SpacePulse: Combining Parameterized Pulses and Contextual Subspace for More Practical VQE

TL;DR

SpacePulse innovatively combines parameterized quantum pulses with the contextual subspace method to improve the efficiency and scalability of VQE for larger molecular systems.

Contribution

It introduces a novel framework integrating quantum pulses with contextual subspace techniques, reducing resource requirements for VQE.

Findings

Reduces quantum resource cost for VQE

Enables access to larger Hilbert space regions

Improves efficiency in molecular simulations

Abstract

In this paper, we explore the integration of parameterized quantum pulses with the contextual subspace method. The advent of parameterized quantum pulses marks a transition from traditional quantum gates to a more flexible and efficient approach to quantum computing. Working with pulses allows us to potentially access areas of the Hilbert space that are inaccessible with a CNOT-based circuit decomposition. Compared to solving the complete Hamiltonian via the traditional Variational Quantum Eigensolver (VQE), the computation of the contextual correction generally requires fewer qubits and measurements, thus improving computational efficiency. Plus a Pauli grouping strategy, our framework, SpacePulse, can minimize the quantum resource cost for the VQE and enhance the potential for processing larger molecular structures.