Optimizing Unitary Coupled Cluster Wave Functions on Quantum Hardware: Error Bound and Resource-Efficient Optimizer
arXiv:2410.15129 · doi:10.1063/5.0299885
Abstract
In this work, we study the projective quantum eigensolver (PQE) approach to optimizing unitary coupled cluster wave functions on quantum hardware, as introduced in arXiv:2102.00345. The projective quantum eigensolver is a hybrid quantum-classical algorithm which, by optimizing a unitary coupled cluster wave function, aims at computing the ground state of many-body systems. Instead of trying to minimize the energy of the system like the variational quantum eigensolver, PQE uses projections of the Schrodinger equation to efficiently bring the trial state closer to an eigenstate of the Hamiltonian. In this work, we provide a mathematical study of the algorithm. We derive a bound relating off-diagonal coefficients (residues) of the Hamiltonian to the energy error of the algorithm and the overlap achieved by the obtained wavefunction. These bounds not only give formal guarantees to PQE, but they also allow us to formulate a well-informed convergence criterion for residue-based optimizers. We then study the classical optimization itself and derive convergence guarantees under certain conditions. We propose a new residue-based optimizer, with numerical evidence of the superiority of this new approach for H, H, BeH and LiH dissociation curves over both the optimization introduced in arXiv:2102.00345 and VQE optimized using the Broyden-Fletcher-Goldfarb-Shanno (BFGS) method.
22 pages, 11 figures
References in corpus (21)
- 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
- Predicting Many Properties of a Quantum System from Very Few Measurements
- Logical quantum processor based on reconfigurable atom arrays
- Evaluating analytic gradients on quantum hardware
- The Variational Quantum Eigensolver: a review of methods and best practices
- An adaptive variational algorithm for exact molecular simulations on a quantum computer
- Towards Practical Quantum Variational Algorithms
- Quantum error correction below the surface code threshold
- Gate count estimates for performing quantum chemistry on small quantum computers
- Is there evidence for exponential quantum advantage in quantum chemistry?
- Barren Plateaus in Variational Quantum Computing
- Exact Parameterization of Fermionic Wave Functions via Unitary Coupled Cluster Theory
- A Lie Algebraic Theory of Barren Plateaus for Deep Parameterized Quantum Circuits
- Orbital optimized unitary coupled cluster theory for quantum computer
- Chemistry Beyond the Scale of Exact Diagonalization on a Quantum-Centric Supercomputer
- A Feasible Approach for Automatically Differentiable Unitary Coupled-Cluster on Quantum Computers
- Simulating Many-Body Systems with a Projective Quantum Eigensolver
- Unraveling correlated material properties with noisy quantum computers: Natural orbitalized variational quantum eigensolving of extended impurity models within a slave-boson approach
- Optimization strategies in WAHTOR algorithm for quantum computing empirical ansatz: a comparative study