Most companies that enter the quantum space develop their own systems from scratch, including building their own processor. The 25-qubit Contralto processor has been designed to make it easier for organisations to work with quantum computing but at a fraction of the price.
QuantWare was the first company to launch ‘off the shelf’ quantum processors with short lead times from order to delivery. Since its debut QPU, Soprano, launched in summer 2021, the company has tripled its staff headcount and seen considerable demand for its offering. QuantWare qubits are already in labs around the world.
With Contralto, organisations wanting to build large-scale quantum computers have a powerful, cost-effective alternative to building their own QPU. The Contralto also offers customisability, with the option to add chip features as desired, such as asymmetric squid junctions, Purcell filters, and custom qubit topology.
In addition, dedicated drive and flux lines offer full qubit control. These features were previously only available to a handful of laboratories and very big tech companies.
“Soprano enabled quantum computing research. Now half a year later, with the size of Contralto, we give the rest of the world capabilities equal to only the very best makers of quantum processors. While big tech companies have built QPUs with a higher number of qubits, these are not commercially available and restricted in design,” explained QuantWare managing director Matthijs Rijlaarsdam. “Moreover, building a quantum computer becomes much more affordable with the availability of our new QPU. Building a large-scale, full-stack quantum computer can cost in the region of €45 million. The Contralto creates the opportunity to build one for an order of magnitude lower cost, opening up a myriad of new opportunities which could not be explored before.
“We’re democratising the future of quantum computing by allowing our customers to focus more on results than the basics of creating a computer. We hope to see our customers using this QPU to start scaling toward systems that achieve quantum advantage, solving problems that classical computers cannot feasibly tackle.”