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Supporting End Users in Implementing Quantum Computing Applications
DescriptionQuantum computing applications require expert knowledge to perform complex steps: (1) selecting a suitable quantum algorithm, (2) generating the quantum circuit, (3) compiling/executing the quantum circuit, and (4) decoding the results. This creates high entry barriers for end users with limited expertise who need solutions for domain-specific problems. This poster highlights methods developed to assist end users, resulting in multiple open-source tools in the Munich Quantum Toolkit (MQT) on GitHub.
The poster focuses on three main tasks:
1) End-User Workflow (MQT ProblemSolver): Providing a workflow from classical input to a quantum solution, then returning it to classical format.
2) Quantum Device Selection and Compilation (MQT Predictor): Selecting and efficiently compiling the most suitable quantum device.
3) Benchmark Suite (MQT Bench): Offering representative test cases in a benchmark suite of quantum applications.
These tools simplify quantum computing, making it accessible to non-experts.
The poster focuses on three main tasks:
1) End-User Workflow (MQT ProblemSolver): Providing a workflow from classical input to a quantum solution, then returning it to classical format.
2) Quantum Device Selection and Compilation (MQT Predictor): Selecting and efficiently compiling the most suitable quantum device.
3) Benchmark Suite (MQT Bench): Offering representative test cases in a benchmark suite of quantum applications.
These tools simplify quantum computing, making it accessible to non-experts.
