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Quantum Imaginary-Time Evolution with Polynomial Resources in Time
Imaginary-time evolution is fundamental to analyzing quantum many-body systems, yet classical simulation requires exponentially growing …
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Quantum Imaginary-Time Evolution with Polynomial Resources in Time
Efficient Inversion of Unknown Unitary Operations with Structured Hamiltonians
Unknown unitary inversion is a fundamental primitive in quantum computing and physics. Although recent work has demonstrated that …
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Efficient Inversion of Unknown Unitary Operations with Structured Hamiltonians
Quantum Fidelity Estimation in the Resource Theory of Nonstabilizerness
Quantum fidelity estimation is essential for benchmarking quantum states and processes on noisy quantum devices. While stabilizer …
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Quantum Fidelity Estimation in the Resource Theory of Nonstabilizerness
Quantum Recurrent Embedding Neural Network
Quantum neural networks have emerged as promising quantum machine learning models, leveraging the properties of quantum systems and …
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Quantum Recurrent Embedding Neural Network
Quantum Compiler Design for Qubit Mapping and Routing: A Cross-Architectural Survey of Superconducting, Trapped-Ion, and Neutral Atom Systems
Quantum hardware development is progressing rapidly with substantial advancements achieved across leading platforms, including …
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Quantum Compiler Design for Qubit Mapping and Routing: A Cross-Architectural Survey of Superconducting, Trapped-Ion, and Neutral Atom Systems
No-Go Theorems for Universal Quantum State Purification via Classically Simulable Operations
Quantum state purification, a process that aims to recover a state closer to a system’s principal eigenstate from multiple copies …
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No-Go Theorems for Universal Quantum State Purification via Classically Simulable Operations
Predicting symmetries of quantum dynamics with optimal samples
Identifying symmetries in quantum dynamics, such as identity or time-reversal invariance, is a crucial challenge with profound …
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Predicting symmetries of quantum dynamics with optimal samples
Optimizer-Dependent Generalization Bound for Quantum Neural Networks
Quantum neural networks (QNNs) play a pivotal role in addressing complex tasks within quantum machine learning, analogous to classical …
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Optimizer-Dependent Generalization Bound for Quantum Neural Networks
Riemannian Optimization for Holevo Capacity
Computing the classical capacity of a noisy quantum channel is crucial for understanding the limits of communication over quantum …
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Riemannian Optimization for Holevo Capacity
Optimal Hamiltonian recognition of unknown quantum dynamics
Identifying unknown Hamiltonians from their quantum dynamics is a pivotal challenge in quantum technologies and fundamental physics. In …
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Optimal Hamiltonian recognition of unknown quantum dynamics