In this project, we develop novel superconducting qubits for error-corrected processors to enable large-scale quantum computing. Our design efforts will specifically target error-corrected architectures through a variety of paths. Possible features will include built-in parity measurements and the use of bosonic codes, such as Fock state and Cat codes, as our starting focus. Early on, we will fabricate “generation one” devices and conduct spectroscopic measurements and time-domain measurements on single qubits. Later, we will evaluate two-qubit gates and then move forward with a multi-qubit, error-corrected processor, with comprehensive error diagnostic and error suppression methods to optimize performance. The final goal is the experimental realization of a 50-qubit processor with error correction to demonstrate a practical superconducting architecture.
Novel Infrared Camera Based on Quantum Sensors for Biomedical Applications
Summary In this project we develop a novel infrared camera with low noise and high detection efficiency for biomedical applications of optical coherence tomography (OCT) using quantum materials. OCT is a technique used to image the back of the eye and allow for the diagnosis of detrimental eye conditions, for e.g., macular degeneration, diabetic retinopathy […]
March 13, 2019
Quantum Simulation of Strongly Coupled Field Theories
Strongly-coupled field theories describe both fundamental and applied quantum problems.
August 10, 2017
Cryo-CMOS to Control and Operate 2D Fault-Tolerant Qubit Network
Summary Large-scale, fault-tolerant quantum computation requires precise and stable control of individual qubits. This project will use complementary metal-oxide-semiconductor (CMOS) technology to provide a cost-effective scalable platform for reliable and high-density control infrastructure for silicon spin qubits. We will use sub-micron CMOS technology to address device and circuit-level challenges and explore the integration of […]
June 14, 2018
Building Blocks for Quantum Neuromorphic Computing: Superconducting Quantum Memcapacitors
Quantum neuromorphic computing (QNC) is a novel method that combines quantum computing with brain-inspired neuromorphic computing. Neuromorphic computing performs computations using a complex ensemble of artificial neurons and synapses (i.e., electrical circuits) to emulate the human brain. QNC may lead to a quantum advantage by realizing these components with quantum memory elements, or memelements, which […]
June 12, 2023