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Physical implementability for reversible magic state manipulation
Magic states are essential for achieving universal quantum computation, yet the reversibility and efficiency of exact magic state …
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Physical implementability for reversible magic state manipulation
Shadow Simulation of Quantum Processes
We introduce the task of shadow process simulation, where the goal is to simulate the estimation of the expectation values of arbitrary …
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Shadow Simulation of Quantum Processes
Optimal unilocal virtual quantum broadcasting
Quantum broadcasting is central to quantum information processing and characterizes the correlations within quantum states. …
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Optimal unilocal virtual quantum broadcasting
Reversing Unknown Quantum Processes via Virtual Combs for Channels with Limited Information
The inherent irreversibility of quantum dynamics for open systems poses a significant barrier to the inversion of unknown quantum …
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Reversing Unknown Quantum Processes via Virtual Combs for Channels with Limited Information
Limitations of Classically Simulable Measurements for Quantum State Discrimination
In the realm of fault-tolerant quantum computing, stabilizer operations play a pivotal role, characterized by their remarkable …
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Limitations of Classically Simulable Measurements for Quantum State Discrimination
Enhancement of non-Stabilizerness within Indefinite Causal Order
In quantum computing, the nonstabilizerness of quantum operations is crucial for understanding and quantifying quantum speedups. In …
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Enhancement of non-Stabilizerness within Indefinite Causal Order
Quantum Sequential Scattering Model for Quantum State Learning
Learning probability distribution is an essential framework in classical learning theory. As a counterpart, quantum state learning has …
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Quantum Sequential Scattering Model for Quantum State Learning
Retrieving Non-Linear Features from Noisy Quantum States
Accurately estimating high-order moments of quantum states is an elementary precondition for many crucial tasks in quantum computing, …
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Retrieving Non-Linear Features from Noisy Quantum States
Mitigating Barren Plateaus of Variational Quantum Eigensolvers
Variational quantum algorithms (VQAs) are expected to establish valuable applications on near-term quantum computers. However, recent …
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Mitigating Barren Plateaus of Variational Quantum Eigensolvers
Quantum self-attention neural networks for text classification
An emerging direction of quantum computing is to establish meaningful quantum applications in various fields of artificial …
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Quantum self-attention neural networks for text classification