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.
Distributing Multimode Entanglement with Microwave Photons
Microwaves have enabled numerous classical technologies, in part because they propagate through air with little energy loss.
March 6, 2017
Composite Superconductors for Improved Quantum Coherence
Summary Conventional superconductors have trouble performing well in magnetic fields required for electron spin resonance (ESR) – based quantum information processing applications. We can, however, use proximity engineering to select desired properties from different materials and combine them for improved superconducting performance in magnetic fields — an improvement that would have strong implications for […]
December 12, 2018
Materials for Majorana-based Topological Qubits
Summary Topological qubits offer a novel pathway to scalable quantum computing by simultaneously allowing for ease of coupling between qubits and strong decoupling of qubits from noise and dissipation. The most promising direction explores the topologically induced protection of theoretically predicted exotic quasiparticles, the so-called Majorana Zero Modes or MZMs. To-date MZMs, which follow […]
January 28, 2019
Reliably operating noisy quantum computers
Summary The overall goal of the project is to develop practical methods to be able to reliably run useful applications on near-term quantum computers. This requires identifying and overcoming the ubiquitous errors that currently limit quantum computing capabilities. Traditional methods of quantifying errors in quantum computers fail to predict how errors affect the output of […]
January 22, 2020