Featuring state-of-the-art quantum-ready computational engines, the Core accelerates your time-to-results while delivering more and better solutions for your optimization problems.
The Core integrates specialized mathematical operations with complex constrained optimization techniques to deliver fast, excellent results.
It automatically transforms today’s real-world problems into quantum-ready requests and processes those requests on classical and/or quantum processors. No programming required.
You stay focused on solving your problems, not learning a complicated new programming paradigm and complex mathematical operations.
Qatalyst features a variety of complex mathematical modules to prepare, optimize, iterate, and solve complex computations. For example:
Advanced mathematics compress and simplify the problem prior to QUBO application. The Core applies these advanced mathematic techniques, based on the type of problem and processing required.
Once requests are submitted for processing, results are iteratively optimized using advanced mathematics as part of the quantum processing flow. When the best results are identified, the Core returns the results in the desired format.
Sampling Quadratic Unconstrained Binary Optimization Algorith (QUBO)
The Core automatically maps real-world problems into
physics-based problems in a multi-dimensional space that quantum computers require for processing. QUBOs represent the quantum problem, which is a result of the transformation of binary requests into the multi-dimensional space of quantum physics. QUBOs are the native format used by annealing quantum computers, such as D-Wave.
Qubit control for diverse QPU access
Qatalyst controls both the physical and logical qubits, maintaining strict chains of computation. These controls apply to three different computing paradigms; gate models, annealers, and classic computers. As a result, Qatalyst automates and can eliminate the hardware limitations often caused by physical to logical mapping of qubits. It also eliminates the need for low-level hardware programming and reprogramming, accelerating time to results while dramatically reducing overall application development and lifecycle costs.
Sampling QUBOs with the Quantum Approximate Optimization Algorithm (QAOA)
Qatalyst automatically applies the QAOA algorithm to previously defined QUBOs.
This algorithm optimizes problems for submission to gate model quantum computers, such as Rigetti, IBM, and IonQ.
Any problem request that your SME, application, or workflow defines can be processed on classic or quantum computers, seamlessly. No new programming, no coding for different hardware.
Qatalyst's powerful engines will submit problems to whichever processor, or processors, you define in the simple Q API call. Run on multiple systems to benchmark results, learn about differences in problem tuning for best results, and more.
Explore our QikStart program, including access to Qatalyst, Quantum experts and resources to create your first quantum-assisted results. All on us.
Click below to apply for this program.