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ORCIDEric R. Anschuetz
Person information
- affiliation: California Institute of Technology, Pasadena, CA, USA
- affiliation (PhD): Massachusetts Institute of Technology (MIT), Cambridge, MA, USA
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2020 – today
- 2025
[c5]Eric R. Anschuetz:
A Unified Theory of Quantum Neural Network Loss Landscapes. ICLR 2025- [i11]Matthew Ding, Robbie King, Bobak T. Kiani, Eric R. Anschuetz:
Optimizing Sparse SYK. CoRR abs/2506.09037 (2025) - [i10]Eric R. Anschuetz, David Gamarnik, Jonathan Z. Lu:
Decoded Quantum Interferometry Requires Structure. CoRR abs/2509.14509 (2025) - [i9]Mikhail Mints, Eric R. Anschuetz:
Fragmentation is Efficiently Learnable by Quantum Neural Networks. CoRR abs/2512.00751 (2025) - 2024
- [j3]Eric R. Anschuetz, David Gamarnik, Bobak T. Kiani:
Combinatorial NLTS From the Overlap Gap Property. Quantum 8: 1527 (2024) - [c4]Eric R. Anschuetz, Mariesa Teo, Willers Yang, James Sud, Christopher Kang, Teague Tomesh, Frederic T. Chong
:
Quantifying the Limits of Classical Machine Learning Models Using Contextuality. QCE 2024: 628-630 - [i8]Eric R. Anschuetz, Xun Gao:
Arbitrary Polynomial Separations in Trainable Quantum Machine Learning. CoRR abs/2402.08606 (2024) - [i7]Michael A. Perlin, Ruslan Shaydulin, Benjamin P. Hall, Pierre Minssen, Changhao Li, Kabir Dubey, Richard Rines, Eric R. Anschuetz, Marco Pistoia, Pranav Gokhale:
Q-CHOP: Quantum constrained Hamiltonian optimization. CoRR abs/2403.05653 (2024) - [i6]Eric R. Anschuetz:
A Unified Theory of Quantum Neural Network Loss Landscapes. CoRR abs/2408.11901 (2024) - 2023
- [j2]Eric R. Anschuetz, Andreas Bauer, Bobak Toussi Kiani, Seth Lloyd:
Efficient classical algorithms for simulating symmetric quantum systems. Quantum 7: 1189 (2023) - [i5]Joshua Viszlai, Teague Tomesh, Pranav Gokhale, Eric R. Anschuetz, Frederic T. Chong:
Training Quantum Boltzmann Machines with Coresets. CoRR abs/2307.14459 (2023) - [i4]Marco Cerezo, Martin Larocca, Diego García-Martín, Nelson L. Diaz, Paolo Braccia, Enrico Fontana, Manuel S. Rudolph, Pablo Bermejo, Aroosa Ijaz, Supanut Thanasilp, Eric R. Anschuetz, Zoë Holmes:
Does provable absence of barren plateaus imply classical simulability? Or, why we need to rethink variational quantum computing. CoRR abs/2312.09121 (2023) - 2022
- [c3]Eric R. Anschuetz:
Critical Points in Quantum Generative Models. ICLR 2022 - [c2]Joshua Viszlai, Teague Tomesh, Pranav Gokhale, Eric R. Anschuetz, Frederic T. Chong:
Training Quantum Boltzmann Machines with Coresets. QCE 2022: 292-298 - 2021
- [j1]Joseph X. Lin, Eric R. Anschuetz, Aram W. Harrow:
Using Spectral Graph Theory to Map Qubits onto Connectivity-limited Devices. ACM Trans. Quantum Comput. 2(1): 3:1-3:30 (2021) - [i3]Xun Gao, Eric R. Anschuetz, Sheng-Tao Wang, J. Ignacio Cirac, Mikhail D. Lukin:
Enhancing Generative Models via Quantum Correlations. CoRR abs/2101.08354 (2021) - 2020
- [i2]Teague Tomesh, Pranav Gokhale, Eric R. Anschuetz, Frederic T. Chong:
Coreset Clustering on Small Quantum Computers. CoRR abs/2004.14970 (2020)
2010 – 2019
- 2019
- [i1]Eric R. Anschuetz, Cristian Zanoci:
Near-Term Quantum-Classical Associative Adversarial Networks. CoRR abs/1905.13205 (2019) - 2017
- [c1]Eric R. Anschuetz, Jonathan Olson, Alán Aspuru-Guzik, Yudong Cao:
Variational Quantum Factoring. QTOP@NetSys 2017: 74-85
Coauthor Index
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