activity
20172026
most citedTuning Rashba Spin-Orbit Coupling in Gated Multilayer InSe

72 citations · 253 across the 32 of their papers we have counts for

collaborators

34 papers

cs.LG2026

UWM-JEPA: Predictive World Models That Imagine in Belief Space

Santosh Kumar Radha, Oktay Goktas

World models for partially observed environments must imagine multiple compatible hidden futures and steer between them under counterfactual actions. Joint Embedding Predictive Arc…

cs.IR2026

Improving BM25 Code Retrieval Under Fixed Generic Tokenization: Adaptive q-Log Odds as a Drop-In BM25 Fix

Santosh Kumar Radha, Oktay Goktas

In retrieval-augmented coding, failures often begin when the relevant file is absent from the retrieved context. Under frozen generic tokenization, where a BM25 index has been buil…

cs.AI2025★ 1 cited

Adaptive Graph of Thoughts: Test-Time Adaptive Reasoning Unifying Chain, Tree, and Graph Structures

Tushar Pandey, Ara Ghukasyan, Oktay Goktas +1

Large Language Models (LLMs) have demonstrated impressive reasoning capabilities, yet their performance is highly dependent on the prompting strategy and model scale. While reinfor…

cs.AI2025★ 2 cited

On the Reasoning Capacity of AI Models and How to Quantify It

Santosh Kumar Radha, Oktay Goktas

Recent advances in Large Language Models (LLMs) have intensified the debate surrounding the fundamental nature of their reasoning capabilities. While achieving high performance on…

cs.LG2024

Composite Learning Units: Generalized Learning Beyond Parameter Updates to Transform LLMs into Adaptive Reasoners

Santosh Kumar Radha, Oktay Goktas

Human learning thrives on the ability to learn from mistakes, adapt through feedback, and refine understanding-processes often missing in static machine learning models. In this wo…

cs.CL2024

Iteration of Thought: Leveraging Inner Dialogue for Autonomous Large Language Model Reasoning

Santosh Kumar Radha, Yasamin Nouri Jelyani, Ara Ghukasyan +1

Iterative human engagement is a common and effective means of leveraging the advanced language processing power of large language models (LLMs). Using well-structured prompts in a…

cond-mat.mtrl-sci2024

Quasiparticle band structure and excitonic optical response in V2O5 bulk and monolayer

Claudio Garcia, Santosh Kumar Radha, Swagata Acharya +1

The electronic band structure of VO is calculated using an all-electron quasiparticle self-consistent (QS) method, including electron-hole ladder diagrams in the scree…

cond-mat.str-el2024

Electronic structure and magnetism in P4/nmm KCoO2

Ozan Dernek, Santosh Kumar Radha, Jerome Jackson +1

KCoO2 has been found in 1975 to exist in a unique structure with P4/nmm spacegroup with Co in a square pyramidal coordination with the Co atoms in the plane linked by O in a square…

quant-ph2023

Quantum-Classical Multiple Kernel Learning

Ara Ghukasyan, Jack S. Baker, Oktay Goktas +2

As quantum computers become increasingly practical, so does the prospect of using quantum computation to improve upon traditional algorithms. Kernel methods in machine learning is…

quant-ph2023★ 3 cited

Parallel hybrid quantum-classical machine learning for kernelized time-series classification

Jack S. Baker, Gilchan Park, Kwangmin Yu +3

Supervised time-series classification garners widespread interest because of its applicability throughout a broad application domain including finance, astronomy, biosensors, and m…

cs.DC2023

Workflows Community Summit 2022: A Roadmap Revolution

Rafael Ferreira da Silva, Rosa M. Badia, Venkat Bala +102

Scientific workflows have become integral tools in broad scientific computing use cases. Science discovery is increasingly dependent on workflows to orchestrate large and complex s…

quant-ph2023

A Quantum-Inspired Binary Optimization Algorithm for Representative Selection

Anna G. Hughes, Jack S. Baker, Santosh Kumar Radha

Advancements in quantum computing are fuelling emerging applications across disciplines, including finance, where quantum and quantum-inspired algorithms can now make market predic…

quant-ph2022★ 2 cited

Quantum Variational Rewinding for Time Series Anomaly Detection

Jack S. Baker, Haim Horowitz, Santosh Kumar Radha +6

Electron dynamics, financial markets and nuclear fission reactors, though seemingly unrelated, all produce observable characteristics evolving with time. Within this broad scope, d…

quant-ph2022★ 5 cited

A quantum generative model for multi-dimensional time series using Hamiltonian learning

