I previously learned about Bitcoin and Ethereum, and I have a general understanding of their corresponding blockchain technology architectures. However, when I recently encountered Q, some new concepts such as VDF, KZG, and others that I had not heard of in the previous crypto technology stack appeared. Therefore, I had to learn about these things. With the help of GPT, I roughly understood their roles and had GPT write a simple demo for me to better comprehend.
// Pseudocode for a VDF depending on a KZG proof for a simple Bitcoin mining operation
// Step 1: Simulate a basic Bitcoin mining operation (hashing of a block header)
blockHeader = "Block header data"
blockHash = SHA256(blockHeader) // Simplified hash function for illustration
// Step 2: Generate a KZG proof for the block hash
kzgProof = KZG_GenerateProof(blockHash)
// Step 3: Slow down the computation using a VDF
function VDF(input, delay) {
result = input
// Simulate a delay by performing hash iterations
for i = 0 to delay {
result = SHA256(result) // Hash iteration for delay simulation
}
return result
}
// Step 4: Apply the VDF to the block hash using KZG proof
vdfResult = VDF(blockHash, 1000) // Simulating a delay of 1000 hash iterations
// Step 5: Verify the VDF result using the KZG proof
isValid = KZG_VerifyProof(kzgProof, vdfResult)
// Output the VDF result and verification status
output(vdfResult) // The delayed result of the Bitcoin block hash
output(isValid) // Should be true if the VDF computation is correct
I am currently confused about the following:
- In the application of quilibrium, what kind of computation is VDF performing? Is it similar to performing some meaningless hash computations? If so, where does the meaning in the proof of meaningful work come into play?
- Is there a relationship between KZG and VDF verification? Furthermore, is KZG verification similar in function to ZKP verification?