Quantum Flow Algorithms for Simulating Many-Body Systems on Quantum Computers
Karol Kowalski, Nicholas P. Bauman
Abstract
We conducted quantum simulations of strongly correlated systems using the quantum flow (QFlow) approach, which enables sampling large subspaces of the Hilbert space through coupled variational problems in reduced dimensionality active spaces. Our QFlow algorithms significantly reduce circuit complexity and pave the way for scalable and constant-circuit-depth quantum computing. Our simulations show that QFlow can optimize the collective number of wave function parameters without increasing the required qubits using active spaces having an order of magnitude fewer number of parameters.
Topics & Concepts
Quantum computerHilbert spaceComputer scienceQuantum algorithmLinear subspaceScalabilityQuantumQubitCurse of dimensionalityWave functionAlgorithmFlow (mathematics)Quantum simulatorQuantum mechanicsPhysicsMathematicsArtificial intelligencePure mathematicsMechanicsDatabaseQuantum Computing Algorithms and ArchitectureQuantum and electron transport phenomenaQuantum Information and Cryptography