Bringing the "Q" Back to Quantum Startups

🌠 Tracking the Q: Quantagonia and Quside ∞

Quside, Barcelona. (2023)

Hey Everyone,

As startup funding has slowed down considerably in Quantum, don’t count Europe out yet. Frankfurt based Quantagonia and Barcelona based Quside both got funding recently. They are both super early stage, but illustrate how Europe is trying to catch up with the U.S., the UK and places like Israel and Australia in Quantum tech innovation.

• Quside added new investors to the last year’s funding round, extending its series A funding, according to a blog post.

• The company’s Series A now exceeds €10 million in funding.

• Critical Quote: “Quside has a world-class team, excellent stakeholders and with a unique product offering, have the potential to redefine the industry standards. We are confident that Quside’s strategic approach and cutting-edge technology will drive their success and establish them as a leader in the quantum technology industry.” — Emilio Gómez, Investment Director at Catalan Institute of Finance.

But I actually think the Frankfurt company is the more interesting.

On July 4th, 2023 Quantum computing software startup Quantagonia GmbH said today it has completed its seed funding round, which combined with an earlier pre-seed round brings its total amount raised to €4.3 million (around $4.68 million).

Germany and France feel a little bit behind some of the leading countries in Quantum computing innovation, and I’m curious to see if they can catch up.

Quside, the spin-off of the Institute of Photonic Sciences (ICFO) of Barcelona that offers advanced randomness solutions for the cybersecurity and high-performance computing markets. But Quantagonia is a bit more directly related to Quantum computing.

• Quantagonia’s Hybrid Quantum Platform (HQP) provides businesses with an easy on-ramp to quantum and hybrid computing, delivering value today while helping to generate first-mover advantages for users as quantum computers continue to develop.

• HQP does this by accepting x86, optimization, simulation, and ML/AI model code, analyzing and transforming that code for optimal use across available HPC and quantum hardware, and then orchestrating the use of that hardware.