Introduction
A quantum computer can solve difficult problems, such as prime factoring, unsorted database searching and quantum simulation, at the cost of needing to protect fragile quantum states from error. Prof. John Martinis and his group at UCSB have recently made great strides in demonstrating a universal set of logic gates in a superconducting multi-qubit processor, achieving an average single-qubit gate fidelity of 99.92 per cent and a two-qubit gate fidelity of up to 99.4 per cent [see Nature 508, 500 (2014)]. This places superconducting Josephson quantum computing at the fault-tolerance threshold for surface code error correction. The results demonstrate that Josephson quantum computing is a high-fidelity technology, with a clear path to scaling up to large-scale, fault-tolerant quantum circuits. As a consequence, in September, 2014, the Quantum Artificial Intelligence team at Google announced that Prof. Martinis and his group will join Google to launch a hardware initiative to design and build new quantum information processors based on superconducting electronics.

We are very pleased to have Prof. John Martinis as a lecturer for our Mini-school. Prof. John Martinis recently was awarded the 2014 Fritz London Memorial Prize recognizing him for his fundamental and pioneering experimental advances in quantum control, quantum information processing and quantum optics with superconducting qubits and microwave photons. He will deliver three pedagogical lectures at our mini-school, which go through all the basic physics of superconducting qubits as well as the recent development in Josephson junction quantum computing.

Deadline for registration: November 30, 2014
Lecturer
  • John Martinis (University of California at Santa Barbara (UCSB))
Organizer
  • Hsi-Sheng Goan (NTU)