Custom Development
We will identify, describe, document and code your algorithm ideas into algorithms for one week.
This service includes one full week of custom development effort, and is defined as a continuous 5 day period (e.g., Monday - Friday).
We work in Python in Jupyter Notebooks. We code our proprietary solvers into the notebooks along with code to run the D-Wave Systems quantum annealing computers. You may want to software engineer the code afterwards to harden and speed up the models.
We will apply our skills, experience, and knowledge of the D-Wave Systems quantum annealing computers as well as with coding and running classical solvers. We apply our domain expertise in financial services and equities.
We will work with your team as requested (independently or collaboratively). We can provide training and mentorship as requested.
We will leverage your expertise in coding these if/when we work together with your development or trading teams. We are happy to work with you in your facility (safely due to Covid 19), work on video, or work remotely against your specifications.
You receive and own the code and documentation that we built upon payment for the time you have purchased. If you pay in advance, you may request access to the code and documentation at any time.
You will need to license any third-party libraries, modules, functions or SDKs we utilize. If you choose to use our professional market data services provider, Intrinio, you will need to acquire a license for that data (optionally through us).
We would like to run and maintain the code we develop for you and provide management reports (for a fee) at your option.
We will invoice our time and bill any expenses as incurred, or you may pay for our time in advance through this website.
- Monte Carlo
- Genetic Algorithm
- Simulated Annealer
- Greedy (Gradient Descent)
- Simulated Bifurcator
- Particle Swarm Optimization
- TABU MultiStart
Our expertise has been sharpened with our focus on a stock portfolio optimization problem, and on a media / entertainment problem where we connect user (or individual) information and a universe of choices (worlds or songs). We helped our client use quantum computing to match those combinations in an optimal manner. In other words, we connected the player to the game.
We have experience working with the D-Wave Systems quantum annealing computers (Advantage 1.1 and 2000Q) and gate-based computers (IBM Q). We have a network of colleagues to staff larger projects.