activity
20232026
most citedConstant-depth preparation of matrix product states with adaptive quantum circuits

51 citations · 61 across the 5 of their papers we have counts for

collaborators

5 papers

quant-ph2026

Measurement-Based Preparation of Higher-Dimensional AKLT States and Their Quantum Computational Power

Wenhan Guo, Mikhail Litvinov, Tzu-Chieh Wei +2

We investigate a constant-time, fusion measurement-based scheme to create AKLT states beyond one dimension. We show that it is possible to prepare such states on a given graph up t…

physics.chem-ph2024

Quantum Hardware-Enabled Molecular Dynamics via Transfer Learning

Abid Khan, Prateek Vaish, Yaoqi Pang +8

The ability to perform ab initio molecular dynamics simulations using potential energies calculated on quantum computers would allow virtually exact dynamics for chemical and bioch…

physics.bio-ph2024

Segmentation of dense and multi-species bacterial colonies using models trained on synthetic microscopy images

Vincent Hickl, Abid Khan, René M. Rossi +2

The spread of microbial infections is governed by the self-organization of bacteria on surfaces. Limitations of live imaging techniques make collective behaviors in clinically rele…

quant-ph2024★ 51 cited

Constant-depth preparation of matrix product states with adaptive quantum circuits

Kevin C. Smith, Abid Khan, Bryan K. Clark +2

Adaptive quantum circuits, which combine local unitary gates, midcircuit measurements, and feedforward operations, have recently emerged as a promising avenue for efficient state p…

quant-ph2023★ 10 cited

Pre-optimizing variational quantum eigensolvers with tensor networks

Abid Khan, Bryan K. Clark, Norm M. Tubman

The variational quantum eigensolver (VQE) is a promising algorithm for demonstrating quantum advantage in the noisy intermediate-scale quantum (NISQ) era. However, optimizing VQE f…