Haim Horowitz, Pooja Rao, Santosh Kumar Radha

Synthetic data generation has proven to be a promising solution for addressing data availability issues in various domains. Even more challenging is the generation of synthetic tim…

quant-ph2022★ 18 cited

Wasserstein Solution Quality and the Quantum Approximate Optimization Algorithm: A Portfolio Optimization Case Study

Jack S. Baker, Santosh Kumar Radha

Optimizing of a portfolio of financial assets is a critical industrial problem which can be approximately solved using algorithms suitable for quantum processing units (QPUs). We b…

cond-mat.mtrl-sci2022

Knitting quantum knots: Topological phase transitions in Two-Dimensional systems

Santosh Kumar Radha

We start by describing a symmetry enforced nodal line semi-metal (NLSM) in the 2D flat form of honeycomb Group - V and its non trivial thermo-electric response. We will then procee…

quant-ph2022★ 1 cited

Generalized quantum similarity learning

Santosh Kumar Radha, Casey Jao

The similarity between objects is significant in a broad range of areas. While similarity can be measured using off-the-shelf distance functions, they may fail to capture the inher…

cond-mat.mtrl-sci2021★ 31 cited

Optical response and band structure of LiCoO2 including electron-hole interaction effects

Santosh Kumar Radha, Walter R. L. Lambrecht, Brian Cunningham +3

The optical response functions and band structures of LiCoO are studied at different levels of approximation, from density functional theory (DFT) in the generalized gradient a…

quant-ph2021★ 1 cited

Quantum constraint learning for quantum approximate optimization algorithm

Santosh Kumar Radha

The quantum approximate optimization algorithm (QAOA) is a hybrid quantum-classical variational algorithm that offers the potential to handle combinatorial optimization problems. I…

cond-mat.mtrl-sci2021★ 25 cited

Ultrathin 2D-oxides: a perspective on fabrication, structure, defect, transport, electron and phonon properties

Santosh Kumar Radha, Kyle Crowley, Brian A. Holler +7

In the field of atomically thin 2D materials, oxides are relatively unexplored in spite of the large number of layered oxide structures amenable to exfoliation. There is an increas…

cond-mat.mtrl-sci2021

Distortion modes in halide perovskites: to twist or to stretch, a matter of tolerance and lone pairs

Santosh Kumar Radha, Churna Bhandar, Walter R. L. Lambrech

Using first-principles calculations, we show that CsBX halides with B=Sn or Pb undergo octahedral rotation distortions, while for B=Ge and Si, they undergo a ferro-electric rho…

quant-ph2021★ 3 cited

Quantum option pricing using Wick rotated imaginary time evolution

Santosh Kumar Radha

In this paper we reformulate the problem of pricing options in a quantum setting. Our proposed algorithm involves preparing an initial state, representing the option price, and the…

cond-mat.str-el2020★ 9 cited

Topological obstructed atomic limit by annihilating Dirac fermions

Santosh Kumar Radha, Walter R. L. Lambrecht

We show that annihilating a pair of Dirac fermions implies a topological transition from the critical semi-metallic phase to an Obstructed Atomic Limit (OAL) insulator phase instea…

cond-mat.mtrl-sci2020★ 12 cited

Quasiparticle self-consistent band structures and high-pressure phase transitions of LiGaO and NaGaO$_2

Santosh Kumar Radha, Amol Ratnaparkhe, Walter R. L. Lambrecht

Quasi-particle self-consistent calculations are presented for the band structures of LiGaO2 and NaGaO2 in the orthorhombic tetrahedrally coordinated crystal structure…