reimagining the analog paradigm to serve 21st century computation demands
infinityQ brings its quantum analog approach to market - bringing more computational power for a fraction of the energy consumption, with the same programming languages that you know and love
pioneering tech company infinityQ announces 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
digital transformation
can only go so far
chip miniaturization is hitting the Moore's law limit. these are some of the issues that classical systems are facing:
energy consumption - pre-exascale and exascale systems will consume several megawatts of power
time - the addition of millions of cores to a classical system (HPC) will result in large communication times between nodes
resilience - ensuring correct computational results in the face of increased hardware and software failure in an exascale system
the white space is loud and clear
computationally-intensive problems, such as drug design, call for a better approach to solving combinatorial problems. logistics and supply chain call for a better solution to optimize routing and supply/demand relationships. while the financial industry has invested billions in finding ways to reduce risk, diversify efficiently, and exploit arbitrage opportunities.
we specialize in quantum analog computing, exploiting the power of collective computing and qubit doppelgangers to solve seemingly impossible problems efficiently and with energy consumption of a house lamp
Our first chip has 100+ artificial atoms, connected in an all-to-all topology.
You can test the tech yourself via our cloud platform, which links directly to our prototype.
infinity Qube
meet
-
100 - 1000x computational speed up for optimization problems
-
capable of Monte Carlo simulations & True Number Generator
what's next?
meet C per
-
100 - 1000x computational speed up for optimization problems
-
capable of Monte Carlo simulations & True Random Number Generator
lean, green, and resilient
-
seamless integration with virtually no learning curve to the end-user
-
requires less energy consumption than a house lamp
-
robust architecture that runs at room temperature
Pleasant Title
-
seamless integration with virtually no learning curve to the end-user
-
requires less energy consumption than a house lamp
-
robust architecture that runs at room temperature
connect C per
to your infrastructure
-
'Plug-and-Play' via 1GB ethernet connectivity
-
seamless integration with HPCs management software
-
libraries in the main programming languages
the future is analog:
infinityQ pushes novel computing
"infinityQ has reached back into the 1980s for an energy model of optimization that can lead to quantum-style breakthroughs without needing a giant fridge of flaky and expensive hardware."
quantum analog in action: select use cases
We focus on problems that aren't natural for classical computers to solve. In addition to multidimensional optimization problems in logistics, finance, and pharmaceuticals, we are setting our sights now on Monte Carlo simulations and True Random Number Generators. Here are a few of the use cases we are working on with our first-adopters:
pharmaceuticals
-
docking
-
Density Functional Theory (DFT)
-
polypharmacy drug adverse effect predictions
logistics
-
travelling salesperson problem (TSP)
-
multimodal TSP
graph problems
-
max-cut problems
partnerships & ecosystem
the diverse and dynamic team behind infinityQ
our leadership has 50+ years of domain expertise across IT, HPC design, AI and quantum research for institutions such as Pratt & Whitney, the French Navy, CERN, Thales, EuroHPC, and Mila
