Anaheim, CA., March 18, 2025 -- QuantWare and QuantrolOx have announced a joint offering enabling quantum computer researchers to develop error correction capabilities using QuantWare’s flagship error-correction Contralto-A quantum processor with the automated tuneup of QuantrolOx’s Quantum EDGE software.

Contralto-A features up to 17 transmon qubits with tunable couplers, making it almost twice as large as competing solutions that are commercially available. This size enables distance-3 surface code implementations.  QuantWare’s A line comes with optional expert training and support from leading hardware and algorithm specialists, helping users create and achieve a competitive roadmap towards large scale quantum error-correction capabilities. Contralto-A is a first step on this roadmap and is specifically made to be easily upgradable to larger QPUs powered by QuantWare’s VIO scaling technology.

Running Quantum Error Correction codes requires excellent tuneup of individual operations. Previously, this task required several experts with a PhD in Physics. With Quantum EDGE, this task becomes fully automated, thus freeing up their time considerably and accelerating the development and research of these systems. QuantrolOx has set a new industry benchmark using QuantWare’s QPUs achieving fully-automated quantum processing unit (QPU) characterization and tune-up, creating a 2-qubit CZ gate in under 25 minutes.

QuantrolOx’ Quantum EDGE’s distributed architecture allows it to be delivered to customers on premise or over the cloud. Ready to use out of the box, Quantum EDGE needs no complicated setup, allowing users to focus on developing error correction capabilities without worrying about the bring up, characterisation and tuning of underlying qubits.

This joint solution by QuantWare and QuantrolOx promises to accelerate the path to fully error-corrected quantum computers by enabling any organisation to develop error correction capabilities - as a first step on an A-line powered roadmap to leadership in the quantum computing space.