Can Quantum Computing Tame AI's Energy Appetite?
The United States Department of Energy (DoE) is offering up $215 million in funding to help domestic firms develop the world’s first reliable quantum computer. The race to unlock quantum computing has heated up as the next-gen technology has arisen as a potential solution to the Pandora's box of energy demand that the AI boom has opened. The DoE’s Quantum Genesis Q Competition is now accepting…
The United States Department of Energy (DoE) is investing $215 million to foster the development of a reliable quantum computer within the nation. The race to achieve quantum computing prowess has intensified, as this groundbreaking technology is seen as a potential remedy to the energy crisis triggered by the AI boom. The DoE's Quantum Genesis Q Competition is currently soliciting proposals for ideas to deploy quantum computers with a minimum of 100 logical qubits, capable of executing hundreds of millions of fault-tolerant operations and conducting scientific demonstration programs.
DoE Undersecretary for Science Daro Gil emphasizes that the competition aims to engage both the commercial sector and the scientific community, fostering collaboration and competition to solidify the United States' position as a global leader in quantum computing. Concurrently, the DoE has launched a supplementary program, the Quantum High-Performance Computing Validation and Verification Testbed Lab Call, inviting proposals from the U.S. network of national laboratories to develop comprehensive tools and expertise for verifying the performance of fault-tolerant quantum computers.
As the pursuit of quantum technology gains momentum, its potential to mitigate the escalating energy demands of AI becomes increasingly apparent. According to a BCG Institute report, quantum computing, when sufficiently advanced, could potentially address 20 to 40 percent of emissions from sectors like steelmaking, cement production, carbon capture, green hydrogen, ammonia, and batteries.
While quantum computing does necessitate energy consumption, it significantly outpaces the energy consumption of data centers supporting the AI revolution. Quantum computing could also enhance AI's energy efficiency by revolutionizing large language models. Experts predict that certain AI processing tasks will transition to quantum computing, rendering current GPUs obsolete.
Notably, quantum technologies, such as quantum batteries and energy harvesters, hold the potential to revolutionize clean energy generation and utilization.
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