My research contributions are at this confluence, where semiconductors, superconductors, and photonics converge and complement each other. My team at NIST is developing large arrays of superconducting single-photon detectors employing semiconducting circuitry to read out the signals from millions of pixels to achieve high-resolution, high-frame-rate imaging sensors. Such technology aims to observe the activity of each of the 10 billion transistors on a semiconductor processor chip during operation. We are also developing brain-inspired computational hardware to create artificial neurons that compute with superconducting electronics - the fastest, most energy-efficient known circuits - and communicate with light at the single-photon level. This technology appears capable of creating computational systems with the same number of neurons and synapses as the human brain, while operating 250,000 times faster. My research mission is to develop integrated semiconductor-superconductor-photonic hardware to serve the American semiconductor industry through precision measurements and to answer fundamental questions about the physical limits of cognition.