PANSATZ: Pulse-based Ansatz for Variational Quantum Algorithms
arXiv:2212.12911 · doi:10.3389/frqst.2023.1273581
Abstract
We develop and implement a novel pulse-based ansatz, which we call PANSATZ, for more efficient and accurate implementations of variational quantum algorithms (VQAs) on today's noisy intermediate-scale quantum (NISQ) computers. Our approach is applied to quantum chemistry. Specifically, finding the ground-state energy associated with the electron configuration problem, using the variational quantum eigensolver (VQE) algorithm for several molecules. We manage to achieve chemical accuracy both in simulation for several molecules and on one of IBM's NISQ devices for the molecule in the STO-3G basis. Our results are compared to a gate-based ansatz and show significant latency reduction - up to shorter ansatz schedules. We also show that this ansatz has structured adaptivity to the entanglement level required by the problem.
References in corpus (34)
- Quantum Computing in the NISQ era and beyond
- A variational eigenvalue solver on a quantum processor
- Variational Quantum Algorithms
- Hardware-efficient Variational Quantum Eigensolver for Small Molecules and Quantum Magnets
- The theory of variational hybrid quantum-classical algorithms
- A Quantum Engineer's Guide to Superconducting Qubits
- A Quantum Approximate Optimization Algorithm
- Noisy intermediate-scale quantum (NISQ) algorithms
- Error mitigation for short-depth quantum circuits
- The Variational Quantum Eigensolver: a review of methods and best practices
- An adaptive variational algorithm for exact molecular simulations on a quantum computer
- Simple pulses for elimination of leakage in weakly nonlinear qubits
- Scalable Quantum Simulation of Molecular Energies
- Efficient variational quantum simulator incorporating active error minimisation
- Efficient Z-Gates for Quantum Computing
- Procedure for systematically tuning up crosstalk in the cross resonance gate
- A simple all-microwave entangling gate for fixed-frequency superconducting qubits
- Analytic control methods for high fidelity unitary operations in a weakly nonlinear oscillator
- Process verification of two-qubit quantum gates by randomized benchmarking
- Effective Hamiltonian models of the cross-resonance gate
- Qiskit Pulse: Programming Quantum Computers Through the Cloud with Pulses
- From pulses to circuits and back again: A quantum optimal control perspective on variational quantum algorithms
- Pulse-efficient circuit transpilation for quantum applications on cross-resonance-based hardware
- Quantum-optimal-control-inspired ansatz for variational quantum algorithms
- Efficient correction of multiqubit measurement errors
- Effects of Dynamical Decoupling and Pulse-level Optimizations on IBM Quantum Computers
- Measurement Error Mitigation for Variational Quantum Algorithms
- Pulse based Variational Quantum Optimal Control for hybrid quantum computing
- Analyzing the impact of time-correlated noise on zero-noise extrapolation
- Evaluation of Parameterized Quantum Circuits with Cross-Resonance Pulse-Driven Entanglers
- Algorithms for perturbative analysis and simulation of quantum dynamics
- Cross-resonance interactions between superconducting qubits with variable detuning
- Minimizing state preparation times in pulse-level variational molecular simulations
- Differentiable Analog Quantum Computing for Optimization and Control
Cited by in corpus (4)
- State preparation of lattice field theories using quantum optimal control
- SHARC-VQE: Simplified Hamiltonian Approach with Refinement and Correction enabled Variational Quantum Eigensolver for Molecular Simulation
- Parameterization and optimizability of pulse-level VQEs
- Minimal evolution times for fast, pulse-based state preparation in silicon spin qubits