10 citations · 31 across the 20 of their papers we have counts for
21 papers
Quantum Channel Stein Theorem beyond Definite Causal Order
Chengkai Zhu, Xin Wang
The paper proves that for any two finite‑dimensional memoryless quantum channels, parallel, adaptive, and general testing strategies all achieve the same Stein exponent (the regula…
The Min-Rains Relative Entropy Is Not Tight for Exact PPT Entanglement Distillation
Chengkai Zhu, Xin Wang
Exact entanglement distillation converts a noisy bipartite state into a maximally entangled state with zero error. Under completely PPT-preserving operations, the additive min-Rain…
Quantum incapacity from observable shadows
Chengkai Zhu, Xin Wang
Quantum communication is ruled out when an eavesdropper can reconstruct the receiver's state. Yet states are operationally specified by measurement statistics, raising a sharper qu…
Witness expansion: A unified framework for analytical and measurable mixed-state resource detection
Yifan Tang, Chengkai Zhu, Yuzhen Zhang +6
Quantum information science aims to harness different kinds of quantum resources to accomplish specific information-processing tasks. These resources also play an increasingly impo…
Invariant Measures and Weak-Magic-Injection Asymptotics in Random Monitored Quantum Circuits
Guocheng Zhen, Xuanrong Yang, Chengkai Zhu +2
Monitored quantum circuits combine scrambling with measurement-conditioned state updates, while non-Clifford perturbations inject magic into otherwise stabilizer-compatible dynamic…
Entanglement cost of bipartite quantum channel discrimination under positive partial transpose operations
Chengkai Zhu, Shuyu He, Gereon Koßmann +1
Quantum channel discrimination is a fundamental task in quantum information processing. In the one-shot regime, discrimination between two candidate channels is characterized by th…
Normalized tensor train decomposition
Renfeng Peng, Chengkai Zhu, Bin Gao +2
Tensors with unit Frobenius norm are fundamental objects in many fields, including scientific computing and quantum physics, which are able to represent normalized eigenvectors and…
Quantum Recurrent Embedding Neural Network
Mingrui Jing, Erdong Huang, Xiao Shi +2
Quantum neural networks have emerged as promising quantum machine learning models, leveraging the properties of quantum systems and classical optimization to solve complex problems…
Riemannian Optimization for Holevo Capacity
Chengkai Zhu, Renfeng Peng, Bin Gao +1
Computing the classical capacity of a noisy quantum channel is crucial for understanding the limits of communication over quantum channels. However, its evaluation remains challeng…
Optimal Hamiltonian recognition of unknown quantum dynamics
Chengkai Zhu, Shuyu He, Yu-Ao Chen +2
Identifying unknown Hamiltonians from their quantum dynamics is a pivotal challenge in quantum technologies. In this paper, we introduce Hamiltonian recognition, a framework that b…
Amortized Stabilizer Rényi Entropy of Quantum Dynamics
Chengkai Zhu, Yu-Ao Chen, Zanqiu Shen +3
Unraveling the secrets of how much nonstabilizerness a quantum dynamic can generate is crucial for harnessing the power of magic states, the essential resources for achieving quant…
Classical communication cost of a bipartite quantum channel assisted by non-signalling correlations
Chengkai Zhu, Xuanqiang Zhao, Xin Wang
Understanding the classical communication cost of simulating a quantum channel is a fundamental problem in quantum information theory, which becomes even more intriguing when consi…
Quantum Coherence and Distinguishability as Complementary Resources: A Resource-Theoretic Perspective from Wave-Particle Duality
Zhiping Liu, Chengkai Zhu, Hua-Lei Yin +1
Wave-particle duality, a fundamental principle of quantum mechanics, encapsulates the complementary relationship between the wave and particle behaviors of quantum systems. In this…
Circuit Knitting Faces Exponential Sampling Overhead Scaling Bounded by Entanglement Cost
Mingrui Jing, Chengkai Zhu, Xin Wang
Circuit knitting, a method for connecting quantum circuits across multiple processors to simulate nonlocal quantum operations, is a promising approach for distributed quantum compu…
Entanglement cost of discriminating quantum states under locality constraints
Chenghong Zhu, Chengkai Zhu, Zhiping Liu +1
The unique features of entanglement and non-locality in quantum systems, where there are pairs of bipartite states perfectly distinguishable by general entangled measurements yet i…
Reversing Unknown Quantum Processes via Virtual Combs for Channels with Limited Information
Chengkai Zhu, Yin Mo, Yu-Ao Chen +1
The inherent irreversibility of quantum dynamics for open systems poses a significant barrier to the inversion of unknown quantum processes. To tackle this challenge, we propose th…
Virtual Quantum Markov Chains
Yu-Ao Chen, Chengkai Zhu, Keming He +2
Quantum Markov chains generalize classical Markov chains for random variables to the quantum realm and exhibit unique inherent properties, making them an important feature in quant…
Enhancement of non-Stabilizerness within Indefinite Causal Order
Yin Mo, Chengkai Zhu, Zhiping Liu +2
In quantum computing, the nonstabilizerness of quantum operations is crucial for understanding and quantifying quantum speedups. In this study, we explore the phenomena of nonstabi…
Computable and Faithful Lower Bound on Entanglement Cost
Xin Wang, Mingrui Jing, Chengkai Zhu
Quantifying the minimum entanglement needed to prepare quantum states and implement quantum processes is a key challenge in quantum information theory. In this work, we develop com…
Optimal unilocal virtual quantum broadcasting
Hongshun Yao, Xia Liu, Chengkai Zhu +1
Quantum broadcasting is central to quantum information processing and characterizes the correlations within quantum states. Nonetheless, traditional quantum broadcasting encounters…
Limitations of Classically-Simulable Measurements for Quantum State Discrimination
Chengkai Zhu, Zhiping Liu, Chenghong Zhu +1
In the realm of fault-tolerant quantum computing, stabilizer operations play a pivotal role, characterized by their remarkable efficiency in classical simulation. This efficiency s…