Quantum in the Cloud: Application Potentials and Research Opportunities
Explore this paper's citation graph
Summary
It is shown that quantum programs are typically hybrid consisting of a mixture of classical parts and quantum parts, showing that the cloud is a fine environment for performing quantum programs.
- Type
- preprint
- Published
- 2020-03-13
- Cited by
- 70
- References
- 67
- Access
- Open access
- OpenAlex
- https://openalex.org/W3012458977
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:212717763
Keywords
Sketch, Cloud computing, Computer science, Quantum, Quantum computer
References
- Quantum Compiler Optimizations
- Understanding digital humanities
- A Quantum Approximate Optimization Algorithm
- QuRE: The Quantum Resource Estimator toolbox
- A layered software architecture for quantum computing design tools
- An introduction to quantum machine learning
- ScaffCC: Scalable compilation and analysis of quantum programs
- Quantum-state preparation with universal gate decompositions
- Quantum Circuit Simplification and Level Compaction
- Verb Semantics and Lexical Selection
- Quantum clustering algorithms
- A variational eigenvalue solver on a photonic quantum processor
- On the role of entanglement in quantum-computational speed-up
- Kernel methods in machine learning
- Quantum algorithms: an overview
- A Practical Guide to Training
- Quantum Boltzmann Machine
- Supporting Online Material for Reducing the Dimensionality of Data with Neural Networks
- A software methodology for compiling quantum programs
- Datenanalyse in den Digital Humanities - Eine Annäherung an Kostümmuster mittels OLAP Cubes
Cited by
- The bitter truth about gate-based quantum algorithms in the NISQ era
- Quantum Software Engineering: Landscapes and Horizons
- TOSCA4QC: Two Modeling Styles for TOSCA to Automate the Deployment and Orchestration of Quantum Applications
- About a criterion of successfully executing a circuit in the NISQ era: what wd ≪ 1/𝜖 eff really means
- The Quantum software lifecycle
- Integrating Quantum Computing into Workflow Modeling and Execution
- Quantum supremacy in end-to-end intelligent IT. Pt. I:Quantum software engineering–quantum gate level applied models simulators
- Automated Quantum Hardware Selection for Quantum Workflows
- QSOC: Quantum Service-Oriented Computing
- Towards Model-Driven Quantum Software Engineering
- QProv: A provenance system for quantum computing
- Hybrid Quantum Applications Need Two Orchestrations in Superposition: A Software Architecture Perspective
- Quantum software testing: State of the art
- MODULO: Modeling, Transformation, and Deployment of Quantum Workflows
- Selection and Optimization of Hyperparameters in Warm-Started Quantum Optimization for the MaxCut Problem
- Peel | Pile? Cross-Framework Portability of Quantum Software
- Analysis and Rewrite of Quantum Workflows: Improving the Execution of Hybrid Quantum Algorithms
- Prioritization of Compiled Quantum Circuits for Different Quantum Computers
- A compiler for universal photonic quantum computers
- Provenance-Preserving Analysis and Rewrite of Quantum Workflows for Hybrid Quantum Algorithms
Related papers
- Modeling Quantum programs: challenges, initial results, and research directions
- A Novel Approach to the Implementation of Cloud-Based Quantum Programming Platforms in VR Environment
- Quantum Computing for Location Determination
- Challenge: Quantum Computing for Location Determination
- Quantum Algorithm Implementations for Beginners
- Challenges and Opportunities: Quantum Computing in Machine Learning
- Enhanced Machine Learning using Quantum Computing
- Methods to simulate fermions on quantum computers with hardware limitations