5 papers
Improving Join Order Optimization on Gate-Based Quantum Computers via Structured Parameter Initialization
Divya Shekar, Ruokun Wu, Dhanvi Bharadwaj +2
Join Order Optimization (JOO) is one of the most computationally expensive tasks in relational query optimization due to the exponential growth of possible join plans with increasi…
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…