Google Quantum AI lab has been working hard to make inroads into Quantum computing and with Bristlecone Quantum processor, they are heading in the right direction. The new quantum processor was presented at American Physical Society meeting in LA, USA. Bristlecone is targeted at providing testbed for research into system error rates and scalability of Google’s qubit technoloy as well as applications in quantum simulation, optimization, and machine learning. The end goal is to built a quantum computer that can help in solving real world problems.
“The guiding design principle for this device is to preserve the underlying physics of our previous 9-qubit linear array technology1, 2, which demonstrated low error rates for readout (1%), single-qubit gates (0.1%) and most importantly two-qubit gates (0.6%) as our best result. This device uses the same scheme for coupling, control, and readout, but is scaled to a square array of 72 qubits. We 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. “, said, Julian Kelly, Research Scientist, Quantum AI Lab.
