activity
20062026
most citedConstructing local integrals of motion in the many-body localized phase

308 citations · 1.8k across the 76 of their papers we have counts for

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Showing 2024Show all

13 papers · 1 filter

quant-ph2024★ 2 cited

Domain walls from SPT-sewing

Yabo Li, Zijian Song, Aleksander Kubica +1

We introduce a systematic method for constructing gapped domain walls of topologically ordered systems by gauging a lower-dimensional symmetry-protected topological (SPT) order. Ba…

quant-ph2024★ 1 cited

Learning State Preparation Circuits for Quantum Phases of Matter

Hyun-Soo Kim, Isaac H. Kim, Daniel Ranard

Many-body ground state preparation is an important subroutine used in the simulation of physical systems. In this paper, we introduce a flexible and efficient framework for obtaini…

quant-ph2024★ 8 cited

Code switching revisited: Low-overhead magic state preparation using color codes

Lucas Daguerre, Isaac H. Kim

We propose a protocol to prepare a high-fidelity magic state on a two-dimensional (2D) color code using a three-dimensional (3D) color code. Our method modifies the known code swit…

quant-ph2024★ 2 cited

On the energy barrier of hypergraph product codes

Guangqi Zhao, Andrew C. Doherty, Isaac H. Kim

A macroscopic energy barrier is a necessary condition for self-correcting quantum memory. In this paper, we prove tight bounds on the energy barrier applicable to any quantum code…

quant-ph2024

Geometric additivity of modular commutator for multipartite entanglement

Sung-Min Park, Isaac H. Kim, Eun-Gook Moon

A recent surge of research in many-body quantum entanglement has uncovered intriguing properties of quantum many-body systems. A prime example is the modular commutator, which can…

quant-ph2024★ 2 cited

Non-unitary Coupled Cluster Enabled by Mid-circuit Measurements on Quantum Computers

Alexandre Fleury, James Brown, Erika Lloyd +2

Many quantum algorithms rely on a quality initial state for optimal performance. Preparing an initial state for specific applications can considerably reduce the cost of probabilis…