14 citations · 15 across the 6 of their papers we have counts for
6 papers
Double-bracket quantum algorithms for thermal state preparation
Andrew Wright, Reyhaneh Aghaei Saem, Supanut Thanasilp +2
We propose quantum algorithms for preparing thermal states via the simulation of the thermofield double states. The key idea is to leverage double-bracket quantum algorithms to imp…
Thermal State Simulation with Pauli and Majorana Propagation
Manuel S. Rudolph, Armando Angrisani, Andrew Wright +3
We introduce a propagation-based approach to thermal state simulation by adapting Pauli and Majorana propagation to imaginary-time evolution in the Schrödinger picture. Our key obs…
Strategies for optimizing double-bracket quantum algorithms
Li Xiaoyue, Matteo Robbiati, Andrea Pasquale +4
Recently double-bracket quantum algorithms have been proposed as a way to compile circuits for approximating eigenstates. Physically, they consist of appropriately composing evolut…
Double-bracket quantum algorithms for high-fidelity ground state preparation
Matteo Robbiati, Edoardo Pedicillo, Andrea Pasquale +13
Ground state preparation is a central application for quantum computers but remains challenging in practice. In this work, we quantitatively investigate the performance and gate co…
T-Count Optimizing Genetic Algorithm for Quantum State Preparation
Andrew Wright, Marco Lewis, Paolo Zuliani +1
Quantum state preparation is a crucial process within numerous quantum algorithms, and the need for efficient initialization of quantum registers is ever increasing as demand for u…
Benchmarking treewidth as a practical component of tensor-network--based quantum simulation
Eugene F. Dumitrescu, Allison L. Fisher, Timothy D. Goodrich +3
Tensor networks are powerful factorization techniques which reduce resource requirements for numerically simulating principal quantum many-body systems and algorithms. The computat…