Comparing Quantum Service Offerings
- URL: http://arxiv.org/abs/2304.12718v3
- Date: Fri, 15 Dec 2023 09:14:12 GMT
- Title: Comparing Quantum Service Offerings
- Authors: Julian Obst and Johanna Barzen and Martin Beisel and Frank Leymann and
Marie Salm and Felix Truger
- Abstract summary: We compare several devices based on different hardware technologies and provided through different offerings.
By documenting the lessons learned from our experiments, we aim to simplify the usage of quantum-specific offerings.
- Score: 0.22369578015657962
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: With the emergence of quantum computing, a growing number of quantum devices
is accessible via cloud offerings. However, due to the rapid development of the
field, these quantum-specific service offerings vary significantly in
capabilities and requirements they impose on software developers. This is
particularly challenging for practitioners from outside the quantum computing
domain who are interested in using these offerings as parts of their
applications. In this paper, we compare several devices based on different
hardware technologies and provided through different offerings, by conducting
the same experiment on each of them. By documenting the lessons learned from
our experiments, we aim to simplify the usage of quantum-specific offerings and
illustrate the differences between predominant quantum hardware technologies.
Related papers
- The curse of random quantum data [62.24825255497622]
We quantify the performances of quantum machine learning in the landscape of quantum data.
We find that the training efficiency and generalization capabilities in quantum machine learning will be exponentially suppressed with the increase in qubits.
Our findings apply to both the quantum kernel method and the large-width limit of quantum neural networks.
arXiv Detail & Related papers (2024-08-19T12:18:07Z) - Quantum Serverless Paradigm and Application Development using the QFaaS Framework [17.398771276317575]
This chapter introduces the concept of serverless quantum computing with examples using QF.
The framework utilizes the serverless computing model to simplify quantum application development and deployment.
The chapter provides comprehensive documentation and guidelines for deploying and using QF.
arXiv Detail & Related papers (2024-07-03T06:12:55Z) - A Quantum-Classical Collaborative Training Architecture Based on Quantum
State Fidelity [50.387179833629254]
We introduce a collaborative classical-quantum architecture called co-TenQu.
Co-TenQu enhances a classical deep neural network by up to 41.72% in a fair setting.
It outperforms other quantum-based methods by up to 1.9 times and achieves similar accuracy while utilizing 70.59% fewer qubits.
arXiv Detail & Related papers (2024-02-23T14:09:41Z) - Quantum algorithms: A survey of applications and end-to-end complexities [90.05272647148196]
The anticipated applications of quantum computers span across science and industry.
We present a survey of several potential application areas of quantum algorithms.
We outline the challenges and opportunities in each area in an "end-to-end" fashion.
arXiv Detail & Related papers (2023-10-04T17:53:55Z) - Quantum utility -- definition and assessment of a practical quantum
advantage [0.0]
Different use-cases come with different requirements for size, weight, power consumption, or data privacy.
This paper aims to incorporate these characteristics into a concept coined quantum utility.
It demonstrates the effectiveness and practicality of quantum computers for various applications.
arXiv Detail & Related papers (2023-03-03T18:33:46Z) - 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) - Software for Massively Parallel Quantum Computing [1.0118253437732934]
Recent advances in quantum computing have enabled a class of classically parallel quantum workloads.
We present the full-stack software framework developed at Quantum Brilliance to enable multi-modal parallelism for hybrid quantum workloads.
arXiv Detail & Related papers (2022-11-23T23:59:02Z) - Assessing requirements to scale to practical quantum advantage [56.22441723982983]
We develop a framework for quantum resource estimation, abstracting the layers of the stack, to estimate resources required for large-scale quantum applications.
We assess three scaled quantum applications and find that hundreds of thousands to millions of physical qubits are needed to achieve practical quantum advantage.
A goal of our work is to accelerate progress towards practical quantum advantage by enabling the broader community to explore design choices across the stack.
arXiv Detail & Related papers (2022-11-14T18:50:27Z) - Quantum Annealing for Industry Applications: Introduction and Review [0.0]
In recent years, advances in quantum technologies have enabled the development of small- and intermediate-scale quantum processors.
We provide a literature review of the theoretical motivations for quantum annealing, the software and hardware that is required to use such quantum processors, and the state-of-the-art applications and proofs-of-concepts that have been demonstrated using them.
arXiv Detail & Related papers (2021-12-14T15:58:30Z) - Experimental Quantum Generative Adversarial Networks for Image
Generation [93.06926114985761]
We experimentally achieve the learning and generation of real-world hand-written digit images on a superconducting quantum processor.
Our work provides guidance for developing advanced quantum generative models on near-term quantum devices.
arXiv Detail & Related papers (2020-10-13T06:57:17Z) - Realizing Quantum Algorithms on Real Quantum Computing Devices [2.753636313401186]
Quantum computing in the cloud is already available.
Google, IBM, Rigetti, Intel, IonQ, and Xanadu follow diverse technological approaches.
Various methods for realizing the intended quantum functionality on a given quantum computing device are available.
arXiv Detail & Related papers (2020-07-02T10:23:35Z)
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.