Quantum Computing for CO2

Capture and Climate Solutions

At QNS, we are advancing the science of carbon capture and climate remediation bydeveloping quantum algorithmic solutions that transcend the limitations of classical simulation. Our platform delivers highly accurate, quantum-enhanced tools to design, model,and optimize materials critical to CO2 adsorption, separation, and conversion—paving theway toward a decarbonized future.

Our Mission

We aim to accelerate breakthroughs in carbon capture technologies through quantum computing, enabling researchers and industries to simulate complex molecular interactions and surface phenomena with unprecedented fidelity and scale.

Our Vision

As the urgency of the climate crisis deepens, QNS is committed to delivering scalable, quantum-driven innovation that fuels the carbon management technologies of tomorrow.We believe that quantum computing is not just a computational upgrade—it is aparadigm shift in our ability to engineer the materials that will clean our atmosphere andsecure a sustainable future.

Our Capabilities

Quantum Simulations of Adsorption Sites

Using OpenVQE package having tools that support Variational Quantum Eigensolvers (VQE), we model CO2 interaction with advanced materials such as metal-organic frameworks (MOFs) and zeolites.

Catalyst Discovery for CO2 Conversion

Employ quantum chemistry routines to simulate reaction pathways for CO2 electroreduction and thermochemical conversion to fuels and value-added chemicals.

Molecular Design for Direct Air Capture (DAC)

Develop quantum algorithms to explore functionalized ligands and hybrid sorbents with superior CO2 binding affinity.

Applications

Accelerated screening of sorbents with tunable surface chemistry.

Simulation of adsorption selectivity under high-temperature and high-pressure industrial conditions.

Quantum-based prediction of electrocatalyst efficiency for converting CO2 into methanol, ethylene, or syngas.

Scientific Foundations

Our approach is grounded in pioneering research and algorithmic innovation, including:

J. Ollitrault et al., “Molecular simulations for carbon capture on noisy quantum

devices” (Chem. Sci., 2021)

S. McArdle et al., “Quantum computational chemistry” (Rev. Mod. Phys., 2020)

S. Bauer et al., “Quantum Algorithms for Quantum Chemistry and Quantum Materials
Science” (Chem. Rev., 2020)

These studies demonstrate the quantum advantage in simulating electron correlations and adsorption energetics in complex systems relevant to CO2 capture.