The BSC network recently executed a critical test of its quantum-resistant upgrade, successfully validating the cryptographic shift while exposing severe performance constraints. The existing ECDSA algorithm utilizing the secp256k1 curve, though computationally efficient, presents a theoretical vulnerability to sufficiently powerful quantum computers capable of attacking the mathematical foundations of elliptic curve schemes. To mitigate this, the upgrade replaces the legacy standard with ML-DSA-44, a lattice-based scheme standardized under NIST FIPS 204. This transition maintains backward compatibility for existing addresses, RPCs, SDKs, and wallets, effectively removing the migration costs that have historically rendered cryptographic upgrades prohibitive for live networks.

However, the successful cryptographic validation comes at a steep operational price, as the network now contends with a 40% reduction in transactions per second.

Data compiled by Woofun AI indicates that the primary driver of this performance degradation is the exponential growth in data payload size. Public key dimensions have expanded 20x, rising from 64 bytes to 1,312 bytes, while signature sizes have surged 37x, jumping from 65 bytes to 2,420 bytes. Since every transaction carries a single signature, this metric represents the dominant burden on the system. The resulting block size has increased approximately 18x, expanding from roughly 130 KB to approximately 2 MB. This massive expansion is not merely a storage issue but a direct cause of the throughput collapse, as the enlarged blocks trigger cross-region propagation delays too slow to sustain current network speeds.

A distinct divergence exists between the transaction layer and the consensus layer regarding efficiency. While the transaction layer struggles with per-unit bloat, the consensus layer demonstrates robust optimization under the new scheme. The system has moved consensus vote aggregation from BLS aggregate signatures to pqSTARK, where a single proof covers all validator signatures. This aggregated proof size grew only 3.5x, moving from 96 bytes to approximately 340 bytes. Consequently, the upgrade's efficiency problem is concentrated entirely at the per-transaction level rather than the network's coordination layer, proving that the cryptographic layer has been solved while the propagation layer remains a critical failure point.

Woofun AI notes that the current 40% TPS decline renders the design non-deployable for a network competing on speed and cost. The operational endpoint of this causal chain begins with the 37x signature size increase, produces an 18x block size expansion, and culminates in propagation latency that throttles throughput. The remaining engineering challenge is singular: reduce per-transaction signature overhead without compromising quantum resistance. Backward compatibility ensures no user migration is required, yet it does not eliminate the throughput penalty that will determine whether this architecture reaches production. If subsequent tests show a cross-region TPS decline below 15% with ML-DSA-44 intact, the upgrade approaches viability; however, if the gap remains above 30% after further optimization, the data-layer scaling problem will necessitate a fundamental architectural change beyond simple compression or caching.