Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

IBM-Q - Online Quantum Computing Platform

Juan José García‐Ripoll

Published Sep 23, 2019• 0 citations
OpenAlex

Abstract

IBERGRID 2019 - Delivering Innovative Computing and Data services to Researchers, UTC timezone, 23-26 septiembre 2019

Related papers

IBM Quantum Platform

Herbert M. Rubin

Springer eBooks•Jan 1, 2026•0 citations

Educating decision makers on resource allocations for quantum technologies

Russell Charles Manfield, M. Harvey, Andrew G. White

While quantum science occupies a deserved place in STEM curricula, new learning trajectories are also suggested for those seeking to generate value in emerging product and service settings. Harnessing quantum technologies for commercial purposes invites innovative curricula that guides both industry and government players in making promising use of their resources. Strategic resource allocation demands an underlying innovation thesis by which to diagnose value propositions with a guiding set of value principles. These tools then deliver cohesive actions that realise a quantum strategy to unlock value. Given this imperative, a key question arises: “How can we best educate a distributed skilled workforce to deliver and capture value from quantum innovations?”. This distributed learning challenge suggests a massive open online course (MOOC) to align quantum science with quantum strategy. We have recently built such a MOOC and have tracked its development arc as we tested our pedagogy, leading us to some interesting delineations. Firstly, those with existing products and services adopting particular quantum technologies to improve performance require tools to cut through the quantum hype in distilling value opportunities such technologies are uniquely positioned to deliver. Secondly, those already immersed in the technology need guiding frameworks to distil and propagate their value proposition aligned with end-user needs, thereby connecting technology advances with market expectations. We draw on our experience to note distinctive successes and learning boundaries enabled by MOOC platforms to allow both learning scale and geographic dispersion. We suggest future research and pedagogical development pathways.

Education and Training in Optics and Photonics•Jun 28, 2023•2 citations

Exploring Quantum Computing Paradigm: From Conceptualisation, Initial Adoption to Development

Manas Tripathi, Aswani Kumar Cherukuri, Ashish Bhasin +1 more

Quantum computing (QC) holds promise for next-generation applications that requires exponential time to solve NP problems. However, even after 25+ years, researchers still struggle with stable error correction solutions for delivering a stable commercialised quantum universal quantum machine. Companies like IBM, Rigetti, and D-Wave have already started offering quantum annealers, intermediate quantum devices based on the qubit. Therefore, researchers believe that QC would be introduced as an extension of classical computers (CC), where CC would offload a specific computational intensive task. Cloud companies, including Amazon, Azure, and IBM, have already begun to provide cloud services where an organisation can use a QC to work on potential applications. This paper systematically analyses the need to provide QC as a service (QCaaS) for potential applications. Furthermore, we discuss the framework on which this service can be offered. Subsequently, we provide a detailed discussion of various toolkits, libraries, and simulators available for QC.

Journal of Information & Knowledge Management•Jan 19, 2024•2 citations

Quantum Computing - Innovation. The Gallery - IBM Quantum System Two

Engineering & Technology•Feb 1, 2023•0 citations

Implementation of Shor’s Algorithm by Q# -Usage of IBM’s Quantum Computer-

万里川 則亮, 隆幸 平田, Noriaki Marikawa +1 more

Quantum computing is a scientific topic of people beyond computer researchers` community. Some companies offer service of usage of quantum computer to the people who want to use quantum computer. Various quantum computers are now working, which are open use for public users via online. Now we stand at the dawn of the utilization of quantum computers. There are some computer languages for quantum computing. We report the usage of Q# that was developed by IBM, and the implementation of Shor’s algorithm on IBM’s cloud computing.

•Mar 1, 2022•0 citations

The IBM Q experience and QISKit open-source quantum computing software

Andrew W. Cross

Bulletin of the American Physical Society•Mar 7, 2018•179 citations
While quantum science occupies a deserved place in STEM curricula, new learning trajectories are also suggested for those seeking to generate value in emerging product and service settings. Harnessing quantum technologies for commercial purposes invites innovative curricula that guides both industry and government players in making promising use of their resources. Strategic resource allocation demands an underlying innovation thesis by which to diagnose value propositions with a guiding set of value principles. These tools then deliver cohesive actions that realise a quantum strategy to unlock value. Given this imperative, a key question arises: “How can we best educate a distributed skilled workforce to deliver and capture value from quantum innovations?”. This distributed learning challenge suggests a massive open online course (MOOC) to align quantum science with quantum strategy. We have recently built such a MOOC and have tracked its development arc as we tested our pedagogy, leading us to some interesting delineations. Firstly, those with existing products and services adopting particular quantum technologies to improve performance require tools to cut through the quantum hype in distilling value opportunities such technologies are uniquely positioned to deliver. Secondly, those already immersed in the technology need guiding frameworks to distil and propagate their value proposition aligned with end-user needs, thereby connecting technology advances with market expectations. We draw on our experience to note distinctive successes and learning boundaries enabled by MOOC platforms to allow both learning scale and geographic dispersion. We suggest future research and pedagogical development pathways.
Quantum computing (QC) holds promise for next-generation applications that requires exponential time to solve NP problems. However, even after 25+ years, researchers still struggle with stable error correction solutions for delivering a stable commercialised quantum universal quantum machine. Companies like IBM, Rigetti, and D-Wave have already started offering quantum annealers, intermediate quantum devices based on the qubit. Therefore, researchers believe that QC would be introduced as an extension of classical computers (CC), where CC would offload a specific computational intensive task. Cloud companies, including Amazon, Azure, and IBM, have already begun to provide cloud services where an organisation can use a QC to work on potential applications. This paper systematically analyses the need to provide QC as a service (QCaaS) for potential applications. Furthermore, we discuss the framework on which this service can be offered. Subsequently, we provide a detailed discussion of various toolkits, libraries, and simulators available for QC.
Quantum computing is a scientific topic of people beyond computer researchers` community. Some companies offer service of usage of quantum computer to the people who want to use quantum computer. Various quantum computers are now working, which are open use for public users via online. Now we stand at the dawn of the utilization of quantum computers. There are some computer languages for quantum computing. We report the usage of Q# that was developed by IBM, and the implementation of Shor’s algorithm on IBM’s cloud computing.