Reynolds Earns $5,000 Martinis Grant for Qubit Control

Mia Reynolds Wins John Martinis Grant for Qubit Control Research

Mia Reynolds, a Ph.D. candidate in the Electrical and Computer Engineering department at Florida A&M University, has been awarded a $5,000 research grant from Qolab’s John Martinis Grants for Experimental Superconducting Device Physics. The grant, presented at the Adaptive Quantum Circuits Conference in October 2026, recognizes her work on engineering radio‑frequency microwave pulses to improve the precision and efficiency of qubit control across multiple scales.

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Why Microwave Pulse Engineering Matters

Qubit control is a central bottleneck in building reliable quantum processors. Unlike classical bits, which are either 0 or 1, qubits can exist in a superposition of both states, enabling exponential computational power—but only if they can be manipulated accurately. Reynolds’ project focuses on shaping microwave signals so they interact with superconducting qubits in a more predictable way. By fine‑tuning pulse amplitude, duration, and frequency, her approach aims to reduce control errors that currently limit coherence times and gate fidelities.

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Grant Resources and Collaborative Support

The $5,000 award grants Reynolds access to Qolab’s cloud‑based quantum computing platform, providing a sandbox for testing pulse sequences on simulated and real hardware. In addition, she benefits from mentorship by Professor Bayaner Arigong and collaboration with fellow doctoral student Jonathan Casamayor. This supportive environment is helping her translate theoretical pulse designs into experimental protocols that can be deployed on existing superconducting processors.

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Potential Impact on Fault‑Tolerant Quantum Computing

Improved qubit control directly contributes to the broader goal of fault‑tolerant quantum computing. By lowering the error rates of individual gates, Reynolds’ work reduces the overhead required for quantum error‑correction codes, making large‑scale quantum algorithms more practical. The long‑term vision is to enable quantum processors that can reliably tackle applications in cryptography, drug discovery, and materials science.

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Looking Ahead

Reynolds is optimistic about the growing talent pool in quantum research and sees her grant as both a personal milestone and a stepping stone for the field. With continued access to advanced simulation tools and a collaborative lab environment, she plans to publish her findings and explore how machine‑learning techniques might further automate pulse optimization. Her work exemplifies how targeted, modest funding can accelerate progress toward the next generation of quantum technologies.

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This article is based on the press release from Florida A&M University and the Adaptive Quantum Circuits Conference.