Abstract

The use of near-term quantum devices that lack quantum error correction, for addressing quantum chemistry and physics problems, requires hybrid quantum-classical algorithms and techniques. Here, we present a process for obtaining the eigenenergy spectrum of electronic quantum systems. This is achieved by projecting the Hamiltonian of a quantum system onto a limited effective Hilbert space specified by a set of computational bases. From this projection, an effective Hamiltonian is obtained. Furthermore, a process for preparing short depth quantum circuits to measure the corresponding diagonal and off-diagonal terms of the effective Hamiltonian is given, whereby quantum entanglement and ancilla qubits are used. The effective Hamiltonian is then diagonalized on a classical computer using numerical algorithms to obtain the eigenvalues. The use case of this approach is demonstrated for ground state and excited states of BeH2 and LiH molecules, and the density of states, which agrees well with exact solutions. Additionally, hardware demonstration is presented using IBM quantum devices for H2 molecule.

Highlights

  • Hybrid Quantum-ClassicalQuantum computers offer the ability to address problems in quantum many-body chemistry and physics by quantum simulation or in a hybrid quantum-classical approach.The latter method is considered the most promising approach for noisy-intermediate scale quantum (NISQ) devices [1]

  • One specific algorithm is the variational quantum eigensolver (VQE), which has been tremendously successful in addressing chemistry and physics problems on quantum hardware and NISQ

  • The realization of ansatz circuits that are motivated by domain knowledge, for example, the unitary coupled cluster ansatz for chemistry problems [15], may not be directly applicable on NISQ hardware, requiring clever modification to obtain hardware efficient ansätze [6,7,16]

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Summary

Introduction

Quantum computers offer the ability to address problems in quantum many-body chemistry and physics by quantum simulation or in a hybrid quantum-classical approach. The latter method is considered the most promising approach for noisy-intermediate scale quantum (NISQ) devices [1]. One specific algorithm is the variational quantum eigensolver (VQE), which has been tremendously successful in addressing chemistry and physics problems on quantum hardware and NISQ devices [4,5,6,7,8,9,10,11,12]. In order to evaluate the matrix elements of the effective Hamiltonian, suitable non-parametric quantum circuits are specified.

Background
Effective Hamiltonian and Circuit Representation
Implementing Measurements
Preparing the Computational Basis
Numerical Demonstration
Hardware Demonstration
Discussion and Summary
Full Text
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