Quantum Algorithms

Accelerating High-Dimensional Problem Solving with Quantum Computing

Tahoe Quantum leverages cutting-edge quantum algorithms to tackle complex problems that are infeasible for classical computers. Our mission is to accelerate the practical application of quantum computing by bridging the gap between academia and industry through strategic partnerships, research collaboration, and community engagement.

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Team

Our Team

Will Araujo

Will Araujo

Founder

Former VP of Autonomous Vehicle Development at General Motors/Cruise

Pranav Parakh

Pranav Parakh

Technical Lead

Ph.D. Candidate, Applied Physics, Stanford University

Ross Burgess

Ross Burgess

Operations Lead

R&D Management and EV Production at Tesla and General Motors/Cruise

Our team taps a talent-dense network of quantum researchers across leading institutions and private companies to accelerate real-world impact.

Approach

What We Do

Today’s toughest optimization problems push classical computers to their limits. When thousands of variables interact, even the best systems rely on approximations, producing “good enough” answers instead of the best possible outcome. Tahoe Quantum works with partners to identify high-impact problems like these and apply quantum computing—paired with classical methods—to search for better solutions. We design and test quantum algorithms on high-fidelity simulators and run them on real quantum hardware as it becomes available.

We are building quantum-enhanced optimization tools for key industries: logistics, insurance, energy, and finance to tackle challenges like resource allocation, routing, scheduling, and risk assessment across high-dimensional datasets (from geospatial signals to portfolio optimization).

Focus Areas

  • Industries: logistics, insurance, energy, finance.
  • Challenges: routing, scheduling, resource allocation, risk assessment.
  • Data: high-dimensional data from varied sources including geospatial signals, financial institution datasets, and even modern AI pipelines that need optimization.
Hybrid quantum-classical High-fidelity simulation Quantum R&D testing
Use Case

Wildfire Response

Wildfire smoke over hills

Wildfires are a growing threat, and optimizing first-responder placement can save lives. At Yale University’s YQuantum 2025 hackathon, Tahoe Quantum sponsored a “Wildfire Response” challenge.

We posed a question for researchers that hailed from all around the world: How can we predict when the next wildfire will break out and effectively optimize our first response? Read More...

Contact

Contact Us

Ready to learn more or explore a partnership? Book an intro video call or email us at info@tahoequantum.com.