Quip Network launches quantum randomness for smart contracts

Ethereum smart contracts face a fundamental challenge: generating truly random numbers within a deterministic system. Quip Network is addressing this with QVRF, a new method delivering randomness sourced from quantum hardware and secured by a verifiable audit trail.

Each number ships with a transcript allowing users to re-run the measurement process and confirm its origin, which is important given that “a proposer can skip a block to stop the value updating,” according to EIP-4399, potentially influencing high-value payouts. Unlike existing solutions reliant on secret keys or elliptic-curve math vulnerable to future quantum computers, QVRF grounds its unpredictability in physical measurement and transparent verification.

Quantum Verifiable Random Function: QVRF Process and Security

Quantum Echoes, a recent mint on Ethereum, is the first live application using randomness generated by Quip Network’s Quantum Verifiable Random Function, or QVRF, a system designed to address the limitations of existing smart contract randomness solutions. Unlike hardware random number generators, which can pass statistical tests for uniformity, QVRF provides a verifiable link to a quantum source, preventing the selective handover of pre-determined outputs.

This distinction is critical because statistical tests alone cannot confirm the randomness originated from a quantum process. QVRF operates on Quip Network’s second subnet, employing gate-based quantum computers to perform random circuit sampling, and delivers results through a familiar request-and-callback pattern already used by existing randomness oracles, the company says. A key difference from standard VRFs, which rely on the secrecy of private keys and the difficulty of elliptic-curve math, is that QVRF provides a complete transcript of the quantum measurement process.

This allows users to independently verify the origin and integrity of the random number after it is delivered, a feature absent in systems vulnerable to future quantum computers capable of breaking elliptic-curve cryptography. “You get entropy from a quantum measurement and a hash-based record of where it came from,” states the Quip Network documentation.

QVRF is also engineered for cross-chain compatibility, using the same payment mechanism as QuipSwap to facilitate access to randomness across multiple blockchain networks, reducing vendor lock-in and expanding potential applications. Access to the QVRF system is currently available through a request process at quip.network/qvrf, with detailed developer documentation also provided. The system is intended for applications where the randomness source may be questioned at a later date, such as mints, lotteries, allocations and key generation.

Smart Contract Randomness: Comparing QVRF to Existing Methods

Ethereum’s reliance on beacon-chain randomness introduces a subtle but significant vulnerability; EIP-4399 details how a proposer can skip a block, introducing a single bit of influence over the ostensibly random value used in smart contracts, a level of control acceptable for casual applications but problematic for high-value outcomes. Chainlink VRF, a widely used alternative, secures its randomness through elliptic-curve cryptography, a method that, like exposed private keys, faces obsolescence from sufficiently powerful, error-corrected quantum computers.

Quip Network’s QVRF offers a distinct approach, deriving randomness from quantum measurements and providing a verifiable record of its origin, bypassing the cryptographic assumptions of traditional VRFs, according to the company. While a four-epoch-ahead read of Ethereum’s PREVRANDAO may suffice for low-stakes games, QVRF targets applications where auditability and resistance to manipulation are paramount, such as mints, lotteries and key generation, offering a different risk profile for developers.

Stay current

See today’s quantum computing news on Quantum Zeitgeist for the latest breakthroughs in qubits, hardware, algorithms, and industry deals.

Avatar of Ivy Delaney

Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

Latest Posts by Ivy Delaney: