LOW-TEMPERATURE PHYSICS
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.
NEUROFIDELIC COMPUTING
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.
QUANTUM INFORMATION SCIENCE
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.
SUPERCONDUCTING DEVICE PHYSICS
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.
TRUSTWORTHY COMPUTING
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
Press Release
Detecting Hidden Signals
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In a new paper, a Johns Hopkins APL research team explained how they applied two theoretical tools of quantum information to extremely sensitive signal detection tasks. Their research suggests that honing this sensitivity to detect signals while rejecting background noise will enable the use of quantum detectors even when this surrounding noise is strong relative to the signal of interest.
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News Story
Turning Down the Noise with Quantum Control
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Quantum computers might be the key to developing everything from better materials to novel medical drugs, but they’re currently hampered by environmental noise. APL researchers are building the tools to overcome this problem by leveraging their expertise in a field that many here are quite familiar with: control theory.
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Press Release
Training a Dragon: Protecting Quantum Algorithms on “Noisy” Computers
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For years, APL has applied its expertise to protecting quantum computers from a challenging issue called decoherence, errors that arise when the building blocks of quantum computing lose information to their environment. Researchers are now testing strategies for combating these errors to improve the performance of quantum algorithms on noisy intermediate-scale quantum computers.
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