Error mitigation, optimization, and extrapolation on a trapped ion testbed
arXiv:2307.07027 · doi:10.1103/PhysRevA.110.032416
Abstract
Current noisy intermediate-scale quantum (NISQ) trapped-ion devices are subject to errors which can significantly impact the accuracy of calculations if left unchecked. A form of error mitigation called zero noise extrapolation (ZNE) can decrease an algorithm's sensitivity to these errors without increasing the number of required qubits. Here, we explore different methods for integrating this error mitigation technique into the Variational Quantum Eigensolver (VQE) algorithm for calculating the ground state of the HeH+ molecule at 0.8 Angstrom in the presence of realistic noise. Using the Quantum Scientific Computing Open User Testbed (QSCOUT) trapped-ion device, we test three methods of scaling noise for extrapolation: time-stretching the two-qubit gates, scaling the sideband amplitude parameter, and inserting two-qubit gate identity operations into the ansatz circuit. We find time-stretching and sideband amplitude scaling fail to scale the noise on our particular hardware in a way that can be directly extrapolated to zero noise. Scaling our noise with global gate identity insertions and extrapolating after variational optimization, we achieve an estimate of the ground state energy within -0.004 +- 0.04 Hartree; outside chemical accuracy, but greatly improved over our non-error-mitigated estimate with error 0.127 +- 0.008 Hartree. Our results show that the efficacy of this error mitigation technique depends on choosing the correct implementation for a given device architecture.
21 pages, 13 figures
References in corpus (28)
- 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"
- Polynomial-Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum Computer
- A variational eigenvalue solver on a quantum processor
- Hardware-efficient Variational Quantum Eigensolver for Small Molecules and Quantum Magnets
- 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
- Error mitigation for short-depth quantum circuits
- Characterizing Quantum Supremacy in Near-Term Devices
- Extending the computational reach of a noisy superconducting quantum processor
- Scalable Quantum Simulation of Molecular Energies
- Efficient variational quantum simulator incorporating active error minimisation
- Quantum Error Mitigation
- Benchmarking an 11-qubit quantum computer
- Quantum chemistry calculations on a trapped-ion quantum simulator
- Cloud Quantum Computing of an Atomic Nucleus
- Scalable error mitigation for noisy quantum circuits produces competitive expectation values
- Resource Efficient Zero Noise Extrapolation with Identity Insertions
- On the difference between variational and unitary coupled cluster theories
- Quantum implementation of an artificial feed-forward neural network
- Engineering the Quantum Scientific Computing Open User Testbed (QSCOUT): Design details and user guide
- Toward convergence of effective field theory simulations on digital quantum computers
- Entanglement from tensor networks on a trapped-ion QCCD quantum computer
- Robustness of Variational Quantum Algorithms against stochastic parameter perturbation
- Characterizing and mitigating coherent errors in a trapped ion quantum processor using hidden inverses