23 citations · 43 across the 8 of their papers we have counts for
8 papers
Quantum Boltzmann machine learning of ground-state energies
Dhrumil Patel, Daniel Koch, Saahil Patel +1
Estimating the ground-state energy of Hamiltonians is a fundamental task for which it is believed that quantum computers can be helpful. Several approaches have been proposed towar…
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…
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…
Demonstrating NISQ Era Challenges in Algorithm Design on IBM's 20 Qubit Quantum Computer
Daniel Koch, Brett Martin, Saahil Patel +2
As superconducting qubits continue to advance technologically, the realization of quantum algorithms from theoretical abstraction to physical implementation requires knowledge of b…
Simulating Quantum Algorithms Using Fidelity and Coherence Time as Principle Models for Error
Daniel Koch, Avery Torrance, David Kinghorn +3
As various quantum computing technologies continue to compete for quantum supremacy, several parameters have emerged as benchmarks for the quality of qubits. These include fidelity…