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Single-ancilla ground state preparation via Lindbladians

Zhiyan Ding, Chi-Fang Chen, Lin Lin

2024Physical Review Research53 citationsDOIOpen Access PDF

Abstract

We design a quantum algorithm for ground state preparation in the early fault tolerant regime. As a Monte Carlo style quantum algorithm, our method features a Lindbladian where the target state is stationary. The construction of this Lindbladian is algorithmic and should not be seen as a specific approximation to some weakly coupled system-bath dynamics in nature. Our algorithm can be implemented using just one ancilla qubit and efficiently simulated on a quantum computer. It can prepare the ground state even when the initial state has zero overlap with the ground state, bypassing the most significant limitation of methods like quantum phase estimation. As a variant, we also propose a discrete-time algorithm, demonstrating even better efficiency and providing a near-optimal simulation cost depending on the desired evolution time and precision. Numerical simulations using Ising and Hubbard models demonstrate the efficacy and applicability of our method. Published by the American Physical Society 2024

Topics & Concepts

Ground stateComputer scienceQubitQuantumIsing modelState (computer science)Quantum Monte CarloMonte Carlo methodAlgorithmStatistical physicsQuantum computerPhysicsMathematicsQuantum mechanicsStatisticsQuantum Computing Algorithms and ArchitectureQuantum Information and CryptographyQuantum many-body systems
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