Qubit-excitation-based adaptive variational quantum eigensolver
arXiv:2011.10540 · doi:10.1038/s42005-021-00730-0
Abstract
Molecular simulations with the variational quantum eigensolver (VQE) are a promising application for emerging noisy intermediate-scale quantum computers. Constructing accurate molecular ansätze that are easy to optimize and implemented by shallow quantum circuits is crucial for the successful implementation of such simulations. Ansätze are, generally, constructed as series of fermionic-excitation evolutions. Instead, we demonstrate the usefulness of constructing ansätze with "qubit-excitation evolutions", which, contrary to fermionic excitation evolutions, obey "qubit commutation relations". We show that qubit excitation evolutions, despite the lack of some of the physical features of fermionic excitation evolutions, accurately construct ansätze, while requiring asymptotically fewer gates. Utilizing qubit excitation evolutions, we introduce the qubit-excitation-based adaptive (QEB-ADAPT)-VQE protocol. The QEB-ADAPT-VQE is a modification of the ADAPT-VQE that performs molecular simulations using a problem-tailored ansatz, grown iteratively by appending evolutions of qubit excitation operators. By performing classical numerical simulations for small molecules, we benchmark the QEB-ADAPT-VQE, and compare it against the original fermionic-ADAPT-VQE and the qubit-ADAPT-VQE. In terms of circuit efficiency and convergence speed, we demonstrate that the QEB-ADAPT-VQE outperforms the qubit-ADAPT-VQE, which to our knowledge was the previous most circuit-efficient scalable VQE protocol for molecular simulations.
References in corpus (37)
- 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
- Variational Quantum Algorithms
- 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
- Simulated Quantum Computation of Molecular Energies
- Cost Function Dependent Barren Plateaus in Shallow Parametrized Quantum Circuits
- An adaptive variational algorithm for exact molecular simulations on a quantum computer
- Fermionic quantum computation
- The power of quantum neural networks
- Extending the computational reach of a noisy superconducting quantum processor
- Noise-Induced Barren Plateaus in Variational Quantum Algorithms
- Self-Verifying Variational Quantum Simulation of the Lattice Schwinger Model
- Optimal Quantum Phase Estimation
- Simulation of Electronic Structure Hamiltonians Using Quantum Computers
- Generalized Unitary Coupled Cluster Wavefunctions for Quantum Computation
- Training variational quantum algorithms is NP-hard
- qubit-ADAPT-VQE: An adaptive algorithm for constructing hardware-efficient ansatze on a quantum processor
- Quantum algorithms for electronic structure calculations: particle/hole Hamiltonian and optimized wavefunction expansions
- IBM Q Experience as a versatile experimental testbed for simulating open quantum systems
- Accelerated Variational Quantum Eigensolver
- Is the Trotterized UCCSD Ansatz chemically well-defined?
- Quantum Orbital-Optimized Unitary Coupled Cluster Methods in the Strongly Correlated Regime: Can Quantum Algorithms Outperform their Classical Equivalents?
- Gate-efficient simulation of molecular eigenstates on a quantum computer
- On the difference between variational and unitary coupled cluster theories
- Efficient quantum circuits for quantum computational chemistry
- Classical Optimizers for Noisy Intermediate-Scale Quantum Devices
- Adaptive pruning-based optimization of parameterized quantum circuits
- Qubits as Parafermions
- Benchmarking adaptive variational quantum eigensolvers
- An efficient adaptive variational quantum solver of the Schrodinger equation based on reduced density matrices
- Preserving Symmetries for Variational Quantum Eigensolvers in the Presence of Noise
- Exact Two-body Expansion of the Many-particle Wave Function
Cited by in corpus (68)
- The Variational Quantum Eigensolver: a review of methods and best practices
- Performance comparison of optimization methods on variational quantum algorithms
- Quantum computing of the Li nucleus via ordered unitary coupled clusters
- Variational Quantum Eigensolver with Reduced Circuit Complexity
- Variational Quantum-Neural Hybrid Eigensolver
- Overlap-ADAPT-VQE: Practical Quantum Chemistry on Quantum Computers via Overlap-Guided Compact Ansätze
- TETRIS-ADAPT-VQE: An adaptive algorithm that yields shallower, denser circuit ansätze
- Quantifying the effect of gate errors on variational quantum eigensolvers for quantum chemistry
- Quantum utility -- definition and assessment of a practical quantum advantage
- Optimizing quantum circuits with Riemannian gradient flow
- Unitary Selective Coupled-Cluster Method
- Avoiding symmetry roadblocks and minimizing the measurement overhead of adaptive variational quantum eigensolvers
- Classification of dynamical Lie algebras for translation-invariant 2-local spin systems in one dimension
- Filtering states with total spin on a quantum computer
