Curator's Take
This article tackles a critical but often overlooked question in quantum computing: how much energy do these machines actually consume, and are they worth it from an efficiency standpoint? The researchers provide the first comprehensive framework for comparing energy consumption across all major quantum computing platforms, from superconducting qubits to trapped ions, offering concrete metrics that will be essential as the field moves toward practical applications. This work is particularly timely as quantum computers scale up and energy costs become a real consideration for data centers and cloud providers looking to deploy quantum hardware. The framework they've established will likely become a standard benchmarking tool, helping guide hardware development decisions and giving us realistic expectations about quantum computing's environmental footprint compared to classical supercomputers.
— Mark Eatherly
Summary
How much energy does a quantum computer consume? Are they more efficient than their classical counterparts? In this work, we make a step towards answering these questions. We define the energy efficiency of a quantum computer as the ratio of the number of algorithms it can perform during a given time over the energy consumed by the hardware during this time. We analyze the most representative physical platforms currently envisioned to be used as building blocks of quantum computers: superconducting qubits, silicon spin qubits, trapped ions, neutral atoms and photonic qubits. Including insights from experts in all these technologies and taking into account algorithm compilation constraints, we discuss the advantages and inconveniences of each platform from an energy standpoint. Beyond providing concrete values of the energy consumption of current quantum computers, we lay the foundation of a framework to benchmark the energy efficiency of any future quantum computing architecture.