A graph-conditioned meta-optimizer learns QAOA parameter trajectories from one problem class and transfers them to others, yielding better initializations than standard methods in an empirical study of 64 settings.
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9 Pith papers cite this work, alongside 23 external citations. Polarity classification is still indexing.
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QAOA produces distributional solutions for hypergraph partitioning that outperform classical SDP approximations on fairness-style objectives like greatest expected imbalance.
Structure-aware approximate compilation for Hamiltonian dynamics on NISQ devices produces shallower circuits with higher observed fidelity than generic exact synthesis.
Gate fusion applied to both forward and backward passes in quantum circuit simulation achieves 20-30x throughput gains and supports training large 20-qubit 1000-layer QML models with 60000 parameters using gradient checkpointing.
PennyLane is a software library extending automatic differentiation to hybrid quantum-classical systems for variational quantum algorithms.
Compares shadow-based CNNs and physics-informed QCNNs for predicting low-energy subspace overlaps in quenched 10-qubit Heisenberg chains, reporting regime-dependent R^2 performance with QCNNs more stable overall.
QAOA ansatz with finite layers can capture any bitstring distribution and solves the Fair Cut Cover problem with provable and empirical advantages over classical approximations on certain graphs.
The authors present Pilot-Quantum, a middleware for adaptive resource management in hybrid quantum-HPC systems, along with execution motifs and a performance modeling toolkit called Q-Dreamer.
PauliEngine delivers a high-performance C++ backend for Pauli string multiplication, commutators, and symbolic tracking that outperforms existing tools in benchmarks.
citing papers explorer
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Graph-Conditioned Meta-Optimizer for QAOA Parameter Generation on Multiple Problem Classes
A graph-conditioned meta-optimizer learns QAOA parameter trajectories from one problem class and transfers them to others, yielding better initializations than standard methods in an empirical study of 64 settings.
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Quantum Hypergraph Partitioning
QAOA produces distributional solutions for hypergraph partitioning that outperform classical SDP approximations on fairness-style objectives like greatest expected imbalance.
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Hardware-Efficient Hamiltonian Simulation via Trotter-Initialized Variational Optimization with Native Placement
Structure-aware approximate compilation for Hamiltonian dynamics on NISQ devices produces shallower circuits with higher observed fidelity than generic exact synthesis.
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Fast and memory-efficient classical simulation of quantum machine learning via forward and backward gate fusion
Gate fusion applied to both forward and backward passes in quantum circuit simulation achieves 20-30x throughput gains and supports training large 20-qubit 1000-layer QML models with 60000 parameters using gradient checkpointing.
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PennyLane: Automatic differentiation of hybrid quantum-classical computations
PennyLane is a software library extending automatic differentiation to hybrid quantum-classical systems for variational quantum algorithms.
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Learning Low-Energy Subspace Overlaps in Many-Body Systems with Measurement-Based and Coherent Quantum Strategies
Compares shadow-based CNNs and physics-informed QCNNs for predicting low-energy subspace overlaps in quenched 10-qubit Heisenberg chains, reporting regime-dependent R^2 performance with QCNNs more stable overall.
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Learning Cut Distributions with Quantum Optimization
QAOA ansatz with finite layers can capture any bitstring distribution and solves the Fair Cut Cover problem with provable and empirical advantages over classical approximations on certain graphs.
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Hybrid Quantum-HPC Middleware Systems for Adaptive Resource, Workload and Task Management
The authors present Pilot-Quantum, a middleware for adaptive resource management in hybrid quantum-HPC systems, along with execution motifs and a performance modeling toolkit called Q-Dreamer.
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PauliEngine: High-Performant Symbolic Arithmetic for Quantum Operations
PauliEngine delivers a high-performance C++ backend for Pauli string multiplication, commutators, and symbolic tracking that outperforms existing tools in benchmarks.