# Getting Started

## Introduction

Entropy Quantum Computing (EQC) from Quantum Computing Inc. (QCi) can be used to solve combinatorial optimization problems with continuous solution spaces. The EQC device series developed by QCi utilizes this form of computing to provide a photonic computing optimzation solver. The `eqc-direct` Python package provides a framework for direct integration to use and monitor these powerful devices.

## Installation

Python package is availble from PyPI repository and can be installed by:

    pip install eqc-direct

## Table of Contents

- Getting Started
- Basic Usage
  - Formatting input polynomial
  - A dual purpose solver
    - Integer solver
    - Sum constrained solver
  - System monitoring
  - Device Lock Basics
  - Health monitoring and calibration for Dirac
- Advanced Usage
  - Additional inputs to solving routines
    - Specifiying the Number of Variables Explicitly
    - Specifiying More than One Sample
    - Device Configurations
  - An example using relaxation schedule with tuned parameters
  - Additional Resources
  - Troubleshooting and Support
- eqc_direct
  - eqc_direct.client
    - `InactiveRpcError`
    - `SumConstrainedResult`
    - `IntegerResult`
    - `EqcClient`
  - eqc_direct.utils
    - `SystemInfoOptional`
    - `SystemInfo`
    - `SysStatus`
    - `LockCheckStatus`
    - `LockManageStatus`
    - `JobCodes`
    - `message_to_dict()`
    - `convert_hamiltonian_to_poly_format()`
    - `get_decimal_places()`
  - Index
- Dependencies
  - Packages
  - Semantic Versioning Policy