Quantum algorithms

Exploring the experimental limit of deep quantum signal processing using a trapped-ion simulator
Quantum signal processing (QSP), which enables systematic polynomial transformations on quantum data through sequences of qubit …
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Exploring the experimental limit of deep quantum signal processing using a trapped-ion simulator
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 Algorithm in Reversing Unknown Unitary Evolutions
Reversing an unknown quantum evolution is of central importance to quantum information processing and fundamental physics, yet it …
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Quantum Algorithm in Reversing Unknown Unitary Evolutions
Quantum Phase Processing and Its Applications in Estimating Phase and Entropies
Quantum computing can provide speedups in solving many problems as the evolution of a quantum system is described by a unitary operator …
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Quantum Phase Processing and Its Applications in Estimating Phase and Entropies
Near-Term Efficient Quantum Algorithms for Entanglement Analysis
Entanglement plays a crucial role in quantum physics and is the key resource in quantum information processing. However, entanglement …
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Near-Term Efficient Quantum Algorithms for Entanglement Analysis
Mitigating Quantum Errors via Truncated Neumann Series
Quantum gates and measurements on quantum hardware are inevitably subject to hardware imperfections that lead to quantum errors. …
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Mitigating Quantum Errors via Truncated Neumann Series
Lower bound the T-count via unitary stabilizer nullity
We introduce magic measures for multi-qubit quantum gates and establish lower bounds on the non-Clifford resources for fault-tolerant …
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Optimal Quantum Dataset for Learning a Unitary Transformation
Unitary transformations formulate the time evolution of quantum states. How to learn a unitary transformation efficiently is a …
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Quantum algorithms for estimating quantum entropies
The von Neumann and quantum Rényi entropies characterize fundamental properties of quantum systems and lead to theoretical and …
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