activity
20212023
most citedDeep learning of many-body observables and quantum information scrambling

12 citations · 18 across the 4 of their papers we have counts for

collaborators

5 papers

quant-ph2023★ 12 cited

Deep learning of many-body observables and quantum information scrambling

Naeimeh Mohseni, Junheng Shi, Tim Byrnes +1

Machine learning has shown significant breakthroughs in quantum science, where in particular deep neural networks exhibited remarkable power in modeling quantum many-body systems.…

quant-ph2022

Simple determination of dark states in a general multi-level system

Kaixuan Zhou, June Wu, Junheng Shi +1

In a multi-level energy system with energy transitions, dark states are eigenstates of a Hamiltonian that consist entirely of ground states, with zero amplitude in the excited stat…

quant-ph2022

Quantum supremacy with spin squeezed atomic ensembles

Yueheng Shi, Junheng Shi, Tim Byrnes

We propose a method to achieve quantum supremacy using ensembles of qubits, using only spin squeezing, basis rotations, and Fock state measurements. Each ensemble is assumed to be…

quant-ph2022

Measurement-based deterministic imaginary time evolution

Yuping Mao, Manish Chaudhary, Manikandan Kondappan +4

We introduce a method to perform imaginary time evolution in a controllable quantum system using measurements and conditional unitary operations. By performing a sequence of weak m…

quant-ph2021★ 6 cited

Gaussian boson sampling with partial distinguishability

Junheng Shi, Tim Byrnes

Gaussian boson sampling (GBS) allows for a way to demonstrate quantum supremacy with the relatively modest experimental resources of squeezed light sources, linear optics, and phot…