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20182022
most citedQuantum technologies for climate change: Preliminary assessment

7 citations · 12 across the 3 of their papers we have counts for

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10 papers · 1 filter

quant-ph20221 cited

Self-consistent Quantum Iteratively Sparsified Hamiltonian method (SQuISH): A new algorithm for efficient Hamiltonian simulation and compression

Diana B. Chamaki, Stuart Hadfield, Katherine Klymko +2

It is crucial to reduce the resources required to run quantum algorithms and simulate physical systems on quantum computers due to coherence time limitations. With regards to Hamil…

quant-ph20214 cited

Quantum Alternating Operator Ansatz (QAOA) Phase Diagrams and Applications for Quantum Chemistry

Vladimir Kremenetski, Tad Hogg, Stuart Hadfield +2

Determining Hamiltonian ground states and energies is a challenging task with many possible approaches on quantum computers. While variational quantum eigensolvers are popular appr…

quant-ph20217 cited

Quantum technologies for climate change: Preliminary assessment

Casey Berger, Agustin Di Paolo, Tracey Forrest +4

Climate change presents an existential threat to human societies and the Earth's ecosystems more generally. Mitigation strategies naturally require solving a wide range of challeng…

quant-ph2021

Quantum-accelerated constraint programming

Kyle E. C. Booth, Bryan O'Gorman, Jeffrey Marshall +2

Constraint programming (CP) is a paradigm used to model and solve constraint satisfaction and combinatorial optimization problems. In CP, problems are modeled with constraints that…

quant-ph2020

Classical symmetries and the Quantum Approximate Optimization Algorithm

Ruslan Shaydulin, Stuart Hadfield, Tad Hogg +1

We study the relationship between the Quantum Approximate Optimization Algorithm (QAOA) and the underlying symmetries of the objective function to be optimized. Our approach formal…

quant-ph2020

Ferromagnetically shifting the power of pausing

Zoe Gonzalez Izquierdo, Shon Grabbe, Stuart Hadfield +3

We study the interplay between quantum annealing parameters in embedded problems, providing both deeper insights into the physics of these devices and pragmatic recommendations to…