post-quantum Falcon-512 signatures in 0.65 seconds on an Apple M4 Max laptop CPU, according to a research release shared by Justin Thaler on October 16, 2026. This performance achieves a compression rate that reduces signature sizes to approximately 42,1 bytes each, offering a potential cryptographic defense for Proof-of-Stake blockchains facing future quantum computing threats.
Post-Quantum Signature Compression Challenges
Proof-of-Stake networks like Ethereum rely on digital validator signatures to confirm their participation in the network. Ethereum currently utilizes BLS signatures, which group validator sign-offs into a single consolidated cryptographic proof per slot to minimize data overhead. However, BLS signatures depend on elliptic curve cryptography, a mathematical framework that theoretical quantum computers can break.
To prepare for this vulnerability, researchers are exploring post-quantum signature schemes such as Falcon. A standard Falcon-512 signature occupies about 666 bytes, far larger than the 64 bytes required by current BLS signatures. Without an efficient aggregation method, processing thousands of these larger signatures directly on-chain would congest bandwidth and dramatically increase the hardware costs of running a network node.
Lattice-Based SNARKs in Aerie
Aerie solves this size constraint by combining Falcon signatures with a lattice-based zero-knowledge proof system. Justin Thaler explained on X that this architecture diverges from purely hash-based verification models like Ethereum’s leanVM. Hash-based verification requires calculating hundreds of individual hash functions, which creates heavy computational overhead inside zero-knowledge proofs.
1/ Today we’re releasing Aerie: fast post-quantum signature aggregation, using lattice-based SNARKs for lattice-based Falcon signatures. On a laptop (CPU only), it aggregates roughly a full Ethereum slot’s worth of signatures (32,768) in 0.65 seconds.
Falcon signature verification demands fewer hash computations, allowing Aerie to check algebraic requirements directly using a short salt appended to each signature. Developed in collaboration with LayerZero Labs and hosted on GitHub, the system achieves a significant drop in data weight. For Falcon-512, Aerie records about 42,1 bytes per aggregated signature. When processing Falcon-1024 parameters, the system aggregates 16,384 signatures in 0.63 seconds, shrinking the total footprint by 29 times.
Performance Comparisons and Hardware Tradeoffs
Benchmark tests show Aerie operating roughly 29 times faster than leanVM in specific consensus scenarios, and 1.5 times faster in proving time than Orthus, a previous Falcon signature aggregator. Despite these computational gains, the system introduces notable hardware demands. The prover must hold every signature of an active batch in memory simultaneously, peaking at 2.1 GiB of RAM for a 32,768-signature batch. Furthermore, Aerie’s proofs do not currently support recursive merging, which restricts asynchronous multi-machine signature collection across distributed network environments.
Frequently Asked Questions
Why do blockchain networks need post-quantum signatures?
Current cryptographic algorithms rely on elliptic curves that will become insecure once sufficiently powerful quantum computers are built. Adopting post-quantum schemes like Falcon protects validator transactions against decryption by quantum hardware.
How much memory does Aerie require to process a full Ethereum slot?
Aerie requires a peak memory allocation of 2.1 GiB to process a batch of 32,768 signatures on a laptop CPU, according to the research documentation released in October 2026.
Where is the source code for Aerie hosted?
The code is hosted publicly on GitHub as a collaborative project involving Justin Thaler and LayerZero Labs.
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