Your Partner in Accelerating Machine Learning and AI
Your one-stop-shop for quantum machine learning enablement for Life Sciences
Quantum Computing
Quantum computing is no longer a distant vision of the future—it’s already tackling complex problems without the need for fault-tolerant quantum hardware.
Quantum Machine Learning
Many QML algorithms don’t require advanced quantum hardware and are creating competitive advantage today within machine learning pipelines.
Life Sciences
Quantum machine learning is especially fit to address classical computing limitations across many life science areas such as drug discovery, clinical research, and diagnostics.
Accelerate Your Life Sciences Research with Our QML Training and AI Solutions
TRAINING PROGRAMS
Explore our variety of interactive workshops to empower you to confidently assess quantum’s potential and identify viable proof of concepts. Or, build a custom curriculum with any combination our learning modules, projects, exercises, and applications.
QML ENABLEMENT
We can help you identify a relevant use case for quantum machine learning with near-term advantage. With our team’s deep experience in cloud data platforms and quantum machine learning, we know how to effectively select a focused, tangible POC and integrate it tightly into your classical data ecosystem.
Explore Quantum ML Solutions for Biotech, Pharma, and Diagnostics
Our research covers world-class quantum solutions for prevalent challenges in oncology.
MEDICAL IMAGING
Explore our research on an end-to-end quantum machine learning pipeline that can process high-dimensional data more efficiently. Our pipeline will include: Medical imaging data (MRI or mammograms), a quantum filter to enhance image quality, and the ability to make predictions on tumor segmentation/classification.
BINDING AFFINITY
Explore our research on an end-to-end quantum machine learning pipeline that can better predict the binding affinity between a potential drug and target proteins. Our pipeline will include: PDB-bind data, a hybrid 3DCNN to accelerate the training process, a quantum fusion model to improve the accuracy. Altogether we will aim to improve prediction performance and decrease costs.
CLINICAL TRIALS
Explore our preliminary results for optimizing patient stratification in clinical trials. This can be formulated as a constrained optimization problem, minimizing discrepancies between patient groups. Quantum optimization algorithms can offer a powerful alternative to classical optimization software as the number of patients scale.
Learn Quantum Machine Learning with Python Exercises and Certification
Designed to bridge the gap between classical machine learning and quantum computing, these courses empower you with hands-on tools and insights to take your learning experience to the next level.
A quantum machine learning fundamentals introductory course for anyone to begin their QML journey, complete with exercises, visualizations, and assessments to test your learning.
Diving into quantum and quantum-inspired methodologies for medical image processing, classification and segmentation, this course offers machine learning professionals in healthcare a powerful toolkit to tackle these challenges.