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20182026
most citedBenchmarking treewidth as a practical component of tensor-network--based quantum simulation

14 citations · 15 across the 6 of their papers we have counts for

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5 papers · 1 filter

quant-ph2026

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…

quant-ph2026

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…

quant-ph2024

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…

quant-ph2024

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…

quant-ph2024★ 1 cited

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…