Multistate Transition Dynamics by Strong Time-Dependent Perturbation in NISQ era

TL;DR

This paper presents a hybrid quantum-classical algorithm using variational principles and efficient encoding to accurately simulate multistate transition dynamics in NISQ devices, achieving high precision with fewer qubits and time steps.

Contribution

It introduces a systematic method for constructing N-state ansatz with unary encoding and reduces qubit requirements to log2 N, improving simulation efficiency in NISQ era.

Findings

Achieved transition probability accuracy better than 1%

Reduced qubit count to log2 N using efficient encoding

Demonstrated effectiveness on hydrogenic eigenstates with strong laser pulses

Abstract

We develop a quantum computing scheme utilizing McLachlan variational principle in a hybrid quantum-classical algorithm to accurately calculate the transition dynamics of a closed quantum system with many excited states subject to a strong time-dependent perturbation. A systematic approach for optimal construction of a general N-state ansatz with unary N-qubit encoding is refined. We also utilize qubit efficient encoding in McLachlan variational quantum algorithm to reduce the number of qubits to log2 N, simultaneously diminishing depths of the quantum circuits. The significant reduction of the number of time steps is achieved by use of the second order marching method. Instrumental in obtaining high accuracy are adaptations of the circuits to include time-dependent global phase correction. We illustrated, tested and optimized our quantum computing algorithm on a set of 16 bound hydrogenic eigenstates exposed to a strong laser attosecond pulse. Results for transition probabilities are obtained with accuracy better than 1%, as established by comparison to the benchmark data. Use of interaction representation of the Hamiltonian reduces the effect of both NISQ noise and sampling errors accumulation while the quantum system evolves in time.