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Synergy Between Quantum Circuits and Tensor Networks: Short-cutting the Race to Practical Quantum Advantage

  • Manuel S. Rudolph
  • Jacob Miller
  • Jing Chen
  • Atithi Acharya
  • Alejandro Perdomo-Ortiz
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Chemistry Materials Biopharma Pharma Algorithms Machine Learning Annealing Variational Quantum Factoring Finance Variational Quantum Algorithms Variational Quantum Eigensolver Robust Amplitude Estimation Error Mitigation
On proving the robustness of algorithms for early fault-tolerant quantum computers
Rutuja Kshirsagar, Amara Katabarwa, and Peter Johnson,
09/26/22
A pathway to accurate potential energy curves on NISQ devices
Francesco Benfenati
09/23/22
Quantum algorithm for ground state energy estimation using circuit depth with exponentially improved dependence on precision
Guoming Wang, Ruizhe Zhang, Shuchen Zhu, and Peter Johnson,
09/15/22
Decomposition of Matrix Product States into Shallow Quantum Circuits
Manuel S. Rudolph, Jing Chen, Jacob Miller, Atithi Acharya, and Alejandro Perdomo-Ortiz,
09/02/22
Synergy Between Quantum Circuits and Tensor Networks: Short-cutting the Race to Practical Quantum Advantage
Manuel S. Rudolph, Jacob Miller, Jing Chen, Atithi Acharya, and Alejandro Perdomo-Ortiz,
08/30/22
Noise tailoring for Robust Amplitude Estimation
Archismita Dalal and Amara Katabarwa
08/24/22
Do Quantum Circuit Born Machines Generalize?
Kaitlin Gili, Mohamed Hibat-Allah, Marta Mauri, and Alejandro Perdomo-Ortiz,
07/29/22
Neural network enhanced measurement efficiency for molecular groundstates
Dmitri Iouchtchenko, Jérôme F. Gonthier, and Alejandro Perdomo-Ortiz,
07/01/22
Classically-Boosted Quantum Optimization Algorithm
Guoming Wang
03/22/22
Reducing the Cost of Energy Estimation in VQE with RAE
Peter Johnson, Alex Kunitsa, Jérôme F. Gonthier, Max Radin, and Jhonathan Romero Fontalvo,
03/18/22
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