Advantage2 Computer Solves Proof-of-Work Faster Than Rivals
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A superconducting quantum computer is now actively mining an experimental cryptocurrency called Quip, marking the first experiment of its kind and demonstrating a potential path toward dramatically reducing the energy demands of digital currencies. Colton Dillion at Postquant Labs and his colleagues initiated the Quip blockchain network in April, establishing a decentralized system where conventional computers and the D-Wave Advantage2 quantum processing unit compete to solve complex optimization problems, tasks mirroring real-world challenges like optimizing delivery schedules or building investment portfolios. While the Advantage2 computer competes on about one-third of the network’s blocks, it wins 92 percent of them, suggesting a clear advantage for the quantum machine. “The problem is hard enough to provide a real challenge for classical devices, but not so hard that it goes beyond the capabilities of both classical and quantum devices,” says Carlos Perez-Delgado at the University of Kent in the UK, who is not involved with the Quip project.
Quip Blockchain Network Mines Cryptocurrency with Quantum Hardware Unlike most blockchains where computers compete to add blocks to the ledger, Quip’s calculation focuses on optimization problems, specifically determining optimal solutions for logistical tasks like delivery scheduling or portfolio assembly. D-Wave CEO Alan Baratz highlighted during a presentation on June 1st that Advantage2 is currently allocated only five minutes daily to Quip, yet still demonstrates substantial efficiency gains. Preliminary data indicates that Advantage2 consumes around 12.5 watts to win a block, a dramatic reduction from the 100 watts required by conventional computers, with estimates suggesting a comparable classical machine would need 300 times that power. Beyond efficiency, Quip is designed with inherent security against attacks from advanced quantum computers, a feature lacking in many existing blockchains. Dillion envisions Quip evolving into a globally distributed quantum computer, democratizing access to this powerful technology by connecting diverse quantum systems and fostering competition to solve complex problems. The problem is hard enough to provide a real challenge for classical devices, but not so hard that it goes into the realm of impossibility for both classical and quantum devices. Advantage2 Quantum Processor Outperforms Classical Computers The emergence of practical quantum computing applications is steadily shifting from theoretical possibility to demonstrable results, with recent experiments showcasing performance advantages in specific computational tasks. This setup isn’t merely a proof-of-concept; it’s a functioning network where the Advantage2 unit actively competes with conventional computers to validate transactions and earn rewards. According to Colton Dillion, the Advantage2 processor currently participates in securing roughly one-third of the blocks added to the Quip ledger, yet achieves a 92 percent win rate on those blocks. This suggests a clear performance edge for the quantum machine when tackling Quip’s specifically designed proof-of-work problem, which centers on optimization challenges mirroring real-world scenarios like delivery scheduling and portfolio assembly. Beyond speed, D-Wave CEO Alan Baratz highlighted that Advantage2 demonstrates significant energy efficiency; preliminary data suggests the processor consumes approximately 12.5 watts to win a block, while conventional computers consume 100 watts. This efficiency is particularly noteworthy given the energy-intensive nature of traditional cryptocurrency mining, which often relies on vast server farms. He estimates that a conventional computer capable of winning blocks more often against Advantage2 would need 300 times its power. It’s exactly why it is a blockchain. People who don’t believe our results can join the network and try it for themselves. D-Wave System Achieves 100x Energy Reduction in Proof-of-Work The network’s proof-of-work calculations aren’t focused on securing financial transactions in the traditional sense; instead, they center on optimization problems mirroring real-world logistical challenges, such as efficiently scheduling deliveries for a food service or constructing an optimal investment portfolio. This unconventional approach allows for a direct comparison of energy efficiency between quantum and classical computation. Dillion reports that utilizing Advantage2 requires approximately 12.5 watts instead of 100 watts. He further estimates that a conventional computer capable of winning blocks more often against Advantage2 would need 300 times its power. D-Wave CEO Alan Baratz emphasized, “For me, quantum computing is energy-efficient computing for solving hard computational problems,” suggesting a future where quantum processors could redefine the sustainability of computationally intensive tasks. For me, quantum computing is energy-efficient computing for solving hard computational problems. Scalability Challenges & Future of Distributed Quantum Computing This ambitious goal hinges on connecting diverse quantum processors, allowing them to compete in solving complex problems, mirroring the current dynamic between D-Wave’s Advantage2 and conventional machines within the Quip network. Dillion explains this potential, stating the network “could become a worldwide distributed quantum computer,” democratizing access to currently scarce and expensive technology. However, scaling such a network presents significant hurdles, particularly regarding economic viability. Olivier Ezratty at the Quantum Energy Initiative cautions that while quantum computation may reduce energy consumption per calculation, the substantial capital expenditure required for building, maintaining, and operating quantum hardware complicates a straightforward economic argument for widespread adoption. “They may reduce the total energy cost, but at the price of a much larger capital expenditure, including the energy cost of manufacturing those D-Wave quantum computers,” he notes. They may reduce the total energy cost, but at the price of a much larger capital expenditure, including the energy cost of manufacturing those D-Wave [quantum computers]. Source: https://www.newscientist.com/article/2529973-quantum-computer-quickly-mines-cryptocurrency-while-using-less-energy/ Stay current. See today’s quantum computing news on Quantum Zeitgeist for the latest breakthroughs in qubits, hardware, algorithms, and industry deals. Tags: