Scaling solid-state quantum processors to a useful threshold while maintaining the requisite precision in quantum control remains a challenge. We propose a quantum metal-oxide-semiconductor (QMOS) architecture operating at cryogenic temperatures that is based on a network/node approach as a means to scalability. By working with QMOS, we benefit from the deep investments and advances that have been made in conventional CMOS device processing, and natural compatibility with CMOS integration. The architecture uses one of the most promising error correction schemes: topological stabilizer codes acting on a two-dimensional qubit arrays, also known as surface codes. The network/node approach is advantageous because it separates the surface code operation into two fundamental parts: local node operations involving a handful of qubits, which should be feasible to demonstrate in the near-term, and medium range entanglement distribution based on electron shuttling, which is challenging but can be developed in parallel. A major focus of this project is to simplify QMOS devices – reducing the number of gate electrodes per device, even down to a single electrode. The team led by Dr. Baugh with collaborators Dr. Lan Wei and Dr. Michel Pioro-Ladrière combines expertise in electrical engineering and CMOS integrated design, QMOS fabrication and physics. By testing the viability of a network/node approach, this project charts a path toward a large-scale quantum information processor in silicon.
Molecular Scale Magnetic Resonance Imaging
Through its phenomenal ability to image soft tissues, magnetic resonance imaging (MRI) has revolutionized both clinical medicine and research biomedicine.
September 9, 2016
Implementing High-fidelity Quantum Gates in Multi-level Trapped Ions
Summary The scalability of quantum processors is limited by current error rates for single-qubit gates. By encoding more than a single bit of information within a single ion, multi-level “qudits” offer a promising method of increasing the information density within a quantum processor, and therefore minimizing the number of gates and associated error rates. […]
July 30, 2018
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 Simulations of Fundamental Interactions
Summary To address questions in modern physics such as “what is the structure of matter inside neutron stars?” we need better computational methods to evaluate the interplay of fundamental forces between elementary particles. To-date the response to such questions rests on numerical computer simulations that are inherently limited. In this project, we develop new theoretical […]
April 18, 2019