Introduces HRSE model and ASDT algorithm for quantum oracle optimization, achieving 53.99% circuit depth reduction compared to state-of-the-art W-cycle approach through adaptive space-depth trade-offs.

#QuantumOracles #QuantumCircuitOptimization #Research

RL+CR framework integrates deterministic optimization into reinforcement learning, achieving 45% gate reductions on circuits 5× larger than training size, outperforming standard RL and Qiskit transpiler across multiple gate sets.

#QuantumCircuitOptimization #QuantumCompiling #Research

MonteQ combines Monte Carlo Tree Search with adaptive optimization to intelligently design Hamiltonian simulation circuits, achieving up to 53% CNOT gate reduction vs Rustiq, improving quantum computation accuracy on near-term devices.

#QuantumCircuitOptimization #HamiltonianSimulation #News