Energy efficiency of quantum computers
- URL: http://arxiv.org/abs/2605.15090v1
- Date: Thu, 14 May 2026 17:11:18 GMT
- Title: Energy efficiency of quantum computers
- Abstract summary: 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.<n>We analyze the most representative physical platforms currently envisioned to be used as building blocks of quantum computers.<n>We lay the foundation of a framework to benchmark the energy efficiency of any future quantum computing architecture.
- Score: 2.153463033022009
- License: http://creativecommons.org/licenses/by-nc-nd/4.0/
- Abstract: 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.
Related papers
- Strategic Plan for Neutral Atom Quantum Computation [84.56908019536233]
We present a strategic plan for neutral atom quantum computation, bringing together hardware development and theory advancements.<n>The concept of practical quantum advantage is defined, along with how to verify claims of advantage, and approaches to designing quantum algorithms that deliver practical advantage.
arXiv Detail & Related papers (2026-07-23T17:36:19Z) - Energetics of Rydberg-atom Quantum Computing [0.0]
Rydberg atoms have emerged recently as one of the most promising platforms to implement a large-scale quantum computer.<n>This work aims at investigating the energy consumption of the different elements of a Rydberg atom quantum computer.
arXiv Detail & Related papers (2026-01-06T16:11:19Z) - Quantum artificial intelligence for pattern recognition at high-energy colliders: Tales of Three "Quantum's" [0.0]
Quantum computing applications are an emerging field in high-energy physics.<n>This article reviews the current status of quantum computing applications for pattern recognition at high-energy colliders.
arXiv Detail & Related papers (2025-11-20T09:17:59Z) - Shaping photons: quantum computation with bosonic cQED [41.94295877935867]
We discuss the progress, challenges, and future directions in building a bosonic cQED quantum computer.
We conclude with our views of the key challenges that lie on the horizon, as well as scientific and cultural strategies for overcoming them.
arXiv Detail & Related papers (2023-11-07T09:59:57Z) - Quantum Computing for High-Energy Physics: State of the Art and
Challenges. Summary of the QC4HEP Working Group [33.8590861326926]
This paper is led by CERN, DESY and IBM and provides the status of high-energy physics quantum computations.
We give examples for theoretical and experimental target benchmark applications, which can be addressed in the near future.
Having the IBM 100 x 100 challenge in mind, where possible, we also provide resource estimates for the examples given using error mitigated quantum computing.
arXiv Detail & Related papers (2023-07-06T18:01:02Z) - Quantum computing with and for many-body physics [0.0]
Quantum many-body systems are used to build quantum processors.
Current and future quantum processors can be used to describe large many-body systems of fermions such as electrons and nucleons.
arXiv Detail & Related papers (2023-03-08T19:34:55Z) - Quantum Machine Learning: from physics to software engineering [58.720142291102135]
We show how classical machine learning approach can help improve the facilities of quantum computers.
We discuss how quantum algorithms and quantum computers may be useful for solving classical machine learning tasks.
arXiv Detail & Related papers (2023-01-04T23:37:45Z) - Is there evidence for exponential quantum advantage in quantum
chemistry? [45.33336180477751]
The idea to use quantum mechanical devices to simulate other quantum systems is commonly ascribed to Feynman.
It may be prudent to assume exponential speedups are not generically available for this problem.
arXiv Detail & Related papers (2022-08-03T16:33:57Z) - Quantum computing hardware for HEP algorithms and sensing [36.67390040418004]
Quantum information science harnesses the principles of quantum mechanics to realize computational algorithms with complexities vastly intractable by current computer platforms.
Fermilab's Superconducting Quantum Materials and Systems (SQMS) Center is dedicated to providing breakthroughs in quantum computing and sensing.
We discuss the two most promising superconducting quantum architectures for HEP algorithms, i.e. three-level systems (qutrits) supported by transmon devices coupled to planar devices and multi-level systems (qudits with arbitrary N energy levels) supported by superconducting 3D cavities.
arXiv Detail & Related papers (2022-04-19T01:37:36Z) - Quantum computing at the quantum advantage threshold: a down-to-business
review [1.0323063834827415]
We review the state of the art in quantum computing, promising computational models and the most developed physical platforms.
We also discuss potential applications, the requirements posed by these applications and technological pathways towards addressing these requirements.
The review is written in a simple language without equations, and should be accessible to readers with no advanced background in mathematics and physics.
arXiv Detail & Related papers (2022-03-31T16:55:39Z) - Recompilation-enhanced simulation of electron-phonon dynamics on IBM
Quantum computers [62.997667081978825]
We consider the absolute resource cost for gate-based quantum simulation of small electron-phonon systems.
We perform experiments on IBM quantum hardware for both weak and strong electron-phonon coupling.
Despite significant device noise, through the use of approximate circuit recompilation we obtain electron-phonon dynamics on current quantum computers comparable to exact diagonalisation.
arXiv Detail & Related papers (2022-02-16T19:00:00Z) - Simulating Quantum Materials with Digital Quantum Computers [55.41644538483948]
Digital quantum computers (DQCs) can efficiently perform quantum simulations that are otherwise intractable on classical computers.
The aim of this review is to provide a summary of progress made towards achieving physical quantum advantage.
arXiv Detail & Related papers (2021-01-21T20:10:38Z) - Quantum walk processes in quantum devices [55.41644538483948]
We study how to represent quantum walk on a graph as a quantum circuit.
Our approach paves way for the efficient implementation of quantum walks algorithms on quantum computers.
arXiv Detail & Related papers (2020-12-28T18:04:16Z) - Quantum Computation [0.0]
We will discuss and summarized the core principles and practical application areas of quantum computation.
The mapping of computation onto the behavior of physical systems is a historical challenge.
We will evaluate the essential technology required for quantum computers to be able to function correctly.
arXiv Detail & Related papers (2020-06-04T11:57:18Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.