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20162026
most citedSimulating a measurement-induced phase transition for trapped ion circuits

49 citations · 88 across the 13 of their papers we have counts for

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8 papers · 1 filter

quant-ph2026

Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis

Jason Iaconis, Sayonee Ray, Samwel Sekwao +2

Topological data analysis (TDA) provides a powerful framework for extracting information about the shape of complex, unstructured data, but the classical cost of computing high dim…

quant-ph2026

Quantum Lattice Boltzmann Solutions for Transport under 3D Spatially Varying Advection on Trapped Ion Hardware

Sayonee Ray, Jezer Jojo, Jason Iaconis +5

The Quantum Lattice Boltzmann Method (QLBM) has emerged as one of the most promising quantum computing approaches for the numerical simulation of problems in computational fluid dy…

quant-ph2026

Quantum Feature Selection with Higher-Order Binary Optimization on Trapped-Ion Hardware

Carlos Flores-Garrigós, Anton Simen, Qi Zhang +6

We present a quantum feature-selection framework based on a higher-order unconstrained binary optimization (HUBO) formulation that explicitly incorporates multivariate dependencies…

quant-ph2026

Measuring what matters: A scalable framework for application-level quantum benchmarking

Willie Aboumrad, Claudio Girotto, Joshua Goings +16

As quantum computing systems continue to mature, there is an increasing need for benchmarking methodologies that capture performance in terms of meaningful, application-level metri…

quant-ph2025

Algorithmic Advances Towards a Realizable Quantum Lattice Boltzmann Method

Apurva Tiwari, Jason Iaconis, Jezer Jojo +4

The Quantum Lattice Boltzmann Method (QLBM) is one of the most promising approaches for realizing the potential of quantum computing in simulating computational fluid dynamics. Man…

quant-ph2024★ 24 cited

Quantum Natural Language Processing

Dominic Widdows, Willie Aboumrad, Dohun Kim +2

Language processing is at the heart of current developments in artificial intelligence, and quantum computers are becoming available at the same time. This has led to great interes…

quant-ph2023★ 4 cited

Decoherence Limits the Cost to Simulate an Anharmonic Oscillator

Tzula B. Propp, Sayonee Ray, John B. DeBrota +2

We study how decoherence increases the efficiency with which we can simulate the quantum dynamics of an anharmonic oscillator, governed by the Kerr effect. As decoherence washes ou…

quant-ph2021★ 49 cited

Simulating a measurement-induced phase transition for trapped ion circuits

Stefanie Czischek, Giacomo Torlai, Sayonee Ray +2

The rise of programmable quantum devices has motivated the exploration of circuit models which could realize novel physics. A promising candidate is a class of hybrid circuits, whe…