Hamiltonian Operator Approximation for Energy Measurement and Ground-State Preparation
Tatiana A. Bespalova, Oleksandr Kyriienko
Abstract
A strategy is devised to approximate the Hamiltonian operator in ways that benefit analog quantum simulators, potentially outperforming variational methods in terms of gate depth and a total number of measurements.
Topics & Concepts
Hamiltonian (control theory)Operator (biology)Energy operatorMathematicsQuantumAdiabatic quantum computationHamiltonian systemPhysicsLadder operatorDisplacement operatorEnergy (signal processing)Approximation theoryApplied mathematicsQuantum systemQuantum mechanicsVariational methodQuantum computerApproximation algorithmQuantum Computing Algorithms and ArchitectureQuantum many-body systemsMachine Learning in Materials Science