v1.5.2

• Send compilers within the request body instead of query params

v1.5.1

• Add defaults for env vars

v1.5.0

• feature learning MCDA weights via Prio Service
• feature pre-selection of compilers and QPUs
• support new planqk login
• support arm chip
• further fixes and improvements

How to Select Quantum Compilers and Quantum Computers Before Compilation

This is part of the implementation for the paper "How to Select Quantum Compilers and Quantum Computers Before Compilation".

The docker-compose of all components can be found here:
https://github.com/UST-QuAntiL/nisq-analyzer-content/tree/paper/pre-selection/pre-selection/Docker

Demo video:
https://vimeo.com/773722924

without-qprov

Version of NISQ Analyzer that calls the Qiskit Service instead of QProv to receive up-to-date data of IBMQ QPUs.

Optimizing the Prioritization of Compiled Quantum Circuits by Machine Learning Approaches

This is part of the implementation for the paper "Optimizing the Prioritization of Compiled Quantum Circuits by Machine Learning Approaches".

The docker-compose of all components can be found here:
https://github.com/UST-QuAntiL/nisq-analyzer-content/tree/paper/optimizing-prioritization

Demo video: https://youtu.be/luSWN5SRxNg

v1.4.0

• improve Github Actions workflow
• further properties (e.g., multi-qubit gate depth, …) of transpiled circuits
• store QPU properties in analysis results
• job and circuit super classes
• prioritization feature added:
  • integration of diviz framework
  • supports 3 MCDA methods via SOAP
  • initial weights
  • weights adaption
  • supports histogram intersection for QPU selection

Prioritization of Compiled Quantum Circuits for Different Quantum Computers

This is part of the implementation for the paper "Prioritization of Compiled Quantum Circuits for Different Quantum Computers".

The docker-compose of all components can be found here:
https://github.com/UST-QuAntiL/nisq-analyzer-content/tree/paper/prioritization

v1.3.0

• support of bearer and refresh token of the PlanQK platform for analysing platform data
• adapt ports to avoid standard ports
• support execution of qpu-selection results
• expand qpu-selection with additional optional attributes, such as circuitName and time

v1.2.0

• enable job-based execution of implementation & QPU selection
• add endpoint and functionality for QPU and compiler selection for a given quantum circuit