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20132025
most citedImaging Cooper Pairing of Heavy Fermions in CeCoIn5

213 citations · 479 across the 16 of their papers we have counts for

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6 papers · 1 filter

quant-ph2024★ 1 cited

Mitigating Errors in DC Magnetometry via Zero-Noise Extrapolation

John S. Van Dyke, Zackary White, Gregory Quiroz

Zero-noise extrapolation (ZNE), a technique to estimate quantum circuit expectation values through noise scaling and extrapolation, is well-studied in the context of quantum comput…

quant-ph2023★ 2 cited

Quantum tensor network algorithms for evaluation of spectral functions on quantum computers

Michael L. Wall, Aidan Reilly, John S. Van Dyke +2

We investigate quantum algorithms derived from tensor networks to simulate the static and dynamic properties of quantum many-body systems. Using a sequentially prepared quantum cir…

quant-ph2023★ 6 cited

Time-crystalline behavior in central-spin models with Heisenberg interactions

Rafail Frantzeskakis, John Van Dyke, Leon Zaporski +5

Time-crystalline behavior has been predicted and observed in quantum central-spin systems with periodic driving and Ising interactions. Here, we theoretically show that it can also…

quant-ph2022★ 1 cited

Scaling adaptive quantum simulation algorithms via operator pool tiling

John S. Van Dyke, Karunya Shirali, George S. Barron +3

Adaptive variational quantum simulation algorithms use information from the quantum computer to dynamically create optimal trial wavefunctions for a given problem Hamiltonian. A ke…

quant-ph2021★ 28 cited

Preparing exact eigenstates of the open XXZ chain on a quantum computer

John S. Van Dyke, Edwin Barnes, Sophia E. Economou +1

The open spin-1/2 XXZ spin chain with diagonal boundary magnetic fields is the paradigmatic example of a quantum integrable model with open boundary conditions. We formulate a quan…

quant-ph2021★ 38 cited

Preparing Bethe Ansatz Eigenstates on a Quantum Computer

John S. Van Dyke, George S. Barron, Nicholas J. Mayhall +2

Several quantum many-body models in one dimension possess exact solutions via the Bethe ansatz method, which has been highly successful for understanding their behavior. Neverthele…