memQ Closes $10M Series A to Build the Networking Layer for Distributed Quantum Computing
Funding Details
$10M
Series A
Chicago just keeps humming, and if you listen closely, you can hear it in wavelengths most people can’t see yet. memQ just pulled in $10M in Series A funding, and this isn’t another “AI for X” story dressed up in noise. This is infrastructure. The kind that decides who gets to play when quantum computing stops being a lab experiment and starts acting like a market.
Credit where it’s due. Manish Singh, PhD, co-founder and CEO, and Sean Sullivan, PhD, co-founder, took deep research roots out of the University of Chicago and Argonne National Laboratory and didn’t let it die in a whitepaper. They built memQ to move quantum out of isolation and into conversation. Quantonation and Ocean Azul Partners co-led the round, with prior backing from Exposition Ventures and the George Shultz Innovation Fund. The smart money here isn’t chasing noise. It’s buying signal.
memQ is working the layer most people ignore because it’s hard and not flashy. Networking. Their xQNA, Extensible Quantum Network Architecture, is designed to connect quantum systems over existing C-band telecom fiber. Translation without the fluff: instead of building entirely new highways, they’re teaching quantum machines to drive on roads we already paid for. That’s not just efficient, it’s the difference between theory and deployment.
The stack goes deep. Quantum Network Interface Controllers, quantum memory modules, control systems, and a distributed quantum compiler. Each piece doing its job so quantum processors can actually talk, coordinate, and scale. Not in the same room, not even on the same hardware. Distributed, asynchronous, and very real. If compute was the first act, networking is the part where things either compound or collapse.
The play here is subtle but sharp. memQ isn’t trying to win the quantum computer race. They’re building the connective tissue that lets multiple systems win together. That’s a different kind of leverage. The kind that ages well.
And there’s a lesson buried in the physics. They didn’t chase market size headlines or dress up prototypes as products. They stayed close to the constraint, leaned into existing infrastructure, and built where the real friction lives. Turns out, when you solve the part nobody glamorous wants to touch, investors show up with conviction instead of curiosity.









