49 citations · 99 across the 14 of their papers we have counts for
7 papers · 1 filter
Fine-Tuning Large Language Models for Quantum Reasoning
Katherine Ip, Casey R. Myers, Udaya Parampalli +2
Large language models (LLMs) exhibit abilities beyond natural language modelling and text generation. Recent advances in their reasoning capabilities have spurred interest in apply…
A System Aware Resource Allocation for Distributed Workflows in Quantum Computing Environments
Abhishek Sawaika, Udaya Parampalli, Rajkumar Buyya
Rapid advancements in cloud based platforms providing access to quantum computing capabilities have opened up several challenges for efficient usage of these highly delicate and co…
Encoding Matters: Benchmarking Binary and D-ary Representations for Quantum Combinatorial Optimization
Shashank Sanjay Bhat, Peiyong Wang, Joseph West +1
Combinatorial optimization problems are typically formulated using Quadratic Unconstrained Binary Optimization (QUBO), where constraints are enforced through penalty terms that int…
Benchmarking Swarm Optimization Algorithms for Parameter Initialization in the Quantum Approximate Optimization Algorithm
Shashank Sanjay Bhat, Peiyong Wang, Udaya Parampalli
The Quantum Approximate Optimization Algorithm (QAOA) is a prominent variational algorithm for solving combinatorial optimization problems such as the Max Cut problem. A key challe…
Quantum Hamiltonian Embedding of Images for Data Reuploading Classifiers
Peiyong Wang, Casey R. Myers, Lloyd C. L. Hollenberg +1
When applying quantum computing to machine learning tasks, one of the first considerations is the design of the quantum machine learning model itself. Conventionally, the design of…
Impact of Data Augmentation on QCNNs
Leting Zhouli, Peiyong Wang, Udaya Parampalli
In recent years, Classical Convolutional Neural Networks (CNNs) have been applied for image recognition successfully. Quantum Convolutional Neural Networks (QCNNs) are proposed as…
Automated Quantum Circuit Design with Nested Monte Carlo Tree Search
Pei-Yong Wang, Muhammad Usman, Udaya Parampalli +2
Quantum algorithms based on variational approaches are one of the most promising methods to construct quantum solutions and have found a myriad of applications in the last few year…