讲座预告 | 8月13日-19日邀请报告

His research focuses on understanding the low-level physics of quantum computing devices and determining how to best use them for computational tasks, thereby taking a bottom-up approach to quantum computing. The theoretical tools thus developed have been adopted by leading hardware teams around the world. At Alibaba he also worked on the theory of quantum gate benchmarking, physics simulations of superconducting qubits, classical simulation of quantum circuits, and quantum computer architecture.

In general, the problems involve coordinating decisions given a set of observations without being able to communicate. We argue this inability is actually quite prevalent in the modern era where the decision-making timescales of computer processors are so short that speed of light delay is actually quite appreciable in comparison. We highlight the example of high-frequency trading (HFT), where trades are made at microsecond timescales, but the speed of light delay between different exchanges can range from the order of 10 microseconds to 10 milliseconds. Due to the maturity of Bell inequality violation experiments, experimental realization of quantum telepathy schemes that can attain a quantum advantage for real-world problems is already almost immediately possible. 

We demonstrate this by conducting a case study for a concrete HFT scenario that gives rise to a generalization of the CHSH game and evaluate different possible physical implementations for achieving a quantum advantage. It is well known that Bell inequality violation is a rigorous mathematical proof of a quantum advantage over any classical strategy and does not need any complexity-theoretic assumptions such as BQP ≠ BPP. Moreover, fault tolerance is not necessary to realize quantum advantage: for example, violating the CHSH inequality only requires single-qubit gates applied on two entangled qubits.

Jianxin's primary research focus is on the development of robust and fault-tolerant quantum computer systems.  

More specifically, I will showcase several quantum instruction set designs that can improve accuracy by hundreds to even millions of times in quantum program execution, or significantly mitigate the overhead caused by limited connectivity, on the current generation of superconducting quantum processors. I will also discuss the necessary experimental toolchains required to control, calibrate, and characterize new quantum instruction set designs.

Finally, I will conclude with an outlook on the interface that future quantum hardware should offer.

The superconducting quantum circuit is one of the most prominent platforms for constructing a large-scale quantum processor. The superconducting qubits properties are determined by the patterns of the superconducting films, and the operations on qubits are realized by microwave pulses, which offer a rich parameters space of chip layout geometries and pulse shapes to design. In this talk, I would like to introduce our research and development on the design automation software, including the design, simulation, optimization, and verification tools. These tools have greatly automated and improved the efficiency of the design workflow, as well as substantially reduced the design-measurement inconsistency, which play the central role for the development of scalable high-fidelity superconducting quantum processor.