The threat perception has increased multifold after Google published a paper on Monday which found that breaking bitcoin’s cryptographic defenses would require fewer than 500,000 physical qubits, roughly a 20-fold reduction from prior estimates

Note, however, that Postquant Labs’ testnet is a testing environment, not a live, final product. It’s where researchers experiment before anything goes into production.

The testnet has been built in consultation with D-Wave Quantum Inc, a leader in quantum computing systems, software, and services.

“From a technical perspective, the hybrid design of the testnet is particularly interesting. Participants can contribute using QPUs, CPUs and GPUs, creating a shared environment to evaluate how different compute models perform side by side,” Dr. Trevor Lanting, chief development officer, D-Wave, told CoinDesk.

“This creates an environment to help better understand how quantum approaches compare with classical methods in a blockchain setting, and where they may provide meaningful benefits such as improved energy efficiency or security,” he added.

Developers and researchers can earn QUIP tokens by solving complex mathematical problems using quantum machines, GPUs or regular CPUs. QUIP is meant to be a utility token that can be exchanged for computation resources provided by quantum and classical miners on the network.

If quantum computers can actually outperform regular computers on blockchain tasks — solving problems faster, using less energy, and delivering better results — then distributed ledger could become way more useful for real business applications, not just crypto trading.

“Today, annealing quantum computers are starting to show performance advantages on useful optimization applications across logistics, manufacturing, and beyond, often delivering better results, faster, and at lower energy cost than classical-only solutions,” said Colton Dillion, CEO and co-founder of Postquant Labs.

“Our goal is to make this quantum advantage accessible across a blockchain network,” Dillion added.

As of now, that’s a big “if.” This testnet needs to prove whether the quantum advantage is real or just marketing.

“Mainnet launch will depend entirely on the performance of testnet, but we are eager to launch as soon as we have proven the capabilities of the network to solve real-world problems, and shown quantum demand and supply both exist on either side of the market,” Postquant Labs told CoinDesk.

Do quantum computers exist?

Yes, they do, but not the sci-fi version that breaks Bitcoin and other blockchains or hacks into banks and major financial institutions.

D-Wave’s machines are not the quantum computers in Google’s paper. They are annealing systems, specialized hardware for optimization problems like route planning and resource allocation.

They cannot run Shor’s algorithm, cannot break encryption, and cannot do anything the Google paper describes. They are good at one specific class of problem, and that is the class Quip.Network is testing.

Postquant is using D-Wave’s Advantage2 annealing quantum computer through the company’s Leap cloud service.

In early internal tests, Postquant says D-Wave’s Advantage2 system beat out 80 H100 GPUs and 480 CPU cores on solution quality, time-to-solution, and energy efficiency for these specific optimization problems.

Those results have not been independently verified or published. Until they are, the claim is the company’s alone.

What role does D-Wave play?

D-Wave is not a full partner or investor. and has only advised Quip Network on the development of the testnet” and is “providing access to the Advantage2 system and consultation on the development of the testnet.”

Importantly, D-Wave has not independently endorsed the overall technical architecture — their involvement is limited to providing hardware access and consultation.

More For You

Encryption Supremacy - Zcash and Privacy in the Age of Scale

Most crypto privacy models weaken as blockchain data grows. Encryption-based models like Zcash strengthen. CoinDesk Research maps the five privacy approaches and examines the widening gap.

Why it matters:

As blockchain adoption scales, the metadata available to machine learning models scales with it. Obfuscation-based privacy approaches are structurally degrading as a result. This report provides a comprehensive comparison of all five major crypto privacy architectures and a framework for evaluating which models remain durable as AI capabilities improve.

More For You

Bear. (geralt/Pixabay

Bitcoin and ether fell sharply alongside global risk assets after escalating tension in Iran drove oil higher, while derivatives data shows traders positioning for further downside.

What to know:

  • Crypto fell after renewed geopolitical tensions pushed oil up by 10% and weighed on equities, strengthening the dollar and driving a broader risk-off move.
  • Funding rates turned deeply negative and open interest rose, indicating traders are actively shorting BTC and ETH; liquidations hit nearly $400 million.
  • Despite the drop, implied…

About the Author

Leave a Reply

Your email address will not be published. Required fields are marked *

Related Stories