Abstracts
Poster Abstracts | Talk Abstracts
qubit-ADAPT-VQE: An adaptive algorithm for constructing hardware-efficient ansätze on a quantum processor
Presenting Author: Ho Lun Tang, Virginia Tech
Contributing Author(s): Harper R. Grimsley, Nicholas J. Mayhall, Edwin Barnes, Sophia E. Economou
Quantum simulation, one of the most promising applications of a quantum computer, is currently pursued on noisy intermediate-scale quantum (NISQ) devices. The variational quantum eigensolver is extensively used for finding the ground state energy of molecular Hamiltonians. The feasibility and performance of this algorithm depend critically on the depths of the state preparation circuits that create the ansatz on the quantum processor and on the number of variational parameters in this ansatz. Recently, an algorithm termed ADAPT-VQE was introduced to build system-adapted ansätze with substantially fewer variational parameters compared to other approaches. ADAPT-VQE provides a way to create an ansatz iteratively based on a predetermined operator pool, from which the algorithm selects the most important to apply at each step. However, deep state preparation circuits remain a challenge. Here, we present a hardware-efficient variant of this algorithm called qubit-ADAPT. By numerical simulations on various molecules, we show that qubit-ADAPT can reduce the circuit depth by one order of magnitude while maintaining the same accuracy as the original ADAPT-VQE. Addressing the high measurement cost, which is proportional to the size of the operator pool, we show how to construct a sufficient pool with size linear in the number of qubits. This result highlights the promise of adaptive simulation algorithms on near-term quantum devices.
(Session : from 5:00pm - 7:00pm)
- Home
- Registration
- SQuInT
- Program
- Lodging and Transportation
- Conference Center Map (.pdf)
- Instructions for Presenters
- Bulletin Board
- Past SQuInT Meetings
SQuInT Chief Organizer
Akimasa Miyake, Associate Professor
amiyake@unm.edu
SQuInT Co-Organizer
Brian Smith, Associate Professor UO
bjsmith@uoregon.edu
SQuInT Program Committee
Postdoctoral Fellows:
Markus Allgaier (UO OMQ)
Sayonee Ray (UNM CQuIC)
Pablo Poggi (UNM CQuIC)
Valerian Thiel (UO OMQ)
SQuInT Event Co-Organizers (Oregon)
Jorjie Arden
jarden@uoregon.edu
Holly Lynn
hollylyn@uoregon.edu
Brandy Todd
SQuInT Administrator (CQuIC)
Gloria Cordova
gjcordo1@unm.edu
505 277-1850
SQuInT Founder
Ivan Deutsch, Regents' Professor, CQuIC Director
ideutsch@unm.edu