zapata labs

Our Home for Innovation.

Zapata Labs is the research division of Zapata AI and our home for innovation in generative AI, quantum computing, and other state-of-the-art computing techniques. We’re engineering the future of computing — while unlocking new breakthroughs that can deliver value to customers today.

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Research Focus Areas

Fault-Tolerant Quantum Computing

NISQ Heuristics

Physics-Inspired Techniques

Fault-Tolerant Quantum Computing

Fault-Tolerant Quantum Computing

We’re developing algorithms for the era of early fault-tolerant quantum computing (EFTQC) and estimating the quantum resources required for future applications involving chemistry, differential equations, linear algebra, and more.

NISQ Heuristics

NISQ Heuristics

We’re developing and benchmarking hybrid quantum-classical heuristic algorithms for machine learning and optimization that can leverage the quantum computing hardware available today.

Physics-Inspired Techniques

Physics-Inspired Techniques

We’re taking techniques from the world of quantum physics that can run on today’s most powerful classical devices, unlocking advantages for large language models, high dimensional integration, anomaly detecti`on, and more.
Featured Research
Exploring the Advantages of Quantum Generative Adversarial Networks in Generative Chemistry

Exploring the Advantages of Quantum Generative Adversarial Networks in Generative Chemistry

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Quantum-Inspired Optimization for Industrial Scale Problems

Quantum-Inspired Optimization for Industrial Scale Problems

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Quantum Algorithm for Credit Valuation Adjustments

Quantum Algorithm for Credit Valuation Adjustments

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Joint Research with Customers

Our research is the foundation for the commercial advantage we deliver to customers.

Defense Advanced Research Projects Agency (DARPA)

To better understand the future utility of quantum computers, DARPA awarded Zapata AI to build application-specific benchmark tests to compare the performance of different quantum hardware backends. DARPA is also interested in estimating the hardware resources that will be required for different high-utility quantum applications.

DARPA CASE STUDY

BP

Zapata AI has been collaborating with bp on research to study the viability of quantum chemistry use cases and develop new techniques to shorten the timeline to these use cases. In the years since we started collaborating, we’ve run over a thousand workflows and tens of thousands of hours of computing on our Orquestra platform to inform bp’s quantum roadmap.

BP CASE STUDY

BBVA

BBVA teamed up with Zapata to innovate a speedup over existing quantum algorithms for Monte Carlo simulations, which BBVA and other financial institutions use for credit valuation adjustment (CVA) and derivative pricing. This work shaved years off the timeline for when financial institutions can unlock real value from quantum computers.

BBVA CASE STUDY

“Quantum computers have immense potential to unlock value in use cases ranging from chemistry and materials discovery, drug discovery, machine learning and simulation, and we’re as committed as ever to unlocking that value.”

— Peter Johnson, Lead Research Scientist

 

 

Research, Explained

New Research Shows How Quantum Generative Models Can Outperform Classical Models →
We Found a Shortcut for Quantum Chemistry Applications →
Zapata Generates High-Resolution Images for the First Time Using a Quantum Computer →

 

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Research in the News
Zapata AI Earns Second DARPA Award for Quantum Benchmarking

Zapata AI Earns Second DARPA Award for Quantum Benchmarking

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Study Shows Promise of Hybrid Quantum Generative AI for Drug Discovery

Study Shows Promise of Hybrid Quantum Generative AI for Drug Discovery

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Zapata AI Research in Quantum-Enhanced Generative AI Published in Nature Communications

Zapata AI Research in Quantum-Enhanced Generative AI Published in Nature Communications

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