49 citations · 88 across the 13 of their papers we have counts for
13 papers
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…
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…
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…
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…
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…
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…
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…
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…
Accessing different topological classes and types of Majorana edge states in coupled superconducting platforms using perturbations
Sayonee Ray, Subroto Mukerjee, Nayana Shah
The study of topological classes and their associated edge states has been of ongoing interest. In one dimension, the standard platform of these studies has been the conventional K…
Topology and quantum phases of low dimensional fermionic systems
Sayonee Ray
In this thesis, we study quantum phase transitions and topological phases in low dimensional fermionic systems. In the first part, we study quantum phase transitions and the nature…
Photo-induced SU(3) topological material of spinless fermions
Sayonee Ray, Ananya Ghatak, Tanmoy Das
Generation of topological phases of matter with SU(3) symmetry in a condensed matter setup is challenging due to the lack of an intrinsic three-fold chirality of quasiparticles. We…
Boosted one dimensional superfluids on a lattice
Sayonee Ray, Subroto Mukerjee, Vijay B. Shenoy
We study the effect of a boost (Fermi sea displaced by a finite momentum) on one dimensional systems of lattice fermions with short-ranged interactions. In the absence of a boost s…
Assembling topological insulators with lasers
Sayonee Ray, Kallol Sen, Tanmoy Das
Despite the realizations of spin-orbit (SO) coupling and synthetic gauge fields in optical lattices, the associated time-reversal symmetry breaking, and 1D nature of the observed S…