# OpenSurgery for Topological Assemblies

## TL;DR

OpenSurgery is a scalable tool that helps design, visualize, and estimate resources for surface code quantum circuits using lattice surgery, aiding hardware-aware quantum algorithm development.

## Contribution

It introduces OpenSurgery, a novel tool for preparing, visualizing, and resource-estimating surface code quantum circuits with lattice surgery.

## Key findings

- Supports arbitrary quantum circuit layout
- Provides resource estimation for quantum computations
- Visualizes 3D topological assemblies

## Abstract

Surface quantum error-correcting codes are the leading proposal for fault-tolerance within quantum computers. We present OpenSurgery, a scalable tool for the preparation of circuits protected by the surface code operated through lattice surgery. Lattice surgery is considered a resource efficient method to implement surface code computations. Resource efficiency refers to the number of physical qubits and the time necessary for executing a quantum computation. OpenSurgery is a first step towards methods that aid quantum algorithm design informed by the realities of the hardware architectures. OpenSurgery can: 1) lay out arbitrary quantum circuits, 2) estimate the quantum resources used for their execution, 3) visualise the resulting 3D topological assemblies. Source code is available at http://www.github.com/alexandrupaler/opensurgery.