Research and Exploratory Development

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An APL employee working on a quantum experiment

Alternative Computing Paradigms

Our team specializes in a diverse portfolio encompassing research in low-temperature physics, trustworthy computing, and quantum information science.

Acting Program Manager: Joan Hoffmann
Assistant Program Manager: Christopher Watson

Focus Areas

Understanding evolving and emergent properties at cryogenic temperatures

Materials and devices exhibit new, even emergent behavior as we decrease temperatures as low as 10 millikelvins. For example, topological materials may provide revolutionary methods for quantum information manipulation.

Leveraging biofidelic concepts for elegance and efficiency in artificial computation

Natural neural systems perform with elegance and efficiency unmatched by brittle, power-hungry artificial computing devices. We seek to realize a new generation of computing, drawing upon the design principles of neural systems, to imbue human-made devices with the function of natural systems.

Harnessing quantum phenomena for novel capability across platforms

Much of our research addresses noise in quantum systems: developing tools and methodologies to characterize, control, and mitigate noise in order to exploit quantum systems for computation and sensing. Our theory and experimental teams work closely to rapidly translate new ideas into reality.

Exploiting robust quantum systems for computing and sensing

Superconducting devices offer an accessible platform for exploiting quantum phenomena for new capabilities in computing and sensing. Applications range from qubits to magnetic field sensors to primary thermometry.

Securing today’s computing systems for trusted capability

Electronic system security, encompassing both hardware and software, is key to making effective use of available computing resources. Of particular interest are novel approaches to dynamic reverse engineering and applications of additive manufacturing.

Research Highlights

Optimal Control for Quantum Detectors (Nature Portfolio, March 25, 2021)

Team Finds an Easier Optimal Detection Scheme for Near-Term Quantum Sensors (, March 25, 2021)

How to Enable Quantum Computing Innovation Through Access (The Brookings Institution, January 27, 2021)

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