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TIME named Qunnect’s Qu-MEM to its 2026 Best Inventions list in the Experimental category. The room-temperature quantum memory grew from patented Stony Brook University research and is being deployed on networking testbeds in New York and Europe; its broader performance and commercial impact remain to be established.

TIME has named Qunnect’s Qu-MEM, a room-temperature quantum memory developed from patented Stony Brook University research, to its Best Inventions of 2026 list. The device was selected in the Experimental category, which recognizes concepts and prototypes with future potential, and is being deployed on quantum networking testbeds in New York and Europe.

Qu-MEM is designed to store and retrieve quantum information and operate with existing fiber-optic infrastructure. The source report describes it as an on-demand, warm-vapor device using neutral atoms and housed in a standard server rack. Those features are intended to make it usable alongside conventional fiber systems as researchers work to connect quantum devices over networks.

The technology grew out of research led by Stony Brook physicist Eden Figueroa and former graduate students Mehdi Namazi and Mael Flament. Stony Brook patented the underlying work and licensed it to Qunnect, the company co-founded by Figueroa, Namazi and Flament. Namazi is Qunnect’s chief science officer and Flament its chief technology officer, according to the source material.

Qunnect’s systems are being deployed on networking testbeds in New York City, Long Island and Europe. The source also describes integration with the New York State Quantum Internet Testbed, which involves Brookhaven National Laboratory, SUNY institutions and private universities. The report does not provide deployment totals or measured performance results.

At a glance
announcementWhen: Named to TIME’s 2026 list; reported Oct…
The developmentTIME included Qunnect’s Qu-MEM, a commercial quantum memory developed from Stony Brook-patented technology, in its Best Inventions of 2026 list.

A Memory Component for Quantum Networks

Quantum memories are intended to hold quantum information so that network components can coordinate its use rather than relying only on signals moving directly between locations. A device designed to work with existing fiber-optic infrastructure could help researchers test ways of extending quantum links without requiring an entirely separate physical network.

The TIME recognition is a sign of public attention, not evidence that a practical quantum internet is already operating at scale. For Stony Brook, the development also illustrates a route from university research to a licensed commercial product. The testbed deployments provide settings for evaluating the technology, but the source material does not establish how well it performs in routine or large-scale use.

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From Stony Brook Research to Qunnect

Stony Brook’s work on Qu-MEM was led by Figueroa with Namazi and Flament, then graduate students. Their research became the basis for a patented technology that was licensed to Qunnect. The company’s product is presented as a commercial device derived from that university research, rather than a separate invention unrelated to the campus work.

The source says Qu-MEM is part of Stony Brook’s SCY-QNET and the New York State Quantum Internet Testbed. University President Andrea Goldsmith described the network as using fiber and wireless links to communicate quantum information through entangled photons. Claims in the supplied material about the network’s size and future expansion are statements from university officials; independent comparative data was not provided.

““Qu-MEM is a market-first quantum memory invention.””

— Stony Brook University President Andrea Goldsmith

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Performance and Scale Still Need Testing

The source material does not provide independent measurements of Qu-MEM’s storage duration, retrieval efficiency, error rates, capacity or performance under operating network conditions. It also does not specify how many devices are deployed, which testbed trials have been completed, or whether those trials have demonstrated sustained service beyond research settings.

The TIME selection is in an Experimental category for concepts and prototypes with future potential. It should not be read as confirmation that a nationwide quantum internet is available or that the technology has established commercial-scale use. Claims describing Qu-MEM as the first or a market-first commercial room-temperature memory are attributed to the university and company materials supplied for this report; no independent verification was included.

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Testbed Work Will Shape Deployment

The next stated step is continued testing and deployment through quantum networking testbeds in New York and Europe. Stony Brook says it plans to expand its network first to upstate New York and later more broadly, but the source does not give a schedule, funding plan or deployment milestones for that expansion.

Further evidence from testbed operation could clarify how reliably Qu-MEM stores and retrieves quantum information and how it performs when connected to existing fiber systems. The supplied report gives no timetable for additional results or for commercial expansion, so the pace and scale of the next phase remain open.

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Key Questions

What is Qu-MEM?

Qu-MEM is a quantum memory device developed by Qunnect from patented Stony Brook University research. It is designed to store and retrieve quantum information at room temperature.

What did TIME recognize?

TIME included Qu-MEM in its Best Inventions of 2026 list, in the Experimental category for concepts and prototypes with future potential.

Where is Qu-MEM being tested?

The source says Qu-MEM systems are being deployed on networking testbeds across New York City, Long Island and Europe, including work connected with the New York State Quantum Internet Testbed.

Does the TIME selection prove Qu-MEM is ready for large-scale use?

No. The recognition is not a performance test. The source material does not give independent results on the device’s capacity, reliability or large-scale operation.

Source: rss

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