Documented case studies, technical research, validation results, and reproducibility evidence providing the highest level of publishable technical detail on Stellora.AI technologies, architectures, methodologies, and quantum-computing workflows.
Case Study 2: Ground-State Energy Estimation of the Hydrogen Atom Using Stellora.AI Quantum Flow
From scientific theory to real quantum hardware: Case Study 2 follows Stellora.AI Quantum Flow, under scientific guidance, through atomic-hydrogen energy estimation—from classical variational optimization to five-qubit circuit generation, simulation-based validation, and IBM Quantum execution. In the strongest within-run comparison on the ibm_fez backend, the optimized implementation achieved 78.3% fewer two-qubit gates, approximately 73.4% lower circuit depth, and around 75% smaller measured energy deviations from the reference than the same-run baseline. Explore the documented workflow, generated code, and hardware results.
▣ [Read / Download Case Study 2 (rev. 3.2) – PDF]
Case Study 1: Synthesis of a VQE Quantum Circuit Using Stellora.AI Quantum Flow
This case study documents a research-to-execution experiment in which Stellora.AI Quantum Flow transformed a controlled corpus of scientific literature, quantum-computing research, and version-specific Qiskit documentation into an executable six-qubit variational quantum workflow. The study includes real IBM Quantum QPU execution, post-run validation, identified implementation limitations, and reproducibility evidence.