Variational quantum algorithms

Parameterized quantum comb and simpler circuits for reversing unknown qubit-unitary operations
Quantum combs play a vital role in characterizing and transforming quantum processes, with wide-ranging applications in quantum …
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Parameterized quantum comb and simpler circuits for reversing unknown qubit-unitary operations
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
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
Concentration of Data Encoding in Parameterized Quantum Circuits
Variational quantum algorithms have been acknowledged as the leading strategy to realize near-term quantum advantages in meaningful …
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Detecting and quantifying entanglement on near-term quantum devices
Quantum entanglement is a key resource in quantum technology, and its quantification is a vital task in the current Noisy …
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Variational quantum algorithms for trace distance and fidelity estimation
Estimating the difference between quantum data is crucial in quantum computing. However, as typical characterizations of quantum data …
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Variational Quantum Gibbs State Preparation with a Truncated Taylor Series
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Variational Quantum Singular Value Decomposition
Singular value decomposition is central to many problems in engineering and scientific fields. Several quantum algorithms have been …
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Noise-Assisted Quantum Autoencoder
Quantum autoencoder is an efficient variational quantum algorithm for quantum data compression. However, previous quantum autoencoders …
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