Redefining possible with fault-tolerant quantum computing.

Fault-tolerant quantum computing (FTQC) has the potential to create value across industries through the accurate simulation of molecules and materials and the discovery of new drugs, chemicals, and advanced materials that would be difficult or impossible to develop using conventional computing.

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Finance

Finance

Derivative pricing, risk modeling, portfolio optimization

Infrastructure & transport systems engineering

Infrastructure & transport systems engineering

Buildings & infrastructure, automotive systems and components, aircraft, ships, heavy equipment for construction, agriculture and mining

Pharmaceuticals

Pharmaceuticals

Drug discovery and design, catalysis discovery for drug manufacturing, molecular modeling

Chemicals

Chemicals and agriculture

Catalyst design, fertilizer production, advanced sorbent materials

Energy

Energy

Batteries, Solar Cells, Sustainable Fuels, Nuclear Fusion

Security

Defense

encryption-resistant communication, aerospace materials, defense systems modeling

Fundamental Research

Fundamental Research

Biophysics, cosmology, materials science

Environmental

Environmental

Desalination, carbon capture, pollutant degradation

High-tech

High-tech

Semiconductors, electronics and microelectronics, photonics, and advanced manufacturing

Preparing for utility-scale quantum computing

At PsiQuantum, we focus our time on real-world challenges. Our Applications team works with experts to identify commercially valuable, technically feasible use cases for early-generation FTQC. We focus on “small data, big compute” problems like quantum chemistry simulations and high-dimensional PDE solving. Our end-to-end workflows ensure FTQC delivers meaningful, actionable results for our partners.

Applications Topics

Identify the highest impact use cases for an organization’s strategic priorities

Identify 01

Develop novel fault-tolerant quantum algorithms to solve the computational bottlenecks

Develop 02

Estimate the quantum resources required to deploy these algorithms on future utility-scale quantum hardware

Estimate 03

Optimize algorithms to minimize resources required and accelerate the path to commercial impact

Optimize 04

Case studies

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Mercedes Benz

Revolutionizing Li-ion battery design

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Boehringer Ingelheim

Optimizing drug design and effectiveness

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Hartree

Modeling high-temperature superconductors

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Our latest collaborations