Quantum Annealing

Quantum Annealers are now performant enough to solve useful business problems. Annealers are primarily useful for combinatorial optimizations, such as:

• Minimization - ex: Machine Learning, Traffic Flow Modelling
• Knapsack problems - ex: financial portfolio strategies, logistics decisions
• Resource scheduling - ex: allocation maximization, manufacturing flows

Here's how we'll help you harness the power of annealing:

1. We work with your subject matter experts to formulate your problem correctly. Typically, annealing minimizes a binary optimization. It may not be optimal for classical computing (and therefore unintuitive if you are new to quantum), but many problems can be formulated as binary optimizations.
2. We help you select an annealing hardware partner and integrate with their technology. You do not need any new hardware.
3. We deliver production-ready code that will operate seamlessly with your current solution and tech stack.

Gate-Based Computing

Gate-based machines require much more qubit control than annealers. This control will enable world-changing possibilities in many industries, but that control is also the reason that gate-based Quantum Computers are not yet large enough to fulfill their most impactful potential.
However, those who simply wait will be disadvantaged. Understanding how to formulate and use quantum algorithms is a dense task, crossing computer science, data science, and some quantum mechanics.

Here's how we'll help you prepare for gate-based Quantum Computing:

• We work with your subject matter experts to identify the quantum applications that are most impactful to your business
• We develop POC's with production-ready code and using quantum simulators. These can port to real Quantum hardware the instant it is available.