Nonvariational ADAPT algorithm for quantum simulations
We explore a nonvariational quantum state preparation approach combined with the ADAPT operator selection strategy in the application of preparing the ground state of a desired target Hamiltonian. In this algorithm, energy gradient measurements determine both the operators and the gate parameters in...
Saved in:
| Main Authors: | Ho Lun Tang, Yanzhu Chen, Prakriti Biswas, Alicia B. Magann, Christian Arenz, Sophia E. Economou |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
American Physical Society
2025-06-01
|
| Series: | Physical Review Research |
| Online Access: | http://doi.org/10.1103/x8g1-7h1k |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Tighter lower bounds on quantum annealing times
by: Luis Pedro García-Pintos, Mrunmay Sahasrabudhe, Christian Arenz
Published: (2025-05-01) -
HamLib: A library of Hamiltonians for benchmarking quantum algorithms and hardware
by: Nicolas PD Sawaya, et al.
Published: (2024-12-01) -
Quantum Testing of Recommender Algorithms on GPU-Based Quantum Simulators
by: Chenxi Liu, et al.
Published: (2025-04-01) -
AQEA-QAS: An Adaptive Quantum Evolutionary Algorithm for Quantum Architecture Search
by: Yaochong Li, et al.
Published: (2025-07-01) -
On Classical Simulation of Quantum Circuits Composed of Clifford Gates
by: George Biswas
Published: (2024-07-01)