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Classical State Preparation for Variational Quantum Algorithms via Reinforcement Learning
Gino Kwun, Dhanvi Bharadwaj, Gokul Subramanian Ravi
Variational Quantum Algorithms (VQAs) potentially offer a pathway to practical quantum advantage, but their optimization is heavily hindered by barren plateaus and numerous local m…
C-Phase-Aware Compilation for Efficient Fault-Tolerant Quantum Execution
Dhanvi Bharadwaj, Siddharth Dangwal, Yuewen Hou +1
Achieving practical quantum advantage on fault-tolerant quantum computers (FTQC) is fundamentally constrained by the substantial spatial and temporal overheads required to map logi…
Scalable Clifford-Based Classical Initialization for the Quantum Approximate Optimization Algorithm
Dhanvi Bharadwaj, Yuewen Hou, Guang-Yi Li +1
Variational Quantum Algorithms (VQAs), such as the Quantum Approximate Optimization Algorithm (QAOA), offer a promising route to tackling combinatorial optimization problems on nea…
TreeVQA: A Tree-Structured Execution Framework for Shot Reduction in Variational Quantum Algorithms
Yuewen Hou, Dhanvi Bharadwaj, Gokul Subramanian Ravi
Variational Quantum Algorithms (VQAs) are promising for near- and intermediate-term quantum computing, but their execution cost is substantial. Each task requires many iterations a…