23 citations · 105 across the 14 of their papers we have counts for
14 papers
Variational Amplitude Amplification for Solving QUBO Problems
Daniel Koch, Massimiliano Cutugno, Saahil Patel +2
We investigate the use of amplitude amplification on the gate-based model of quantum computing as a means for solving combinatorial optimization problems. This study focuses primar…
Physics Simulation Via Quantum Graph Neural Network
Benjamin Collis, Saahil Patel, Daniel Koch +3
We develop and implement two realizations of quantum graph neural networks (QGNN), applied to the task of particle interaction simulation. The first QGNN is a speculative quantum-c…
Information loss and run time from practical application of quantum data compression
Saahil Patel, Benjamin Collis, William Duong +4
We examine information loss, resource costs, and run time from practical application of quantum data compression. Compressing quantum data to fewer qubits enables efficient use of…
Gaussian Amplitude Amplification for Quantum Pathfinding
Daniel Koch, Massimiliano Cutugno, Samuel Karlson +3
We study an oracle operation, along with its circuit design, which combined with the Grover diffusion operator boosts the probability of finding minimum or maximum solutions on a w…
Gate-Based Circuit Designs For Quantum Adder Inspired Quantum Random Walks on Superconducting Qubits
Daniel Koch, Michael Samodurov, Andrew Projansky +1
Quantum Random Walks, which have drawn much attention over the past few decades for their distinctly non-classical behavior, is a promising subfield within Quantum Computing. Theor…
Fundamentals In Quantum Algorithms: A Tutorial Series Using Qiskit Continued
Daniel Koch, Saahil Patel, Laura Wessing +1
With the increasing rise of publicly available high level quantum computing languages, the field of Quantum Computing has reached an important milestone of separation of software f…