Summary
Coherence is essential for quantum computation; yet it introduces a unique sensitivity to any imperfections in hardware design, control systems, and the operating environment. Overcoming these sensitivities requires a hierarchy of strategies, ranging from optimization of the hardware architecture to software solutions including quantum error correction. Randomized Benchmarking Protocols are an important family of tools (developed mostly here in Waterloo) that have become widely adopted to characterize and optimize the performance of one- and two-qubit quantum gates. Moving beyond the current state-of-the-art, we are developing and applying protocols that can characterize, optimize, validate, and certify the overall performance of a many-qubit architecture. We are also working to develop the diagnostics that will guide the design of multi-qubit quantum processors, for example, by clarifying how the quality of quantum control scales with the number of qubits. Ultimately, we expect that this work will sharpen our understanding of the required resources for quantum computation to outperform classical systems.
Related Content

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
Advanced microwave electronics enabling quantum technologies
Summary Superconducting quantum computers require quantum-limited measurements at microwave frequencies in order to implement error correction. Conventionally, this is accomplished using near quantum-limited Josephson Parametric Amplifiers (JPAs). The JPAs require bulky ferrite-based circulators that prevent on-chip integration of the amplifiers with the processor and take up the majority of space and cooling power in the […]
April 1, 2020

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
Novel Superconducting Qubits for Error-Corrected Processors
Summary 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 […]
June 26, 2019