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Riemannian Optimization for Holevo Capacity
Abstract Computing the classical capacity of a noisy quantum channel is crucial for understanding the limits of communication over …
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Riemannian Optimization for Holevo Capacity
MUSS-TI: Multi-level Shuttle Scheduling for Large-Scale Entanglement Module Linked Trapped-Ion
Abstract Trapped-ion computing is a leading architecture in the pursuit of scalable and high fidelity quantum systems. Modular quantum …
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MUSS-TI: Multi-level Shuttle Scheduling for Large-Scale Entanglement Module Linked Trapped-Ion
S-SYNC: Shuttle and Swap Co-Optimization in Quantum Charge-Coupled Devices
The Quantum Charge-Coupled Device (QCCD) architecture is a modular design to expand trapped-ion quantum computer that relies on the …
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S-SYNC: Shuttle and Swap Co-Optimization in Quantum Charge-Coupled Devices
BOSS: Blocking algorithm for optimizing shuttling scheduling in Ion Trap
Ion traps stand at the forefront of quantum hardware technology, presenting unparalleled benefits for quantum computing, such as …
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BOSS: Blocking algorithm for optimizing shuttling scheduling in Ion Trap
Provable Advantage of Parameterized Quantum Circuit in Function Approximation
Parameterized quantum circuits (PQCs) have emerged as a promising approach for quantum neural networks. However, understanding their …
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Provable Advantage of Parameterized Quantum Circuit in Function Approximation
Exponential Hardness of Optimization from the Locality in Quantum Neural Networks
Quantum neural networks (QNNs) have become a leading paradigm for establishing near-term quantum applications in recent years. The …
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Exponential Hardness of Optimization from the Locality in Quantum Neural Networks
Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks
Quantum neural networks (QNNs) have been a promising framework in pursuing near-term quantum advantage in various fields, where many …
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Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks
Upper Bounds on the Distillable Randomness of Bipartite Quantum States
The distillable randomness of a bipartite quantum state is an information-theoretic quantity equal to the largest net rate at which …
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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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Power and limitations of single-qubit native quantum neural networks
Quantum neural networks (QNNs) have emerged as a leading strategy to establish applications in machine learning, chemistry, and …
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