Universal quantum computation using quantum annealing with the transverse-field Ising Hamiltonian

TL;DR

This paper proposes a method to achieve universal quantum computation using quantum annealing with the transverse-field Ising Hamiltonian, enabling large-scale quantum computing on existing annealing devices.

Contribution

It introduces a novel adiabatic transformation technique to implement universal quantum gates within the quantum annealing framework, bridging the gap between annealing and gate-based quantum computing.

Findings

Compatible with D-Wave devices with 5000+ qubits

Enables universal quantum computation via Hamiltonian transformation

Provides a scalable approach for large-scale quantum computers

Abstract

Quantum computation is a promising emerging technology, and by utilizing the principles of quantum mechanics, it is expected to achieve faster computations than classical computers for specific problems. There are two distinct architectures for quantum computation: gate-based quantum computers and quantum annealing. In gate-based quantum computation, we implement a sequence of quantum gates that manipulate qubits. This approach allows us to perform universal quantum computation, yet they pose significant experimental challenges for large-scale integration. On the other hand, with quantum annealing, the solution of the optimization problem can be obtained by preparing the ground state. Conventional quantum annealing devices with transverse-field Ising Hamiltonian, such as those manufactured by D-Wave Inc., achieving around 5000 qubits, are relatively more amenable to large-scale integration but are limited to specific computations. In this paper, we present a practical method for implementing universal quantum computation within the conventional quantum annealing architecture using the transverse-field Ising Hamiltonian. Our innovative approach relies on an adiabatic transformation of the Hamiltonian, changing from transverse fields to a ferromagnetic interaction regime, where the ground states become degenerate. Notably, our proposal is compatible with D-Wave devices, opening up possibilities for realizing large-scale gate-based quantum computers. This research bridges the gap between conventional quantum annealing and gate-based quantum computation, offering a promising path toward the development of scalable quantum computing platforms.