# 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
  - Data format for Hamiltonian input
  - Device sum constraint for problem
  - Submitting jobs
  - System monitoring
  - Device Lock Basics
  - Health monitoring for device
- eqc_direct
  - eqc_direct.eqc_client
    - `InactiveRpcError`
    - `EqcResult`
    - `HealthCheckResponse`
    - `EqcClient`
  - eqc_direct.utils
    - `SysStatus`
    - `LockCheckStatus`
    - `LockManageStatus`
    - `JobCodes`
    - `message_to_dict()`
- Dependencies
  - Packages
- Additional Resources