Google today presented Bristlecone, the company's new quantum processor, at the annual American Physical Society meeting in Los Angeles.
The purpose of this gate-based superconducting system is to provide a testbed for research into system error rates and scalability of Google's qubit technology, as well as applications in quantum simulation, optimization, and machine learning.
The goal of the Google Quantum AI lab is to build a quantum computer that can be used to solve real-world problems. Google's strategy is to explore near-term applications using systems that are forward compatible to a large-scale universal error-corrected quantum computer.
In order for a quantum processor to be able to run algorithms beyond the scope of classical simulations, it requires not only a large number of qubits. Crucially, the processor must also have low error rates on readout and logical operations, such as single and two-qubit gates.
The guiding design principle for Bristlecone is to preserve the underlying physics of Google's previous 9-qubit linear array technology, which demonstrated low error rates for readout (1%), single-qubit gates (0.1%) and most importantly two-qubit gates (0.6%) as Google's best result. This device uses the same scheme for coupling, control, and readout, but is scaled to a square array of 72 qubits. Google chose a device of this size to be able to demonstrate quantum supremacy in the future, investigate first and second order error-correction using the surface code, and to facilitate quantum algorithm development on actual hardware.
Google's theory team has developed a benchmarking tool to quantify a quantum processor's capabilities. Google assigns a single system error by applying random quantum circuits to the device and checking the sampled output distribution against a classical simulation. If a quantum processor can be operated with low enough error, it would be able to outperform a classical supercomputer on a well-defined computer science problem, an achievement known as quantum supremacy. These random circuits must be large in both number of qubits as well as computational length (depth). Although no one has achieved this goal yet, Google calculates quantum supremacy can be comfortably demonstrated with 49 qubits, a circuit depth exceeding 40, and a two-qubit error below 0.5%.
"We believe the experimental demonstration of a quantum processor outperforming a supercomputer would be a watershed moment for our field, and remains one of our key objectives," said Julian Kelly, Research Scientist, Quantum AI Lab.
Google is looking to achieve similar performance to the best error rates of the 9-qubit device, but now across across all 72 qubits of Bristlecone. The company believes Bristlecone would then be a compelling proof-of-principle for building larger scale quantum computers. Operating a device such as Bristlecone at low system error requires harmony between a full stack of technology ranging from software and control electronics to the processor itself. Getting this right requires careful systems engineering over several iterations. Google is "cautiously optimistic" that quantum supremacy can be achieved with Bristlecone.