Compounding quantum simulations.
An open-source logging layer for quantum chemistry runs — capturing calibration data, optimization trajectories, and simulation records across ADAPT-VQE and QPE workloads.
"Transition metals, lanthanides, actinides. Our core area of interest."
01
Semiconductors
02
Energy Storage
03
Petrochemistry
04
Carbon Capture
05
Hydrogen
06
Agrochemistry
07
Nuclear Fission & SMR
08
Nuclear Fusion
09
Permanent Magnets
10
High-Tc Superconductors
11
Aerospace
12
Space Applications
13
Pharma & Metallodrugs
14
Asteroid Mining
15
Rare Earth Processing
As structural materials, reaction catalysts, active pharmaceutical ingredients, or functional electronic components — transition metals, lanthanides, and actinides appear across every one.
Different industries. Same class of computationally demanding quantum chemistry problems. One platform.
The platform
Noise profiles captured at run time, indexed by backend and qubit topology. Superconducting drift and trapped ion drift, each modelled on its own terms.
Full optimizer trajectories — parameter vectors, cost evaluations, convergence curves. Every mapped landscape seeds the next experiment.
Superconducting transmons, trapped ion, neutral atom. Optimization history that travels as hardware improves.
Molecular systems, active space configurations, energy results, fidelity scores. Quantum R&D that accumulates in value over time.
Run 50 converges faster than run 1. Quantum R&D becomes a compounding dataset.
∑Get started
$ pip install tensir