The quantum revolution
is coming REAP its benefits now
Surpass the technical abilities of the most powerful supercomputers with modestly powerful quantum computers.
Machine learning
Replace traditional processes with quantum machine learning algorithms to accelerate capabilities such as feature mapping, regression, clustering, and more.
Sampling and simulation
Break technical barriers presented by classical computers to achieve unparalleled research growth in information-heavy industries like material science, chemistry, and structural engineering.
Optimization
Maximize resource use with optimized business processes, logistics, and greater operational insight.
Life science
Reduce the lead time from drug discovery to launch by allowing quantum computing to take over resource-intensive tasks such as protein structure prediction and protein engineering and design.
Material science
Effectively and accurately simulate materials and nature to develop new materials with minimal impact on the environment.
Developing better batteries and fertilizers is just the beginning. Room temperature superconductors will help introduce smaller and more efficient quantum computers.
Finance
Classical problem-solving and portfolio analysis are highly complex and time-consuming. Quantum computing gives finance businesses the power to ingest and analyze information at an unprecedented rate.
Improve risk profiling by supercharging current simulation methods with quantum computing techniques. Quantum Monte Carlo simulations run by IBM are already demonstrating how businesses can improve option pricing.
Logistics and supply chain management
Analyzing operational processes accurately and effectively requires significant computing power. Enable your computational processes to keep pace with business growth.
Solve optimization problems in record time with quantum machine learning algorithms delivering optimal solutions to business leaders.
Suraj Amonkar
Suraj Amonkar
Chief AI Research & Platforms Officer