IonQ Inc. in the present day announced introduced that it has acquired Entangled Networks Ltd., a startup that develops community expertise to interconnect quantum processors.
Phrases of the deal weren’t disclosed.
NYSE-listed IonQ develops quantum computer systems primarily based on trapped ion expertise. The expertise implements qubits, the fundamental constructing blocks of quantum computer systems, as ionized atoms. IonQ makes use of lasers to encode knowledge into these atoms, carry out calculations and skim processing outcomes.
IonQ presents three completely different quantum computer systems with various efficiency. The methods’ qubits are applied on a particular chip often called a linear ion lure, which operates in an remoted enclosure cooled to close absolute zero. The enclosure protects IonQ’s quantum computer systems from outdoors interference that may trigger processing errors.
IonQ’s most superior quantum laptop is named Aria. The corporate claims the Aria is the quickest industrial quantum laptop in the marketplace when evaluated towards the Algorithmic Qubits or AQ velocity metric. IonQ permits prospects to entry Aria by means of Microsoft Corp.’s Azure public cloud platform.
Aria is powered by a single quantum processor. Sooner or later, IonQ hopes to create a extra superior system that features not one however a number of quantum processors. The corporate’s just lately introduced acquisition of Entangled Networks will additional this effort.
Toronto-based Entangled Networks is growing expertise to interconnect quantum processors. The startup created a {hardware} module, described as an optical interconnect, that permits quantum processors to coordinate their work. Entangled Networks additionally presents software program instruments that promise to simplify a number of associated computing duties.
Entangled Networks’ software program portfolio features a compiler known as MultiQopt. A compiler is a program that builders convert software program code into purposes, or within the case of MultiQopt, purposes that may run on a number of quantum processors. Entangled Networks’ expertise not solely turns code into purposes, but in addition provides efficiency optimizations to hurry processing.
Connecting a number of quantum processors requires interconnecting or entangling their qubits by means of a phenomenon often called quantum entanglement. When sure properties of an entangled qubit are measured, the second qubit to which it’s connected adjustments. This alteration occurs immediately.
On the spot execution of sure computational operations involving entangled qubits permits quantum computer systems to carry out some kinds of computation shortly. In consequence, it’s believed that the large-scale quantum machines of the longer term will be capable of carry out very complicated calculations for even the quickest classical supercomputers.
Based on IonQ, the Entangled Networks group will proceed to work on quantum interconnect expertise and compilers after the acquisition. IonQ plans to make use of the startup’s software program to implement “important” efficiency enhancements to its {hardware}. As a part of its growth roadmap, the corporate additionally plans to introduce a prototype expertise for interconnecting two quantum processors later this yr.
“Partnering with Entangled Networks additional advances our purpose of constructing IonQ the world’s greatest performing quantum computing firm,” stated Peter Chapman, CEO of IonQ. “In buying Entangled Networks property, IonQ will profit not solely from a few of the greatest consultants in quantum structure, but in addition from the software program instruments we plan to make use of to ship important velocity will increase in our system efficiency.”
IonQ is likely one of the few corporations growing multi-chip quantum methods. In late 2021, Rigetti & Co. Inch. logged in An 80-qubit processor known as Aspen-M, consisting of two separate chips. Extra just lately, IBM Corp. introduced A quantum laptop enclosure that can make it attainable to interconnect quantum processors in a single system.
Photograph: “IonQ”
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