a16z crypto said on Sept. 9 that it has released Lattice Jolt, a new open-source version of its zero-knowledge virtual machine that shifts its cryptographic foundation from elliptic curves to lattice cryptography. The change gives the system post-quantum resistance and, according to a16z crypto, improves prover and verifier speeds by 2x to 3x. The team also said proof sizes are now below 100KB, which it described as the smallest among post-quantum zkVMs.
Lattice Jolt uses a new polynomial commitment scheme called Akita, built on the Module-SIS hard lattice assumption with a target security level of 128 bits. Akita was led by LayerZero’s research and engineering team in collaboration with Carnegie Mellon University, the University of Southern California, and a16z crypto. On performance, the project said the system can prove more than 2 million RISC-V cycles per second on CPU on the same device, and more than 10 million cycles on a MacBook with GPU acceleration through Apple Metal. Memory use for the prover was reduced from about 300 bytes per cycle to 200 bytes per cycle, enabling proofs for millions of computation cycles on phones.
a16z crypto said on Sept. 9 that it has released Lattice Jolt, a new open-source version of its zero-knowledge virtual machine.
The new version replaces elliptic-curve cryptography with lattice cryptography at the base layer, giving the system post-quantum resistance. a16z crypto also said the change lifts prover and verifier speeds by 2x to 3x. Proof size is now below 100KB, which the firm described as the smallest proof among post-quantum zkVMs.
Lattice Jolt uses a new polynomial commitment scheme called Akita, which is built on the Module-SIS hard lattice assumption and targets 128-bit security. Akita was led by LayerZero’s research and engineering team, working with Carnegie Mellon University, the University of Southern California, and the a16z crypto team.
On performance, Lattice Jolt can prove more than 2 million RISC-V cycles per second on CPU on the same device. With GPU acceleration through Apple Metal, it can exceed 10 million cycles on a MacBook. The prover’s memory usage was also reduced from about 300 bytes per cycle to 200 bytes per cycle, which allows proofs for millions of computation cycles on phones.
The project said zero-knowledge functionality will be added in a later paper.
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