Quantum × Biology
Cascade Quantum is building a platform that lets quantum computers analyze and extract insights hidden in biological data—without requiring researchers to become quantum experts. Our priority is to build intuitive interfaces that put biologists on the path to leverage quantum capabilities today.
One Platform, Multiple Analyses
Explainable AI for biological prediction
Train a quantum model on multimodal biological data and identify which variables or interactions appear to drive a prediction.
Conditional generation
Use the trained model to generate samples conditioned on a target class or biological state.
Dependence and interaction analysis
Use the quantum model to study higher-order relationships between variables that may be difficult to capture with standard methods.
Resource estimation and benchmarking
Estimate what quantum resources are required to run increasingly useful versions of the workflow.
Predicting the extremes
See how strongly variables co-move in the extremes by modelling tail dependence better than classical gaussian copulas can.
Under the hood, our stack features
- Optimal classical → quantum data encodings that map high-dimensional multiomics data into expressive quantum states,
- Quantum neural networks architected to capture subtle biomolecular relationships, and
- Advanced training strategies that enable models to scale as datasets—and scientific questions—grow in complexity.
On our long-term roadmap lie problems such as
- Rare disease diagnosis
- Biomarker discovery
- Data privacy-protecting cohort simulation
- Longitudinal phenotype evolution
- De novo genome assembly
- Therapeutic design optimization
FOR PHARMA & BIOTECH
Deploy Quantum on Your Discovery Pipeline
Your biological data holds relationships that classical tools miss – higher-order correlations, tail dependencies, and more. Using your biological data in your environment, we can help you uncover correlations beyond those observable by classical techniques, model tail dependence, and much more on our platform Red Cedar.
With Red Cedar you can
- Train quantum models on your data with an easy-to-use UI, without any quantum expertise
- Go from your dataset to a trained model quickly
- Bring a real problem – gene-interaction structure, tail-risk modelling, subtyping – and test whether a quantum approach helps
- Run pilots on your use-case and co-author the results
Discovery Workshop
Start here.
A structured half-day session with your R&D team. We start with a presentation on where quantum computing has demonstrated real advantage, then open the floor: your scientists bring the problems they’re working on, and we work through together which ones are worth pursuing.
Pilot Project
Prove it on your data.
A 6 week engagement. We build generative or predictive quantum models on your real datasets, benchmark them head-to-head against your classical baselines, and project performance as hardware scales. Your data never leaves your control; results are yours to publish or keep.
Strategic Partnership
Build for the long run.
Multi-year co-development: dedicated research capacity, early access to platform capabilities, co-authored publications, and a quantum roadmap aligned with your therapeutic areas – so you’re first in line when hardware crosses the advantage threshold.
✓ Peer-reviewed methods
✓ Hardware-agnostic
✓ Your data stays yours
✓ Classical benchmarking
Request a Discovery Call
Get in touch and shape the future of quantum‑enabled biological research with us.
Research papers
Research Themes
Blog
What will it mean to create a new kind of intelligence – one that relies on quantum superposition and entanglement – which can discover patterns beyond the reach of classical logic? What unique approach will an intelligent quantum system take to problem-solving? Which currently intractable challenges in science, technology, and human society might suddenly become accessible?