Enhancement of non-Stabilizerness within Indefinite Causal Order

Comparison between the non-stabilizerness under different settings.

Abstract

In the field of quantum computation, the non-stabilizerness of a quantum circuit is crucial for understanding and quantifying quantum speed-up. In this work, we explore some intriguing phenomena regarding the non-stabilizerness of a circuit when a Quantum SWITCH structure is employed. This structure is a novel quantum construct that enables quantum states to pass through operations in a superposition of different orders and has shown superiority in numerous tasks over circuits with a definite causal order. Firstly, we discover that the completely stabilizer-preserving operations, which cannot generate magic states under standard conditions, can be transformed into a resourceful operation capable of generating magic states when processed by the Quantum SWITCH. Secondly, when considering the effects of noisy channels on operations, we observe that while the non-stabilizerness of each path may be annihilated, their superposition could still preserve the non-stabilizerness of the operation. These findings reveal unique properties brought by the Quantum SWITCH and open further avenues in future research on magic resources of general quantum architecture.

Publication
arXiv:2311.15494
Yin Mo
Yin Mo
Research Associate

I obtained my BS in Fundamental Science in Physics and Mathematics from Tsinghua University. I obtained my PhD degree in Computer Science from the University of Hong Kong. My research interests include quantum information theory, quantum supermaps and quantum machine learning.

Chengkai Zhu
Chengkai Zhu
PhD Student

I obtained my BS in Applied Mathematics from China Agricultural University under the supervision of Prof. Zhencai Shen. I obtained my MS degree in Cyberspace Security from University of Chinese Academy of Sciences under the supervision of Prof. Zhenyu Huang. My research interests include quantum information theory and quantum computation.

Zhiping Liu
Zhiping Liu
Research Assistant

I obtained my BS in Physics from Nanjing University under the supervision of Prof. Jian Sun. I'm a PhD candidate of Quantum physics in Nanjing University under the supervision of Prof. Zengbing Chen. My research interests include quantum machine learning and quantum information theory.

Mingrui Jing
Mingrui Jing
PhD Student

I obtained my BS and MS degrees in physics from the University of Melbourne. My research interests include distributed quantum computing, quantum entanglement and quantum machine learning.

Xin Wang
Xin Wang
Associate Professor

Prof. Xin Wang founded the QuAIR lab at HKUST(Guangzhou) in June 2023. His research primarily focuses on better understanding the limits of information processing with quantum systems and the power of quantum artificial intelligence. Prior to establishing the QuAIR lab, Prof. Wang was a Staff Researcher at the Institute for Quantum Computing at Baidu Research, where he concentrated on quantum computing research and the development of the Baidu Quantum Platform. Notably, he spearheaded the development of Paddle Quantum, a Python library designed for quantum machine learning. From 2018 to 2019, Prof. Wang held the position of Hartree Postdoctoral Fellow at the Joint Center for Quantum Information and Computer Science (QuICS) at the University of Maryland, College Park. He earned his doctorate in quantum information from the University of Technology Sydney in 2018, under the guidance of Prof. Runyao Duan and Prof. Andreas Winter. In 2014, Prof. Wang obtained his B.S. in mathematics (with Wu Yuzhang Honor) from Sichuan University.