activity
20242026
most citedAI and Quantum Computing in Binary Photocatalytic Hydrogen Production

14 citations · 14 across the 12 of their papers we have counts for

collaborators

12 papers

quant-ph2026

Auditing Syndrome-to-Decoder Mappings for Repetition, Surface, CSS, and Digitized-GKP Interfaces

Dennis Delali Kwesi Wayo, Chinonso Onah, Rodrigo Alves Dias +2

Quantum error-correction experiments increasingly require a verified interface between measured syndrome bits and decoder-native correction requests. We report a four-branch syndro…

quant-ph2026

Decoder Comparability Across Quantum Software Stacks: Repeated-Round Surface and Digitized-GKP Syndrome Replay

Dennis Delali Kwesi Wayo, Chinonso Onah, Rodrigo Alves Dias +2

We present a contract-preserving, family-aware comparison of decoder behavior across four syndrome-generation stacks (PennyLane, Qiskit, Cirq, and a LiDMaS+ reference) under a fixe…

quant-ph2026

A Unified Hardware-to-Decoder Architecture for Hybrid Continuous-Variable and Discrete-Variable Quantum Error Correction in LiDMaS+

Dennis Delali Kwesi Wayo, Chinonso Onah, Leonardo Goliatt +1

We present an architecture-level hardware-to-logical-to-decoder execution stack for hybrid continuous-variable and discrete-variable quantum error correction in LiDMaS+. Provider-n…

quant-ph2026

Decoder Dependence in Surface-Code Threshold Estimation with Native Gottesman-Kitaev-Preskill Digitization and Parallelized Sampling

Dennis Delali Kwesi Wayo, Chinonso Onah, Leonardo Goliatt +1

We quantify decoder dependence in surface-code threshold studies under two matched regimes: Pauli noise and native GKP-style Gaussian displacement digitization. Using LiDMaS+ v1.1.…

quant-ph2026

Decoder Dependence in Surface-Code Threshold Estimation under Digitized Hybrid Continuous-Variable and Discrete Noise

Dennis Delali Kwesi Wayo, Chinonso Onah, Leonardo Goliatt +1

Surface-code threshold estimates depend on the inference pipeline, including decoder and estimator choices. We compare decoders within a single LiDMaS+ workflow under Pauli-referen…

quant-ph2026

LiDMaS: Architecture-Level Modeling of Fault-Tolerant Magic-State Injection in GKP Photonic Qubits

Dennis Delali Kwesi Wayo

Fault-tolerant quantum computation in photonic architectures requires efficient preparation of high-fidelity logical magic states under realistic constraints of finite squeezing an…

quant-ph2026

First-Principles Optical Descriptors and Hybrid Classical-Quantum Classification of Er-Doped CaF

David Angel Alba Bonilla, Kerem Yurtseven, Krishan Sharma +4

We present a physics-informed classical-quantum machine learning framework for discriminating pristine CaF from Er-doped CaF using first-principles optical descriptors. Fin…

quant-ph2025

DifGa: Differentiable Error Mitigation for Multi-Mode Gaussian and Non-Gaussian Noise in Quantum Photonic Circuits

Dennis Delali Kwesi Wayo, Rodrigo Alves Dias, Leonardo Goliatt +1

We introduce DifGa, a fully differentiable error-mitigation framework for continuous-variable (CV) quantum photonic circuits operating under Gaussian loss and weak non-Gaussian noi…

quant-ph2025

Gaussian Models to Non-Gaussian Realms of Quantum Photonic Simulators

Dennis Delali Kwesi Wayo, Rodrigo Alves Dias, Masoud Darvish Ganji +2

Quantum photonic simulators have emerged as indispensable tools for modeling and optimizing quantum photonic circuits, bridging the gap between theoretical models and experimental…

quant-ph2025

Linear Optics to Scalable Photonic Quantum Computing

Dennis Delali Kwesi Wayo, Leonardo Goliatt, Darvish Ganji

Recent advancements in quantum photonics have driven significant progress in photonic quantum computing (PQC), addressing challenges in scalability, efficiency, and fault tolerance…

physics.comp-ph2024★ 14 cited

AI and Quantum Computing in Binary Photocatalytic Hydrogen Production

Dennis Delali Kwesi Wayo, Leonardo Goliatt, Darvish Ganji

Photocatalytic water splitting has emerged as a sustainable pathway for hydrogen production, leveraging sunlight to drive chemical reactions. This review explores the integration o…

physics.comp-ph2024

Exploring Quantum-Dot Engineered Solid-State Photon Upconversion in PbS:/CuBiO Using Density Functional Theory and Machine Learning Methods for Water Splitting

Dennis Delali Kwesi Wayo, Vladislav Kudryashov, Mirat Karibayev +5

This study presents a comprehensive numerical analysis of a quantum-dot-engineered heterostructure, PbS:/CuBiO, optimized for water splitting applications. Using d…