Academic Journal

Optimizing Resource Efficiencies for Scalable Full-Stack Quantum Computers

التفاصيل البيبلوغرافية
العنوان: Optimizing Resource Efficiencies for Scalable Full-Stack Quantum Computers
المؤلفون: Marco Fellous-Asiani, Jing Hao Chai, Yvain Thonnart, Hui Khoon Ng, Robert S. Whitney, Alexia Auffèves
المصدر: PRX Quantum, Vol 4, Iss 4, p 040319 (2023)
بيانات النشر: American Physical Society, 2023.
سنة النشر: 2023
المجموعة: LCC:Physics
LCC:Computer software
مصطلحات موضوعية: Physics, QC1-999, Computer software, QA76.75-76.765
الوصف: In the race to build scalable quantum computers, minimizing the resource consumption of their full stack to achieve a target performance becomes crucial. It mandates a synergy of fundamental physics and engineering: the former for the microscopic aspects of computing performance and the latter for the macroscopic resource consumption. For this, we propose a holistic methodology dubbed metric noise resource (MNR) that is able to quantify and optimize all aspects of the full-stack quantum computer, bringing together concepts from quantum physics (e.g., noise on the qubits), quantum information (e.g., computing architecture and type of error correction), and enabling technologies (e.g., cryogenics, control electronics, and wiring). This holistic approach allows us to define and study resource efficiencies as ratios between performance and resource cost. As a proof of concept, we use MNR to minimize the power consumption of a full-stack quantum computer, performing noisy or fault-tolerant computing with a target performance for the task of interest. Comparing this with a classical processor performing the same task, we identify a quantum energy advantage in regimes of parameters distinct from the commonly considered quantum computational advantage. This provides a previously overlooked practical argument for building quantum computers. While our illustration uses highly idealized parameters inspired by superconducting qubits with concatenated error correction, the methodology is universal—it applies to other qubits and error-correcting codes—and it provides experimenters with guidelines to build energy-efficient quantum computers. In some regimes of high energy consumption, it can reduce this consumption by orders of magnitude. Overall, our methodology lays the theoretical foundation for resource-efficient quantum technologies.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2691-3399
Relation: https://doaj.org/toc/2691-3399
DOI: 10.1103/PRXQuantum.4.040319
URL الوصول: https://doaj.org/article/fa6d4fb802c9409e8b28767080b68108
رقم الانضمام: edsdoj.fa6d4fb802c9409e8b28767080b68108
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:26913399
DOI:10.1103/PRXQuantum.4.040319