Quantum-Inspired C# for Hybrid Quantum-Classical Applications

This research paper introduces Quantum-Inspired C#, a groundbreaking extension to the C# programming language designed to enable seamless hybrid quantum-classical application development. By integrating quantum-inspired constructs within the familiar .NET ecosystem, this framework empowers developers to experiment with quantum algorithms while leveraging classical computational capabilities. The paper discusses the technical background, methodology, and potential applications of this framework, providing insights into its practical implementation and performance. It also includes mathematical formulations, programming examples, and use cases relevant to the NISQ (Noisy Intermediate-Scale Quantum) era. This work aims to bridge the gap between emerging quantum technologies and classical computing, fostering innovation in hybrid quantum-classical solutions.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-05
DOI
https://doi.org/10.5281/zenodo.14280102
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantum-Inspired C# for Hybrid Quantum-Classical Applications

Zenodo (CERN European Organization for Nuclear Research)
Quantum Computing Algorithms and Architecture
article

Quantum-Inspired C# for Hybrid Quantum-Classical Applications

article en

Abstract

This research paper introduces Quantum-Inspired C#, a groundbreaking extension to the C# programming language designed to enable seamless hybrid quantum-classical application development. By integrating quantum-inspired constructs within the familiar .NET ecosystem, this framework empowers developers to experiment with quantum algorithms while leveraging classical computational capabilities. The paper discusses the technical background, methodology, and potential applications of this framework, providing insights into its practical implementation and performance. It also includes mathematical formulations, programming examples, and use cases relevant to the NISQ (Noisy Intermediate-Scale Quantum) era. This work aims to bridge the gap between emerging quantum technologies and classical computing, fostering innovation in hybrid quantum-classical solutions.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 59%
Quantum Computing Algorithms and Architecture
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.