Unveiling Energetic Advantage in Superconducting Cat-Qubits Quantum Computation

TL;DR

This paper analyzes the energy consumption of superconducting cat-qubit quantum computers, demonstrating potential energetic advantages over classical systems for systems with more than 26 qubits, considering realistic cryogenic conditions.

Contribution

It introduces an energy optimization method for superconducting cat-qubit systems and compares their energetic efficiency to classical computers, highlighting a potential quantum energetic advantage.

Findings

Energy consumption scales with qubit number and stabilization parameters.

Optimization reduces energy use while maintaining qubit fidelity.

Quantum energetic advantage appears for systems with over 26 qubits.

Abstract

Quantum computers are emerging as a promising new technology due to their ability to solve complex problems that exceed the capabilities of classical systems in terms of time. Among various implementations, superconducting qubits have become the leading technology due to their scalability and compatibility with quantum error correction mechanisms. Although time has traditionally been the primary focus, energetic efficiency is becoming an increasingly important consideration, especially with the possibility of a quantum energetic advantage. In this article, the energy consumption of the Semiclassical Quantum Fourier Transform was analyzed on a superconducting quantum computing platform based on cat qubits. Quantum error correction mechanisms were studied and considered in the energy estimations. The results show how the energy consumption scales with the number of qubits and how the most relevant parameters required for qubit stabilization, gate implementation, and error correction codes contribute to the overall energy usage. An optimization method was developed to tune these parameters with the goal of minimizing energy consumption while maintaining qubit fidelities above a given threshold. Additionally, a comparative study with state-of-the-art classical computers indicates a potential quantum energetic advantage for systems with more than 26 qubits, assuming cryogenic systems operating at Carnot efficiency, with this energetic advantage arising before any computational advantage. This behavior persists even when realistic cryogenic systems and control electronics are taken into account.