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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
Qubit seriation: Improving data-model alignment using spectral ordering
Atithi Acharya, Manuel S. Rudolph, Jing Chen, Jacob Miller, and Alejandro Perdomo-Ortiz,
11/29/22
Symmetric Tensor Networks for Generative Modeling and Constrained Combinatorial Optimization
Jing Chen, Javier Lopez Piqueres, and Alejandro Perdomo-Ortiz,
11/17/22
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
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