Bulletin of the American Physical Society
2024 APS March Meeting
Monday–Friday, March 4–8, 2024; Minneapolis & Virtual
Session Y49: Quantum Annealing and Quantum Inspired Classical Algorithms
8:00 AM–10:48 AM,
Friday, March 8, 2024
Room: 200G
Sponsoring
Unit:
DQI
Chair: Kyle Sherbert, Virginia Tech
Abstract: Y49.00004 : Universal quantum computation using quantum annealing with transverse field Ising Hamiltonian
9:00 AM–9:12 AM
Presenter:
Takashi Imoto
(National Institute of Advanced Industrial Science and Techno)
Authors:
Takashi Imoto
(National Institute of Advanced Industrial Science and Techno)
Yuki Susa
(NEC Corp)
Ryoji Miyazaki
(NEC Corp)
Tadashi Kadowaki
(National Institute of Advanced Industrial Science and Technology)
Yuichiro Matsuzaki
(Department of Electrical, Electronic, and Communication Engineering, Faculty of Science and Engineering, Chuo University)
In contrast, quantum annealing offers an alternative approach, focused on solving combinatorial optimization problems by preparing the ground state of an Ising Hamiltonian. Quantum annealers, such as those developed by D-Wave Systems, have made thousands of qubits available for such tasks. Yet, achieving universal quantum computation with the quantum annealing architecture requires many ancillary qubits and complicated interactions, rendering it impractical with current technology.
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-type quantum computers.
This research bridges the gap between quantum annealing and gate-type quantum computation, offering a promising path toward the development of scalable quantum computing platforms.
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