Fixstars Amplify Integrates IonQ Backend to Support Trapped-Ion Algorithm Prototyping

Fixstars Amplify Corporation, a developer of cloud-based optimization platforms, has announced the integration of IonQ’s trapped-ion quantum computing environment into its software stack. This development allows enterprise users in the United States and Japan to utilize IonQ's hardware and cloud-based simulators for solving complex combinatorial optimization problems, including the Travelling Salesperson Problem and Quadratic Assignment Problems.

The integration leverages the Fixstars Amplify SDK and the Amplify Quantum extension, which automates the translation of mathematical optimization models into parametric quantum circuits. Users can now switch backend solvers from traditional classical GPU engines to IonQ’s trapped-ion architecture through a simple client configuration update in their Python environments. This platform supports various hybrid variational algorithms, such as Quantum Approximate Optimization Algorithm (QAOA), Constrained QAOA, and Recursive QAOA, designed for Noisy Intermediate-Scale Quantum (NISQ) systems.

IonQ’s trapped-ion technology provides an all-to-all connectivity architecture, which enables direct interaction between any two qubits, effectively reducing the overhead of swap-gate penalties found in fixed-coupling superconducting systems. As part of the initial deployment, current account holders gain access to IonQ’s quantum simulator at no extra cost, while access to physical trapped-ion processing units will be made available through tiered, paid subscription models in the coming period.

Source: quantumcomputingreport.com
Publication date: 20.06.2026
Author: Mohamed Abdel-Kareem