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What is Haiqu

Haiqu offers an advanced quantum computing environment that puts you in control of quantum application design. It accelerates development with optimized application subroutines, cutting‑edge noise mitigation, performance analytics tools, and a collaborative workspace.

Product Capabilities

Streamlined Quantum Environment

Work in a collaborative JupyterLab setup simplifying development.

Experiment Tracking & Workflow Management

Track experiments, job histories, and circuit metrics.

In‑Depth Analytics

Quickly iterate development with insights into algorithms, middleware, and circuit performance

Multi‑Hardware Integration

Develop and deploy applications on different quantum processors..

Advanced Error Mitigation & Optimization

Employ middleware that reduces noise, optimizes circuits, and improves reliability on noisy Quantum Processing Units (QPUs).

Optimized Application Subroutines

Take advantage of utility routines optimized for performance at large scales, including efficient data loading and QML warm-starting.

Quick Start

To create your quantum application with Haiqu, follow simple end-to-end workflow example or choose the guide that matches your needs:

Circuit Analysis

Quantum circuit analysis is important for understanding the structure, complexity, and feasibility of executing a circuit on quantum hardware or simulators. It helps to identify key properties such as gate composition, depth, connectivity, and noise susceptibility, which impact performance and accuracy.

Circuit Execution

In this example, you’ll learn how to execute quantum circuits using the Haiqu SDK on a variety of backends — from ideal simulators to real quantum hardware (e.g. via IBM Quantum). We will cover different scenarios and walk you through the steps required to execute the circuits on a quantum device or simulator.

Introduction to Data Loading

A key challenge in quantum computing applications — such as quantum machine learning, finance, and optimization — is efficiently encoding classical data into quantum states. This process, dubbed as Quantum Data Loading, involves preparing quantum circuits that convert classical information into a suitable quantum representation. Effective data loading is critical for running practical quantum algorithms beyond synthetic benchmarks.

Option Pricing

In this example, we’ll follow the Qiskit Finance tutorial on Pricing European Call Options. We recommend reviewing that tutorial to better understand the problem and its quantum solution.

Learn More

Website

Lean more about Haiqu.

Glossary

Lean the key quantum computing terms.

Career

Join the Haiqu team.

Product Announcement

Cutting edge features from the Haiqu team.