- Hierarchical quantum circuit representations for neural architecture search
- Sparse Quantum State Preparation for Strongly Correlated Systems
- Comparative study of adaptive variational quantum eigensolvers for multi-orbital impurity models
- Adaptive construction of shallower quantum circuits with quantum spin projection for fermionic systems
- Quantum algorithms for scientific computing
- Improved variational quantum eigensolver via quasi-dynamical evolution
- QChemistry: A quantum computation platform for quantum chemistry
- Reducing the Resources Required by ADAPT-VQE Using Coupled Exchange Operators and Improved Subroutines
- Exploring Parameter Redundancy in the Unitary Coupled-Cluster Ansatze for Hybrid Variational Quantum Computing
- Dynamic-ADAPT-QAOA: An algorithm with shallow and noise-resilient circuits
- Spin coupling is all you need: Encoding strong electron correlation in molecules on quantum computers
- Physically motivated improvements of Variational Quantum Eigensolvers
- Unitary Coupled Cluster: Seizing the Quantum Moment
- Adaptive projected variational quantum dynamics
- Towards chemical accuracy with shallow quantum circuits: A Clifford-based Hamiltonian engineering approach
- Layering and subpool exploration for adaptive Variational Quantum Eigensolvers: Reducing circuit depth, runtime, and susceptibility to noise
- Quantum Computed Green's Functions using a Cumulant Expansion of the Lanczos Method
- Classical Pre-optimization Approach for ADAPT-VQE: Maximizing the Potential of High-Performance Computing Resources to Improve Quantum Simulation of Chemical Applications
- A Quantum Algorithmic Approach to Multiconfigurational Valence Bond Theory: Insights from Interpretable Circuit Design
- Fast gradient-free optimization of excitations in variational quantum eigensolvers
- Fermionic Adaptive Sampling Theory for Variational Quantum Eigensolvers
- Shortcut to Chemically Accurate Quantum Computing via Density-based Basis-set Correction
- Calculating the energy profile of an enzymatic reaction on a quantum computer
- Greedy Gradient-free Adaptive Variational Quantum Algorithms on a Noisy Intermediate Scale Quantum Computer
- Parameterization and optimizability of pulse-level VQEs
- Adaptive variational quantum computing approaches for Green's functions and nonlinear susceptibilities
- Optimization strategies in WAHTOR algorithm for quantum computing empirical ansatz: a comparative study
- Determining the N-representability of a reduced density matrix via unitary evolution and stochastic sampling
- Energy Landscape Plummeting in Variational Quantum Eigensolver: Subspace Optimization, Non-iterative Corrections and Generator-informed Initialization for Improved Quantum Efficiency
- Non-Iterative Disentangled Unitary Coupled-Cluster based on Lie-algebraic structure
- Cascaded variational quantum eigensolver algorithm
- Reducing measurement costs by recycling the Hessian in adaptive variational quantum algorithms
- Compact Multi-Threshold Quantum Information Driven Ansatz For Strongly Interactive Lattice Spin Models
- Simulating methylamine using symmetry adapted qubit-excitation-based variational quantum eigensolver
- Bridging Quantum Computing and Nuclear Structure: Atomic Nuclei on a Trapped-Ion Quantum Computer
- Limitations of Quantum Hardware for Molecular Energy Estimation Using VQE
- Measuring Correlation and Entanglement between Molecular Orbitals on a Trapped-Ion Quantum Computer
- Efficient Berry Phase Calculation via Adaptive Variational Quantum Computing Approach
- Mitigating the measurement overhead of ADAPT-VQE with optimised informationally complete generalised measurements
- Orbital Expansion Variational Quantum Eigensolver: Enabling Efficient Simulation of Molecules with Shallow Quantum Circuit
- Parallelized Givens Ansatz for Molecular ground-states: Bridging Accuracy and Efficiency on NISQ Platforms
- Improved Strategies for Fermionic Quantum Simulation with Global Interactions
- Counterdiabatic ADAPT-VQE for molecular simulation
- Quantum State Preparation Of Multiconfigurational States For Quantum Chemistry
- Determining the ensemble N-representability of Reduced Density Matrices
- Shot-Efficient ADAPT-VQE via Reused Pauli Measurements and Variance-Based Shot Allocation
- Qubit encodings for lattices of dipolar planar rotors
- Using optimal control to guide neural-network interpolation of continuously-parameterized gates
- Evaluating Ground State Energies of Chemical Systems with Low-Depth Quantum Circuits and High Accuracy
- Slice-Wise Initial State Optimization to Improve Cost and Accuracy of the VQE on Lattice Models
- Benchmarking Quantum Simulation of Chemical Hamiltonians using the Sorted-List Encoding
- Exploring fixed points and eigenstates of quantum systems with reinforcement learning
- Many-Fermion Simulation from the Contracted Quantum Eigensolver without Fermionic Encoding of the Wave Function
- Hamiltonian Expressibility for Ansatz Selection in Variational Quantum Algorithms