Quantum Computing Approach to Atomic and Molecular Three-Body Systems
High-precision quantum simulations of few-body atoms and molecules using advanced variational methods for electronic structure.
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Partners
WYW builds hybrid quantum-AI methods for real molecular and materials problems — and helps teams identify the right computational path before they invest in the wrong stack.
Classical · AI · Hybrid · Quantum — matched to the science, not the hype.
Every method adds another decision. The wrong one slows progress.
Reliable and well understood, but scales poorly as system complexity grows.
Fast and data-driven, but limited by training data and physical accuracy.
Combines strengths of classical and quantum resources, but requires expert tuning.
Unmatched potential for specific problem classes, but readiness varies by use case.
The wrong path wastes time, budget, and scientific momentum.
One framework to evaluate the scientific problem and recommend the strongest computational method.
Analyze complex molecular and materials problems to understand what is actually being asked of the computation.
Recommend the most appropriate workflow across classical, hybrid, and quantum methods to make the right architectural choice.
Develop scalable quantum algorithms, including VQE and SQD, tuned to realistic molecular problem sizes.
Design algorithm pipelines tuned for near-term quantum hardware, validated against real molecular simulation problems.
We're building the core WYW platform — the tool that turns this framework into an interactive decision engine.
We're shaping the core experience behind the scenes with our early partners and will share access as it's ready. In the meantime, get in touch and we'll walk you through the approach directly.
WYW focuses on problems where advanced computation can create meaningful scientific value — today.
Molecular simulation and optimization for complex candidate search spaces.
Advanced simulation for complex materials and molecular systems.
Simulation and optimization for demanding chemical process systems.
Improving variational quantum eigensolver methods for larger, more realistic molecular systems.
Extending sample-based quantum diagonalization to handle strongly correlated electronic structure.
Tightly coupling classical HPC pipelines with quantum subroutines for production workflows.
Deploying validated workflows across pharmaceutical, materials, and chemical engineering partners.
WYW works closely with the OpenVQA community, an open-source project focused on advancing variational quantum algorithm research. It's where much of our early methodology is developed, tested, and shared.
Our team contributes core algorithm work back to the community so the broader quantum chemistry field benefits from the same methods we build on.
Learn more →
Selected quantum chemistry papers and research contributions from WYW’s scientific work.
High-precision quantum simulations of few-body atoms and molecules using advanced variational methods for electronic structure.
Read paper →Quantum science, AI, and engineering.
