Jay Gambetta

We present the bicycle architecture, a modular quantum computing framework based on high-rate, low-overhead quantum LDPC codes identified in prior work. For two specific bivariate bicycle codes with distances 12 and 18, we construct explicit fault-tolerant logical instruction sets and estimate the logical error rate of the instructions under circuit noise. We develop a compilation strategy adapted to the constraints of the bicycle architecture, enabling large-scale universal quantum circuit execution. Integrating these components, we perform end-to-end resource estimates demonstrating that an order of magnitude larger logical circuits can be implemented with a given number of physical qubits on the bicycle architecture than on surface code architectures. We anticipate further improvements through advances in code constructions, circuit designs, and compilation techniques.

Abstract In the past decade, the quantum computing community has expanded from a small,research-focused group of physicists, engineers and mathematicians to a large andinterdisciplinary field that includes experts from all domains including industry,government, and academia. As a result, we have seen accelerated progress towardunderstanding the scope of quantum computing, pushing its hardware technology,developing applications, and advancing error correction protocols. In this talk, I wouldlike to share my five-year vision for advancing quantum information technology, includinghow we will push the limits and what the key challenges to realizing frictionless quantumcomputing are—that is, quantum computing integrated seamlessly with high performancecomputing resources.