Eric R. Anschuetz
Eric R. Anschuetz
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Atom-by-atom assembly of defect-free one-dimensional cold atom arrays
M Endres, H Bernien, A Keesling, H Levine, ER Anschuetz, A Krajenbrink, ...
Science 354 (6315), 1024-1027, 2016
Variational Quantum Factoring
E Anschuetz, J Olson, A Aspuru-Guzik, Y Cao
Quantum Technology and Optimization Problems 2019, 74–85, 2018
Enhancing Generative Models via Quantum Correlations
X Gao, ER Anschuetz, ST Wang, JI Cirac, MD Lukin
Physical Review X 12 (2), 021037, 2022
Critical Points in Quantum Generative Models
ER Anschuetz
International Conference on Learning Representations, 2022
Beyond Barren Plateaus: Quantum Variational Algorithms Are Swamped With Traps
ER Anschuetz, BT Kiani
arXiv preprint arXiv:2205.05786, 2022
Coreset Clustering on Small Quantum Computers
T Tomesh, P Gokhale, ER Anschuetz, FT Chong
Electronics 10 (14), 1690, 2021
Near-term quantum-classical associative adversarial networks
ER Anschuetz, C Zanoci
Physical Review A 100 (5), 052327, 2019
Realizing Quantum Boltzmann Machines Through Eigenstate Thermalization
ER Anschuetz, Y Cao
arXiv preprint arXiv:1903.01359, 2019
Using Spectral Graph Theory to Map Qubits onto Connectivity-limited Devices
JX Lin, ER Anschuetz, AW Harrow
ACM Transactions on Quantum Computing 2 (1), 1–30, 2021
ORQVIZ: Visualizing High-Dimensional Landscapes in Variational Quantum Algorithms
MS Rudolph, S Sim, A Raza, M Stechly, JR McClean, ER Anschuetz, ...
arXiv preprint arXiv:2111.04695, 2021
Hybrid Quantum-Classical Computer System for Implementing and Optimizing Quantum Boltzmann Machines
ER Anschuetz, Y Cao
US Patent App. 16/662,895, 2020
Hybrid Quantum-Classical Computer System and Method for Performing Function Inversion
Y Cao, JP Olson, ER Anschuetz
US Patent App. 16/543,478, 2020
Efficient classical algorithms for simulating symmetric quantum systems
ER Anschuetz, A Bauer, BT Kiani, S Lloyd
arXiv preprint arXiv:2211.16998, 2022
Quantum computer system and method for performing quantum computation with reduced circuit depth
ER Anschuetz, Y Cao
US Patent App. 17/640,633, 2022
Interpretable Quantum Advantage in Neural Sequence Learning
ER Anschuetz, HY Hu, JL Huang, X Gao
arXiv preprint arXiv:2209.14353, 2022
Training Quantum Boltzmann Machines with Coresets
J Viszlai, T Tomesh, P Gokhale, E Anschuetz, FT Chong
2022 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2022
Degeneracy engineering for classical and quantum annealing: A case study of sparse linear regression in collider physics
ER Anschuetz, L Funcke, PT Komiske, S Kryhin, J Thaler
Physical Review D 106 (5), 056008, 2022
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