Orbital Expansion Variational Quantum Eigensolver: Enabling Efficient Simulation of Molecules with Shallow Quantum Circuit
arXiv:2210.06897 · doi:10.1088/2058-9565/acf9c7
Abstract
In the noisy-intermediate-scale-quantum era, Variational Quantum Eigensolver (VQE) is a promising method to study ground state properties in quantum chemistry, materials science, and condensed physics. However, general quantum eigensolvers are lack of systematical improvability, and achieve rigorous convergence is generally hard in practice, especially in solving strong-correlated systems. Here, we propose an Orbital Expansion VQE~(OE-VQE) framework to construct an efficient convergence path. The path starts from a highly correlated compact active space and rapidly expands and converges to the ground state, enabling simulating ground states with much shallower quantum circuits. We benchmark the OE-VQE on a series of typical molecules including H-chain, H-ring and N, and the simulation results show that proposed convergence paths dramatically enhance the performance of general quantum eigensolvers.
arXiv commentWu et al 2023 Quantum Sci. Technol
References in corpus (49)
- SciPy 1.0--Fundamental Algorithms for Scientific Computing in Python
- Quantum Computing in the NISQ era and beyond
- Supplementary information for "Quantum supremacy using a programmable superconducting processor"
- A variational eigenvalue solver on a quantum processor
- Hardware-efficient Variational Quantum Eigensolver for Small Molecules and Quantum Magnets
- Barren plateaus in quantum neural network training landscapes
- The theory of variational hybrid quantum-classical algorithms
- Quantum computational chemistry
- Quantum Chemistry in the Age of Quantum Computing
- Intrinsic atomic orbitals: An unbiased bridge between quantum theory and chemical concepts
- Cost Function Dependent Barren Plateaus in Shallow Parametrized Quantum Circuits
- The Variational Quantum Eigensolver: a review of methods and best practices
- An adaptive variational algorithm for exact molecular simulations on a quantum computer
- Noise-Induced Barren Plateaus in Variational Quantum Algorithms
- Scalable Quantum Simulation of Molecular Energies
- Hartree-Fock on a superconducting qubit quantum computer
- Determining eigenstates and thermal states on a quantum computer using quantum imaginary time evolution
- Density matrix embedding: A simple alternative to dynamical mean-field theory
- Ab-Initio Solution of the Many-Electron Schrödinger Equation with Deep Neural Networks
- Simulation of Electronic Structure Hamiltonians Using Quantum Computers
- Robust determination of molecular spectra on a quantum processor
- Generalized Unitary Coupled Cluster Wavefunctions for Quantum Computation
- Quantum chemistry calculations on a trapped-ion quantum simulator
- Quantum advantage with shallow circuits
- qubit-ADAPT-VQE: An adaptive algorithm for constructing hardware-efficient ansatze on a quantum processor
- An initialization strategy for addressing barren plateaus in parametrized quantum circuits
- Quantum algorithms for electronic structure calculations: particle/hole Hamiltonian and optimized wavefunction expansions
- Layerwise learning for quantum neural networks
- Unbiasing Fermionic Quantum Monte Carlo with a Quantum Computer
- Strategies for solving the Fermi-Hubbard model on near-term quantum computers
- Doubling the size of quantum simulators by entanglement forging
- Qubit-excitation-based adaptive variational quantum eigensolver
- Models of quantum complexity growth
- Ground-state properties of the hydrogen chain: insulator-to-metal transition, dimerization, and magnetic phases
- Quantum simulation with hybrid tensor networks
- Towards a Larger Molecular Simulation on the Quantum Computer: Up to 28 Qubits Systems Accelerated by Point Group Symmetry
- Variational Quantum Eigensolver with Reduced Circuit Complexity
- Toward Practical Quantum Embedding Simulation of Realistic Chemical Systems on Near-term Quantum Computers
- Reduced Density Matrix Sampling: Self-consistent Embedding and Multiscale Electronic Structure on Current Generation Quantum Computers
- Mutual information-assisted Adaptive Variational Quantum Eigensolver
- Systematic improvability in quantum embedding for real materials
- Quantum Phase Recognition via Quantum Kernel Methods
- The Fermionic Quantum Emulator
- Efficient quantum imaginary time evolution by drifting real time evolution: an approach with low gate and measurement complexity
- A Convergence Theory for Over-parameterized Variational Quantum Eigensolvers
- Improved variational quantum eigensolver via quasi-dynamical evolution
- Quantum computing for classical problems: Variational Quantum Eigensolver for activated processes
- Estimating Gibbs partition function with quantumClifford sampling
- Exact electronic states with shallow quantum circuits through global optimisation