Getting Started

Installation

HierarQcal is hosted on [pypi](https://pypi.org/project/hierarqcal/) and can be installed via pip:

Based on the quantum computing framework you use, choose one of:

(.venv) $ pip install hierarqcal[cirq]

or

(.venv) $ pip install hierarqcal[qiskit]

or

(.venv) $ pip install hierarqcal[pennylane]

or if you only want to use hierarQcal core functionality

(.venv) $ pip install hierarqcal

The package is quantum computing framework independent, there are helper functions for Cirq, Qiskit and Pennylane to represent the circuits in their respective frameworks.

Basic usage

There is a quickstart notebook with a summary of functionality and also a more in depth tutorial:

Tutorials

• HierarQcal Quickstart
  • Overview
  • Binary trees
  • MERA from Grant et al.
  • Sub motif as a mapping for a motif
    • A cycle of cycles
    • A cycle of cycles of permutations
  • Symbol management
    • Specifying rotational angles
    • Symbols as a function
  • Masking
  • Pivots
  • Specifying unitaries
• Core functionality tutorial
  • Specify backend
  • Building blocks
    • Qunitary
    • Qinit primitive
    • Cycle primitive
      • Stride examples
      • Step examples
      • Offset examples
      • Boundary examples
      • N qubit unitaries
    • Qpermute primitive
    • Qmask and Qunmask primitive
      • Masking without a mapping
      • Masking with a mapping
      • N-qubit unitaries
      • Qunmask example
  • Qpivot primitive
  • Classical and Quantum computation (Advanced usage + experimental features)
    • Classical computation (addition example)
    • Lower level control (create your own edge patterns) + custom Quantum simulation