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Rigveda Inc. applies explainable AI to address the opacity of quantum architecture search, aiming to replace black-box solutions with transparent models that accelerate algorithm validation. By lowering the expertise barrier for developing quantum circuits, this approach directly targets a critical software bottleneck in the maturation of fault-tolerant quantum computing. The initiative represents a significant convergence where advanced machine learning techniques are used to democratize and optimize core quantum development workflows.

Sources coveringQuantum Zeitgeist, Quantum Computing Report, The Quantum Insider, Latent Space

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Mines alumni build AI that explains quantum circuits

Quantum ZeitgeistOctober 13, 20264 min read

Mines alumni Sean Feeney MS ’23 & Scott Pollan MS ’23 founded Rigveda Inc., using AI to make quantum circuits more understandable, overcoming software bottlenecks.

Sean Feeney MS ’23 and Scott Pollan MS ’23, both Mines alumni, founded Rigveda Inc. after recognizing how maturing artificial intelligence tools like ChatGPT could accelerate development in quantum computing. Currently, teams of experts require months to customize each quantum algorithm for specific industry applications, a bottleneck Rigveda Inc. aims to resolve with explainable AI. “Quantum hardware is maturing, and we think in the next five to 10 years, we’re going to have fully fault-tolerant quantum computers that…

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