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Potential Applications of Quantum Computing at Los Alamos National Laboratory
Andreas Bärtschi, Francesco Caravelli, Carleton Coffrin +16
The emergence of quantum computing technology over the last decade indicates the potential for a transformational impact in the study of quantum mechanical systems. It is natural t…
Lower bounds on the number of rounds of the quantum approximate optimization algorithm required for guaranteed approximation ratios
Naphan Benchasattabuse, Andreas Bärtschi, Luis Pedro GarcÃa-Pintos +3
The quantum approximate optimization algorithm, also known in its generalization as the quantum alternating operator ansatz, (QAOA) is a heuristic hybrid quantum-classical algorith…
Scalable Experimental Bounds for Entangled Quantum State Fidelities
Shamminuj Aktar, Andreas Bärtschi, Abdel-Hameed A. Badawy +1
Estimating the state preparation fidelity of highly entangled states on noisy intermediate-scale quantum (NISQ) devices is important for benchmarking and application considerations…
Scaling Whole-Chip QAOA for Higher-Order Ising Spin Glass Models on Heavy-Hex Graphs
Elijah Pelofske, Andreas Bärtschi, Lukasz Cincio +2
We show through numerical simulation that the Quantum Approximate Optimization Algorithm (QAOA) for higher-order, random-coefficient, heavy-hex compatible spin glass Ising models h…
Simulating Heavy-Hex Transverse Field Ising Model Magnetization Dynamics Using Programmable Quantum Annealers
Elijah Pelofske, Andreas Bärtschi, Stephan Eidenbenz
Recently, a Hamiltonian dynamics simulation was performed on a kicked ferromagnetic 2D transverse field Ising model with a connectivity graph native to the 127 qubit heavy-hex IBM…
Limitations for Quantum Algorithms to Solve Turbulent and Chaotic Systems
Dylan Lewis, Stephan Eidenbenz, Balasubramanya Nadiga +1
We investigate the limitations of quantum computers for solving nonlinear dynamical systems. In particular, we tighten the worst-case bounds of the quantum Carleman linearisation (…