Pioneering tech company infinityQ announced cloud access to its first-generation machine — intuitive, energy-efficient and computationally powerful — exploiting quantum effects to tackle real-world complex problems, unsuitable for classical computers.
infinityQ Technology, Inc., a women led, engineered and managed startup, announced its groundbreaking computer, infinityQube. The Montréal-based startup has coined its approach “quantum analog computing,” introducing a novel paradigm in the quantum space. The device is compact, energy-efficient and operates at room temperature, relying on established chip technologies.
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“We wanted to bring the computational power promised by quantum computing to the market today,” said Aurélie Hélouis, CEO and co-founder of infinityQ. “While quantum will eventually revolutionize computing, most experts agree that quantum devices will take another decade or more to mature. We, on the other hand, have developed a completely different approach — “quantum analog computing.” It is analog in two ways — referring to analogies with atomic quantum systems as well as to analog electronics. In practice, this means infinityQ develops computational capabilities by using artificial atoms to exploit the superposition effect and achieve quantum computing capabilities without the error correction and cryogenics tax. This allows the company to utilize several times less energy than a typical CPU and that its machine’s energy consumption is the same as a common light bulb.
Led by a former senior Navy officer, Aurélie Hélouis, and co-creator of both the Discoverer supercomputer and the infinityQube, Dr. Kapanova, infinityQ’s novel device is positioned to address some of the most challenging computational problems faced in enterprises, including finance, pharmaceutical, logistics, engineering, energy and more. While currently the company is focused on optimization problems, infinityQ is not limited to them.
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As a demonstration of its capabilities, infinityQ used its hardware to solve the Traveling Salesperson Problem for 128 cities while other non-classical machines have solved 22 cities maximum.
“Our technology’s additional advantages are two-fold. First, it can be integrated seamlessly into the existing HPC infrastructure,” said Dr. Kapanova, CTO of infinityQ. “But moreover, our quantum-analog approach is ideal for the era of edge computing due to its room-temperature capability and low energy requirements.”
With John Mullen, former Assistant Director of the CIA; Philippe Dollfus, Research Director at the Centre National de la Recherche Scientifique (CNRS); and Michel Kurek, both former Global Head of Algo Factory and Quantitative Trading for Societe Generale, on its advisory board, infinityQ has raised over $1 million USD in seed funding to date and is currently working with leading financial institutions and pharmaceutical companies on proofs-of-concept as investor-clients. Access to infinityQ’s hardware technology is available today via the cloud on an invitation-only basis.
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