Chemistry on quantum computers with virtual quantum subspace expansion
arXiv:2002.12902 · doi:10.1021/acs.jctc.0c00447
Abstract
Simulating chemical systems on quantum computers has been limited to a few electrons in a minimal basis. We demonstrate experimentally that the virtual quantum subspace expansion [Phys. Rev. X 10, 011004 (2020)] can achieve full basis accuracy for hydrogen and lithium dimers, comparable to simulations requiring twenty or more qubits. We developed an approach to minimize the impact of experimental noise on the stability of the generalized eigenvalue problem, a crucial component of the quantum algorithm. In addition, we were able to obtain an accurate potential energy curve for the nitrogen dimer in a quantum simulation on a classical computer.
References in corpus (26)
- 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
- Simulated Quantum Computation of Molecular Energies
- An adaptive variational algorithm for exact molecular simulations on a quantum computer
- Scalable Quantum Simulation of Molecular Energies
- Elucidating Reaction Mechanisms on Quantum Computers
- Self-Verifying Variational Quantum Simulation of the Lattice Schwinger Model
- Hybrid Quantum-Classical Hierarchy for Mitigation of Decoherence and Determination of Excited States
- 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
- Cloud Quantum Computing of an Atomic Nucleus
- Quantum Computation of Electronic Transitions using a Variational Quantum Eigensolver
- Quantum Implementation of Unitary Coupled Cluster for Simulating Molecular Electronic Structure
- Low-cost error mitigation by symmetry verification
- Witnessing eigenstates for quantum simulation of Hamiltonian spectra
- Increasing the representation accuracy of quantum simulations of chemistry without extra quantum resources
- 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
- A Jastrow-type decomposition in quantum chemistry for low-depth quantum circuits
- Classical Optimizers for Noisy Intermediate-Scale Quantum Devices
- Scalar Quantum Field Theories as a Benchmark for Near-Term Quantum Computers
Cited by in corpus (25)
- Quantum Error Mitigation
- Fermionic partial tomography via classical shadows
- Near-Term Quantum Computing Techniques: Variational Quantum Algorithms, Error Mitigation, Circuit Compilation, Benchmarking and Classical Simulation
- Real time evolution for ultracompact Hamiltonian eigenstates on quantum hardware
- Quantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions
- Quantum HF/DFT-Embedding Algorithms for Electronic Structure Calculations: Scaling up to Complex Molecular Systems
- Quantum-Classical Hybrid Algorithm for the Simulation of All-Electron Correlation
- Real-Time Krylov Theory for Quantum Computing Algorithms
- Improving the Accuracy of the Variational Quantum Eigensolver for Molecular Systems by the Explicitly-Correlated Perturbative [2]-R12-Correction
- Quantum-Selected Configuration Interaction: classical diagonalization of Hamiltonians in subspaces selected by quantum computers
- Diagonalization of large many-body Hamiltonians on a quantum processor
- The Basics of Quantum Computing for Chemists
- Analysis of quantum Krylov algorithms with errors
- Beyond MP2 initialization for unitary coupled cluster quantum circuits
- Simulation of a Diels-Alder Reaction on a Quantum Computer
- A Quantum Algorithmic Approach to Multiconfigurational Valence Bond Theory: Insights from Interpretable Circuit Design
- Unleashed from Constrained Optimization: Quantum Computing for Quantum Chemistry Employing Generator Coordinate Inspired Method
- Local, Expressive, Quantum-Number-Preserving VQE Ansatze for Fermionic Systems
- Flexibility of the factorized form of the unitary coupled cluster ansatz
- Analytical Ground- and Excited-State Gradients for Molecular Electronic Structure Theory from Hybrid Quantum/Classical Methods
- Estimating molecular thermal averages with the quantum equation of motion and informationally complete measurements
- Quantum subspace expansion approach for simulating dynamical response functions of Kitaev spin liquids
- Efficient Quantum Simulation of Non-Adiabatic Molecular Dynamics with Precise Electronic Structure
- Classically-Boosted Variational Quantum Eigensolver
- Variational Quantum Subspace Construction via Symmetry-Preserving Cost Functions