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20022022
most citedFrequency-encoded photonic qubits for scalable quantum information processing

281 citations · 2.1k across the 40 of their papers we have counts for

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35 papers · 1 filter

quant-ph2022

Simulating Heisenberg Interactions in the Ising Model with Strong Drive Fields

Anthony N. Ciavarella, Stephan Caspar, Hersh Singh +2

The time-evolution of an Ising model with large driving fields over discrete time intervals is shown to be reproduced by an effective XXZ-Heisenberg model at leading order in the i…

quant-ph2021★ 2 cited

Quantifying the Impact of Precision Errors on Quantum Approximate Optimization Algorithms

Gregory Quiroz, Paraj Titum, Phillip Lotshaw +4

The quantum approximate optimization algorithm (QAOA) is a hybrid quantum-classical algorithm that seeks to achieve approximate solutions to optimization problems by iteratively al…

quant-ph2021★ 1 cited

Hybrid quantum-classical approach for coupled-cluster Green's function theory

Trevor Keen, Bo Peng, Karol Kowalski +2

The three key elements of a quantum simulation are state preparation, time evolution, and measurement. While the complexity scaling of time evolution and measurements are well know…

quant-ph2020★ 24 cited

Digital-Analog Quantum Simulations Using The Cross-Resonance Effect

Tasio Gonzalez-Raya, Rodrigo Asensio-Perea, Ana Martin +4

Digital-analog quantum computation aims to reduce the currently infeasible resource requirements needed for near-term quantum information processing by replacing sequences of one-…

quant-ph2020★ 59 cited

Fully Arbitrary Control of Frequency-Bin Qubits

Hsuan-Hao Lu, Emma M. Simmerman, Pavel Lougovski +2

Accurate control of two-level systems is a longstanding problem in quantum mechanics. One such quantum system is the frequency-bin qubit: a single photon existing in superposition…

quant-ph2020★ 122 cited

A practical and efficient approach for Bayesian quantum state estimation

Joseph M. Lukens, Kody J. H. Law, Ajay Jasra +1

Bayesian inference is a powerful paradigm for quantum state tomography, treating uncertainty in meaningful and informative ways. Yet the numerical challenges associated with sampli…