Quantum computing start-up IonQ today revealed that it has raised extra funding as part of its formerly announced Series B round. This round extends the company’s financing, including its 2019 $ 55 million Series B round, by about$ 7 million and brings the overall financial investment into IonQ to $84 million.

The new financing consists of tactical investments from Lockheed Martin and Robert Bosch Venture Capital, in addition to Cambium, a reasonably brand-new multi-stage VC company that specializes in investing “in the future of computational paradigms.”

In addition to the brand-new financing, College Park, Maryland-based IonQ Announced a number of additions to its advisory group, consisting of 2012 Nobel Prize winner David Wineland, who dealt with IonQ co-founder and chief researcher Christopher Monroe on constructing the first quantum reasoning gate back in 1995.

Other new consultants are Berkeley Quantum Calculation Center co-director Umesh Vazirani, previous

Cray senior VP of R&D Margaret(Peg)Williams, and Duke associate teacher Kenneth Brown. Image Credits: IonQ/ IonQ made an early bet on trapped ions at the core of its quantum computer systems, which is not a surprise, given Monroe’s early work in this field.”We’re doing something which, at least initially, was considered type of versus the grain for quantum And what that is trapped ion computer systems, which is ions which are being suspended in a vacuum and using electromagnets to hold them. Our qubits are our individual ions,” said IonQ CEO and president Peter Chapman, who was Amazon’s director of engineering for Amazon Prime prior to he took this new role last year. This technique has its cons and pros, Chapman discussed. It makes it much easier for the business to develop its qubits, for instance, which lets it focus on controlling them. In addition, IonQ’s machines can run at space temperature level, while the majority of its competitors (with possibly the exception of Honeywell, which is also betting trapped ions at the core of its quantum computer system) have to cool their devices to as near to no Kelvin as possible.

One negative– a minimum of for the time being, however– is that the trapped ion method produces a relatively slow quantum computer. Chapman mainly dismissed the review. “People state that the caught ion computers are sluggish and that is true in the present generation. But sluggish is relative here. We run a thousand times slower or something. However at the end of the day, speed is one of those things that m When you have two systems which can do the very same thing, atters. Then you care about the speed. If just one of the two systems can do your estimation, then it most likely doesn’t matter.”