3 citations · 3 across the 3 of their papers we have counts for
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Qumode-Based Variational Quantum Eigensolver for Molecular Excited States
Rishab Dutta, Cameron Cianci, Alexander V. Soudackov +5
We introduce the Qumode Subspace Variational Quantum Eigensolver (QSS-VQE), a hybrid quantum-classical algorithm for computing molecular excited states using the Fock basis of boso…
Correlated Purification for Restoring -Representability in Quantum Simulation
Yuchen Wang, Irma Avdic, Michael Rose +4
Classical shadow tomography offers a scalable route to estimating properties of quantum states, but the resulting reduced density matrices (RDMs) often violate constraints that ens…
Constrained Shadow Tomography for Molecular Simulation on Quantum Devices
Irma Avdic, Yuchen Wang, Michael Rose +4
Quantum state tomography is a fundamental task in quantum information science, enabling detailed characterization of correlations, entanglement, and electronic structure in quantum…
Quantum Many-body Simulations from a Reinforcement-Learned Exponential Ansatz
Yuchen Wang, David A. Mazziotti
Solving for the many-body wavefunction represents a significant challenge on both classical and quantum devices because of the exponential scaling of the Hilbert space with system…
Characterizing conical intersections of nucleobases on quantum computers
Yuchen Wang, Cameron Cianci, Irma Avdic +7
Hybrid quantum-classical computing algorithms offer significant potential for accelerating the calculation of the electronic structure of strongly correlated molecules. In this wor…
Shadow Ansatz for the Many-Fermion Wave Function in Scalable Molecular Simulations on Quantum Computing Devices
Yuchen Wang, Irma Avdic, David A. Mazziotti
Here we show that shadow tomography can generate an efficient and exact ansatz for the many-fermion wave function on quantum devices. We derive the shadow ansatz -- a product of tr…