Chemically Aware Unitary Coupled Cluster with ab initio Calculations on System Model H1: A Refrigerant Chemicals Application
arXiv:2210.14834 · doi:10.1063/5.0144680
Abstract
Circuit depth reduction is of critical importance for quantum chemistry simulations on current and near term quantum computers. This issue is tackled by introducing a chemically aware strategy for the Unitary Coupled Cluster ansatz. The objective is to use the chemical description of a system to aid in the synthesis of a quantum circuit. We combine this approach with two flavours of Symmetry Verification for the reduction of experimental noise. These method enable the use of System Model H1 for a 6-qubit QSE (Quantum Subspace Expansion). We present (i) calculations to obtain CH4 optical spectra; (ii) an atmospheric gas reaction simulation involving CH--H--OH. Using our chemically aware UCC state-preparation strategy in tandem with state of the art symmetry verification methods, we improve device yield for CH4 at 6-qubits. This is demonstrated by a 90% improvement in two-qubit gate count and reduction in relative error to 0.2% for electronic energy calculated on System Model H1.
References in corpus (8)
- Simulated Quantum Computation of Molecular Energies
- tket : A Retargetable Compiler for NISQ Devices
- adcc: A versatile toolkit for rapid development of algebraic-diagrammatic construction methods
- How will quantum computers provide an industrially relevant computational advantage in quantum chemistry?
- Quantum chemistry simulation of ground- and excited-state properties of the sulfonium cation on a superconducting quantum processor
- Fluid fermionic fragments for optimizing quantum measurements of electronic Hamiltonians in the variational quantum eigensolver
- A Generic Compilation Strategy for the Unitary Coupled Cluster Ansatz
- Reducing the cost of energy estimation in the variational quantum eigensolver algorithm with robust amplitude estimation
Cited by in corpus (10)
- Quantum-centric computation of molecular excited states with extended sample-based quantum diagonalization
- Benchmarking Noisy Intermediate Scale Quantum Error Mitigation Strategies for Ground State Preparation of the HCl Molecule
- Solving an Industrially Relevant Quantum Chemistry Problem on Quantum Hardware
- Quantum Computed Green's Functions using a Cumulant Expansion of the Lanczos Method
- Precision ground-state energy calculation for the water molecule on a superconducting quantum processor
- Comparison of encoding schemes for quantum computing of spin chains
- Extending Quantum Computing through Subspace, Embedding and Classical Molecular Dynamics Techniques
- Quantum Machine Learning of Molecular Energies with Hybrid Quantum-Neural Wavefunction
- Quantum-Classical Auxiliary Field Quantum Monte Carlo with Matchgate Shadows on Trapped Ion Quantum Computers
- Towards Compact Wavefunctions from Quantum-Selected Configuration Interaction