QRBS 0.4.2

v0.4.2

Update release.yml

QRBS 0.4.1

This release fixes the reconstruction of the precision of the consequent of a rule after it has been executed.

QRBS 0.4.0

This release includes the new developed documentation, which provides the following sections:

• Installation
• Usage
  • Basic
  • Advanced
• Source code specification

QRBS 0.3.0

This release includes a few refactor changes across the codebase, including:

• Imprecision is now Precision
• Uncertainty is now Certainty
• Cleaned coding style
• Fixed minor grammatical errors

This changes have taken place to prepare the final release of the QRBS software library.

QRBS 0.2.1

This release is for a hotfix that fixes an error where the evaluation prior to the execution of a system always used the default QRBS model.

QRBS 0.2.0

This version includes the newly implemetned model for QRBS, based on Bayes. This model is the last one we are implementing before the final release.

To use this new model, simply indicate it when evaluating or executing a QRBS in MyQlmQPU, for example:

MyQlmQPU.evaluate(system, model='bayes')

QRBS 0.1.1

This new release includes a new model for implementing the quantum circuit of a QRBS, based on fuzzy logic.

To use this new model, simply indicate it when evaluating or executing a QRBS in MyQlmQPU, for example:

MyQlmQPU.evaluate(system, model='fuzzy')

QRBS 0.1.0

This is the preliminary version of the QRBS software library. It provides the functionalities specified in the earlier stages of the developement, in their more basic form.

The main changes from previous release 0.0.2 are:

• Evaluating and executing QRBS in a default QPU implementation (MyQlmQPU)
• Refactored the design regarding the building and execution of QRBS
• Added more tests (building, evaluating, executing)

QRBS 0.0.2

Developed version 0.0.2

• Building quantum routines of knowledge representation elements
• More advanced tests (creation, deletion and modification of elements)

QRBS 0.0.1

Base version of NEASQC's QRBS library

• Knowledge representation (inferential circuits) and QRBS structure
• Very basic tests (object instantiation)